Category Archives: Other Courses

Automation Anywhere

Automation Anywhere Online Course Curriculum

Enroll for Automation Anywhere Course, Spiritsofts is the best Robotic Process Automation (RPA) training organization which delivers the training through RPA online training, instructor LED-Online training, classroom training and through RPA Self-Paced Video learning. Spiritsofts is the best Automation Anywhere training Institute which gives the best practical knowledge in Automation Anywhere tool.

Our instructors have well experience in RPA industry so that the candidate can undergo basic level to advanced level in Online Automation Anywhere tool. The Automation Anywhere online training schedule and timing are very flexible so that fresher graduated as well as working professionals both can take this course. Take the best Automation Anywhere online training from Spiritsofts to get best career opportunities in RPA industry. We are the best Automation Anywhere training providers in Hyderabad.

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Key FeaturesCourse ContentFAQs
 45 hours of Instructor Training Classes                            24/7 Support

 Lifetime Access to Recorded Sessions                              Practical Approach

 Real World use cases and Scenarios                                 Expert & Certified Trainers

INTRODUCTION TO AUTOMATION ANYWHERE

  • Architecture
  • Introduction to Product Architecture
  • Task Bots and its usages
  • Meta Bots and its usages
  • Learn IQ Bots

DASHBOARD IN AUTOMATION ANYWHERE

  • Task Bots
  • Recording the task.
  • Create Task
  • Task Editor and its usages
  • Features in Task Editor

INTEGRATE PDF

  • Usage of If/else command
  • Datanse and AA
  • Email Automation in AA
  • Handling Exceptions
  • Commans in PGP

IMPLEMENT WEB SERVICES

  • MetaBot and its Usages
  • Overview
  • Creation of Metabot
  • Understand Designer in MetaBot

ADDING METABOT

  • Recordng Recordset
  • Various configurations in MetaBot Screens
  • Calibirations in MetaBotScreens

FOLDERS TO METABOT

  • How to record in MetaBot
  • Logic Editor
  • Import and exprt MetaBot

Commands Categories

  • Mouse
  • Files
  • Web Service
  • Tasks
  • Operations
  • Integration
Who Are The Trainers?
What If I Miss A Class?
How Will I Execute The Practical?
If I Cancel My Enrollment, Will I Get The Refund?
Will I Be Working On A Project?
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Who Are Our Customers?

AWS DevOps Online Training

Our Institute offers Online AWS DevOps Training by Experts, Learn AWS DevOps Certification Training with Course Material, Attend  Demo for free & you will find spiritsofts is the best Institute within reasonable fee

The Training in AWS DevOps is every thing we explained based on real time scenarios,it works which we do in companies.

Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.

Key FeaturesCourse ContentFAQs
 40 hours of Instructor Training Classes                            24/7 Support

 Lifetime Access to Recorded Sessions                              Practical Approach

 Real World use cases and Scenarios                                 Expert & Certified Trainers

What is AWS technology
  • Amazon Web Services is one of the best cloud computing platforms that is provided by Amazon. The Amazon Web services are sometimes called as Cloud services or remote computing services. They have launched their operations in the year 2006 for simple websites and client-side application and eventually has grown to a completely new level.
Basics of AWS Devops Architect
  • Within this course, an individual will gain a lot of exposure towards developing, administrating and architecting different AWS cloud solutions. Using these techniques one can manage, develop and deploy cloud-based solutions on AWS platform. A variety of tools or process are used within this process some of them can be :
  • EC2, EBS, ELB, S3, KMS, RDS, Snowball, DynamoDB etc.
  • This course is designed in such a way that an individual will be able to build the necessary core skills in AWS platform. With this course exposure, one will understand and be expose towards different AWS terminology concepts, secure measures incorporated in AWS etc.
  • The individual will be exposed to the industry best practices while architecting a cloud-based solution. During this program, the individual will get enough work experience that is necessary to proceed in AWS.
Cloud technology implementation
  • The term cloud computing or cloud technology go hand in hand. In today’s world, most of the companies are utilizing virtual machines, storage of an application over the cloud rather than maintaining physically. Thus reducing the efforts on maintenance and operations activities and cost associated with it.
  • It is as good as using electricity and paying for what you have used so far.
  • With Cloud technology Implementation, the following benefits have been noticed:
  • Self-service provisioning: This means that we don’t need to have IT administrators as a resource to support any of the activities.
  • Elasticity: As discussed earlier, you can just use how much amount of storage is required and you will end up paying for the same. Thus the traditional way of taking up a certain space is not at all necessary and it reduces the overall cost.
  • Pay per use: This is one of the best features of using cloud technology and one has to pay for what they have used in terms of the resources.
  • Migration flexibility: Data migration has been more flexible these days as most of the cloud service providers have started building migration tools so that it will be helpful for their customers
Practical sessions on Devops technology
  • The DevOps technology has revolutionized few of the activities and helping a lot of individuals to streamline their activities. This process has definitely helped the individuals to make sure that their deployment, post-production activities are taken care of in a standard way.
  • During this course, one will get exposed to various lab sessions so that the individual will get enough exposure towards the real time scenarios and also can mimic the practical implementation sessions. Thus making the experience real time which helps the individuals to gain more knowledge in lesser time.
Fault tolerant systems and their usefulness
  • The fault tolerant systems are built on a primary purpose where the primary system would intact without any outage during the fault situations. During this condition, the system should be working to a satisfactory level.
  • Within the fault-tolerant systems the term recovery from error is considered in two ways, they are:
  • Roll Forward
  • Rollback
  • If the system has gone to a stage where something is not working appropriately then it goes to a previous stable point using the checkpoints.
  • The benefits of using the fault tolerant systems are:
  • It helps the primary systems to be intact and can be working smoothly without any problem even in case of errors. Thus reducing the downtime associated with the systems.
  • Helps you to move to a stable point, i.e. rollback or roll forward based on the requirement.
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AWS Developer Online Training

Enrol for expert level Online AWS Developer Training, Learn Amazon Web Services Developer Training Course by Certified Experts. Enrol today for Free Demo Class. Course Material Pay Fees in Instalments.

The Training in AWS Developer Training is every thing we explained based on real time scenarios,it works which we do in companies.
Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.

Key FeaturesCourse ContentFAQs
 45 hours of Instructor Training Classes                            24/7 Support

 Lifetime Access to Recorded Sessions                              Practical Approach

 Real World use cases and Scenarios                                 Expert & Certified Trainers

Introduction to AWS Workflow service

AWS Workflow service is also known as Amazon SWF.

It helps the developers to build, run and scale a wide variety of background tasks that are standalone or might have parallel or sequential steps involved. In short, if we have to describe Amazon SWF then it can be classified as a fully managed task coordinator in the cloud environment.

If your application takes almost say 500 milliseconds to execute and gives you the output. In this case, you need to understand where exactly the processing state has accomplished and just in case if you can always retry and recovery from the task failure. In these cases, Amazon SWF can definitely help you.

 

Benefits of Using Amazon SWF:

The following are the benefits that are associated with Amazon SWF.

Easy:The first and foremost thing that Amazon SWF talks about is to separates that control flow steps vs the actual units of work which has a business logic associated. Using this approach it is easy for the individual to change the business logic if they have to and this can happen without changing any of the control flow.
Reliable:The Amazon SWF is executed under Amazon’s high-availability data centers, so the tracking and processing engine is available whenever the applications are needed.

Simple:The Amazon SWF completely replaces the complexity of having custom coded workflow solutions and ignites the use of process automation software with a complete workflow management web service. Thus reducing some of the infrastructure related activities from the developers and giving them time to go through their functionality.

Scalable: As the SWF process is running inside the Amazon cloud services, the application usage is scalable and there is no restriction.

Flexible:All the application components and logic can be written in any programming language and one can execute them on the cloud itself and there are no restrictions on this. Thus making this very flexible to use.

 

Basic architecture of AWS and its implementation

The basic structure of Amazon Web services is Ec2.

EC2 stands for Elastic Compute Cloud. Using this user will be able to use virtual machines of various configurations as per the requirements. The requirements can be based on the various different configurations needed, pricing, server etc.

 

Load Balancing:

A load balancer to a hardware or a software is to manage the load on the web servers. Thus making them more efficient and the application will run smoothly without any issues.

 

Amazon CloudFront:

The Amazon CloudFront is completely responsible for content delivery. The content can be dynamic, static or it can be streaming content. All the requests for the content are directed towards the nearest edge location, thus improving the performance.

It is designed to work with Amazon Web services, like S3 and Ec2.

Elastic Load Balancer:The main use of Elastic Load balancer is that it diverts or spread the traffic to different web servers which ultimately improves the performance. As per the traffic conditions and the flow, the elastic load balancer will be able to grow and shrink dynamically.

Security Management:Amazon’s Elastic Compute Cloud has a feature called security groups. Using these groups is like having an inbound network firewall.

Amazon RDS:Amazon RDS stands for Relational Database Services, it provides all the functionalities and access as that of MySQL, Oracle etc. The same queries and application can be used in Amazon RDS.

Storage and Backups:The Amazon cloud provides various options for storing, accessing and backing up all web application data and the assets that are available. For this we can use S3 ( Simple Storage Service). It provides an interface where the user can store and retrieve data from any part of the web.

Auto Scaling:This is the main difference between the AWS cloud architecture and the traditional way of hosting information. With the use of AWS cloud architecture, the web application can be scaled dynamically and can be expanded based on the need. All this happens in a fraction of minutes and the best part is we don’t have to do anything about it.

 

AWS cloud formation

Using AWS CloudFormation, it gives an opportunity for the developers and the system administrators for an easy and creative way to manage and create a collection of related AWS resources and updating them in an orderly fashion.

One can create their own templates describing the AWS resources and associated dependencies. Once the templates are designed and if you want to visualize your templates then you can use a drag and drop interface which is exclusively built for this, i.e. AWS CloudFormation Designer.

 

Bug management

All the bugs can be tracked and monitored without the AWS environment itself. Amazon has a marketplace where a lof independent applications are available where one can readily use it and start being productivity and do quality measurements. Most of these applications are available in the Amazon marketspace and have all different types of information available.

 

Writing efficient codes

Using Amazon AWS it means that the user is taken care of all different aspects of a project life cycle and they have been very particular about the services that they have provided and the main motto is to make sure that they add value to the society rather than just putting out just like a service. Within AWS, most of the programming languages are supported and the individual can write their business logic and can be executed in the same environment.

 

Career counselling

The use of AWS services are vast and it has to offer a lot to the individuals. So one has to make sure that they are aware of the different types of services and individuals can start building the necessary skills and it is one of the hot topics in the industry. Anyone having experience in any of the AWS tools is considered to be a hot property in the recruitment world.

The main motto should be to gain exposure towards all different products that are available within the marketplace.

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R Programming Online Training

Enroll for expert level Online R Programming Training by Spiritsofts. Learn R Programming Language Training by Certified Experts with Course Material, Record Video Tutorials Pay Fees in Instalments.

Enroll today for live demo class, Attend the Demo for free & you will find spiritsofts is the best Online Training Institute within reasonable fee, updated course materiel PDF.

The Training in R Programming Language is every thing we explained based on real time scenarios,it works which we do in companies.

Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.

Key FeaturesCourse ContentFAQs

What is R Programming?

R Programming is a powerful statistical programming language which is used for predictive modelling and other data mining related techniques. R programming can be used for Data manipulation, Data aggregation, Statistical Modelling, Creating charts and plots. R programming is becoming the most sought after skill in the field of analytics for its open source credibility. It is a simple programming language which requires no pre-requisites unlike other programming languages. There are many spectacular packages available in R that will help in a brief data analysis. R can also be collaborated with other data management tools like Excel, Access, Oracle, SQL server which makes it a powerful tool.

 40 hours of Instructor Training Classes                            24/7 Support*

 Lifetime Access to Recorded Sessions                              Practical Approach

 Real World use cases and Scenarios                                 Expert & Certified Trainers

R Programming Training Curriculum

Introduction to R

  • What is R?
  • Why R?
  • Installing R
  • R environment
  • How to get help in R
  • R console and Editor

 

Understanding R data structure

  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using C, Cbind, Rbind, attach and detach functions in R
  • Factors

 

Importing data

  • Reading Tabular Data files
  • Reading CSV files
  • Importing data from excel
  • Importing data from SAS
  • Accessing database
  • Saving in R data
  • Loading R data objects
  • Writing to files

 

Manipulating Data

  • Selecting rows/observations
  • Selecting columns/fields
  • Merging data
  • Relabelling the column names
  • Converting variable types
  • Data sorting
  • Data aggregation

 

Using functions in R

  • Commonly used Mathematical Functions
  • Commonly used Summary Functions
  • Commonly used String Functions
  • User defined functions
  • local and global variable

 

R Programming

  • While loop
  • If loop
  • For loop
  • Arithmetic operations

 

Charts and Plots

  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing graphs
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R Programming Course Online | R Programming Language Training

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Artificial Intelligence Training

Enroll  for Expert Level Online Artificial Intelligence Training By Spiritsofts. Learn Artificial Intelligence AI Training with certified Experts, Enroll today for attend live Free Demo & you will find Spiritsofts is the Best Online Training Institute within reasonable fee along with updated course materiel PDF.

The Training in Artificial Intelligence AI is everything we explained based on real time scenarios, it works which we do in companies.

Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.

Key FeaturesCourse ContentFAQs

 40 hours of Instructor Training Classes                            24/7 Support

 Lifetime Access to Recorded Sessions                              Practical Approach

 Real World use cases and Scenarios                                 Expert & Certified Trainers

 

Artificial intelligence is becoming increasingly relevant in the modern world where everything is driven by data and automation. It is used extensively across many fields such as image recognition, robotics, search engines, and self-driving cars. In this Artificial Intelligence training at Bangalore, we will explore various real-world scenarios. We will start by talking about various realms of artificial intelligence. We’ll then move on to discuss more complex algorithms, such as Extremely Random Forests, Hidden Markov Models, Genetic Algorithms, Artificial Neural Networks, and Convolutional Neural Networks, and so on.

This artificial intelligence course is for Python programmers looking to use artificial intelligence algorithms to create real-world applications. This artificial intelligence course is friendly to Python beginners, but familiarity with Python programming would certainly be helpful so you can play around with the code. It is also useful to experienced Python programmers who are looking to implement artificial intelligence techniques.

 

Learning Objectives for this Course:

This course covers foundational concepts and hands-on learning of leading machine learning tools, such as Python and TensorFlow.
Over the course of the 40 Hours, candidates will not only gain theoretical knowledge of machine learning tools, but also gain exposure to business perspectives and industry best practices through lectures, Practice sessions, Assignments and project submissions.

Software to be installed

Anaconda – https://www.anaconda.com/download/

Machine Requirement:

Recommended – Machine with 4GB RAM, i3 or above quad-core processor

Requirement: Working Internet Connection throughout the training for participants.

Python Libraries used (Most of them are already available in Anaconda, others we will install during the training)

Overview of Artificial Intelligence

  • Introduction
  • Definition
  • Intelligent agents

Representation and search State Space Search

  • Information on State Space Search
  • Graph theory on State Space Search
  • Problem Solving through State Space Search
  • Solution for State Space Search
  • FSM
  • BFS on Graph
  • DFS algo
  • DFS with iterative deepening
  • backtracking algo
  • trace backtracking on graph part 1
  • trace backtracking on graph part 2
  • Summary State Space Search

 

Representation and search Heuristic Search

  • Heuristic Search Overview
  • Heuristic Calculation technique part 1
  • Heuristic Calculation technique part 2
  • Simple hill climbing
  • best first search algo
  • tracing best first search 1
  • best first search continue
  • admissibility 1
  • mini-max
  • two ply min max
  • alpha beta pruning

 

Machine Learning

  • machine learning_overview
  • perceptron learning
  • perceptron with linearly separable
  • backpropagation with multilayer neuron
  • W for hidden node and back propagation algo
  • backpropagation algorithm explained
  • back propagation calculation_part01
  • back propagation calculation_part02
  • updation of weight and cluster
  • k-means cluster‚NNalgo and application of machine learning

 

Logics and reasoning

  • logics_reasoning_overview_propositional calculas part 1
  • logics_reasoning_overview_propositional calculas part 2
  • proportional calculus
  • predicate calculus
  • First order predicate calculus
  • modus ponus‚tollens
  • unification and deduction process
  • resolution refutation
  • resolution refutation in detail
  • resolution refutation example-2 convert into clause
  • resolution refutation example-2 apply refutation
  • unification substitution and skolemization
  • prolog overview_some part of reasoning
  • model based and CBR reasoning

 

Rule based Programming

  • production system
  • trace of production system
  • knight tour prob in chessboard
  • Goal driven_data driven production system part _ 1
  • Goal driven_data driven production system part _ 2
  • goal driven Vs data driven and inserting and removing facts
  • defining rules and commands
  • CLIPS installation and clipstutorial 1
  • CLIPS tutorial 2
  • CLIPS tutorial 3
  • CLIPS tutorial 4
  • CLIPS tutorial 5_part01
  • CLIPS tutorial 5_part02
  • tutorial 6
  • CLIPS tutorial 7
  • CLIPS tutorial 8
  • variable in pattern tutorial 9
  • tutorial 10
  • more on wildcardmatching_part01
  • more on wildcardmatching_part02
  • more on variables
  • deffacts and deftemplates_part01
  • deffacts and deftemplates_part02
  • template indetail part1
  • not operator
  • forall and exists_part01
  • forall and exists_part02
  • truth and control
  • tutorial 12

 

Decision Making

  • intelligent agent
  • simple reflex agent
  • simple reflex agent with internal state
  • goal based agent
  • utility based agent
  • basics of utility theory
  • maximum expected utility
  • decision theory and decision network
  • reinforcement learning
  • MDPand DDN

 

Stochastic methods

  • basics of set theory part _ 1
  • basics of set theory part _ 2
  • probability distribution
  • baysian rule for conditional probability
  • examples of bayes theorm

 

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SAS Data Integration Studio Training

We offers Online SAS Data Integration Studio Training by Certified Experts, Learn SAS DI-SAS Data Integration Studio 4.9 Course with live tutorial videos, Attend Demo for free Spiritsofts is best institute within reasonable fee | SAS DI Training Material PDF | Job Support | Placement

Spiritsofts is the best Training Institute to expand your skills and knowledge. We Provides the best learning Environment. Obtain all the training by our expert professionals which is having working experience from Top IT companies.

Spiritsofts offers world class Online Training for Professionals.
The Institute is continuously upgrading and updating along with the current industry needs. The Training in is every thing we explained based on real time scenarios, it works which we do in companies.

Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.

Key FeaturesCourse ContentFAQs
  40 hours of Instructor Training Classes                            24/7 Support

 Lifetime Access to Recorded Sessions                              Practical Approach

 Real World use cases and Scenarios                                 Expert & Certified Trainers

Overview
  • Get started with the Architecture of SAS Business Analysis, Different interface present in it and also about the integration server.
  • Define the architecture of the platform for SAS Business Analytics
  • Describe the available interfaces
  • Define the change management feature of SAS Data Integration Studio
  • Discuss the DataFlux Integration Server
Creating Metadata For Source And Target Data
  • Administrative tasks that are performed outside of the SAS Data Integration Studio interface are described in SAS Intelligence Platform documentation. In this module, you will learn about how to configure Library Wizard, Register Tables and even how to import and export data.
  • Define administrative tasks to be performed for SAS Data Integration Studio
  • Describe the New Library Wizard
  • Use Register Tables wizard to register source data
  • Use Register Tables wizard to register metadata for a Microsoft
  • Access database table using ODBC
  • Register metadata for a comma-delimited external file
    Import and Export Metadata
Creating Metadata For Target Data And Jobs
  • Learn, what are the features of New Table Wizard, Packages of SAS, Components of Designer Window, how to create metadata for target Data and also how to export and import the relational metadata., and many more.
  • Describe features of the New Tables wizard
  • Discuss SAS packages
  • Discuss importing and exporting of relational metadata
  • Discuss components of SQL Join’s Designer window
  • Investigate mapping and propagation
  • Work with performance statistics
  • Generate reports on metadata for tables and jobs
  • Define Impact and Reverse Impact Analysis
Working With Transformations
  • Different types of transformation, its uses and also about Checkpoint.
  • Discuss and use the Extract and Summary Statistics transformation
  • Discuss and use the Loop transformations
  • Investigate where status handling is available
  • Discuss and use the Data Validation transformation
  • Discuss and use the (Rank, Transpose, Append, List and Sort transformations)
  • Discuss and use the Apply Lookup Standardization transformation
  • Define the Concept of a Checkpoint.
Working With Tables And The Table Loader Transformation
  • This session is  all about Transformations, how to use various keys and Indexes in SAS Data Integration Studio.
  • Discuss reasons to use the Table Loader transformation
  • Discuss various load styles provided by the Table Loader transformation
  • Discuss various types of keys and how to define in SAS Data Integration Studio
  • Discuss indexes and how to define in SAS Data Integration Studio
  • Discuss Table Loader options for keys and indexes
Working With Slowly Changing Dimensions
  • These following content  gives you a brief description about business keys, Surrogate Keys, Different functions of the SCD Type 2 Transformation.
  • List the functions of the SCD Type 2 transformation
  • Define business keys
  • Define surrogate and retained keys
  • Detect and track changes
  • Discuss the Lookup transformation
Defining Generated Transformations
  • Learn, How to create a custom transformation and SAS code transformation templates.
  • Define SAS code transformation templates
  • Create a custom transformation
Deploying Jobs
  • This module focuses on different types of deployment in SAS Integration, Listing the applications to create & execute Stored processes and How to import SAS code.
  • Discuss the types of job deployment available for SAS Data Integration Studio Jobs
  • Provide an overview of the scheduling process, Discuss the types of scheduling servers
  • Discuss the Schedule Manager in SAS Management Console,
  • Discuss batch servers
  • List the applications that can be used to create and execute stored processes
  • Describe deployment of SAS Data Integration Studio jobs as a SAS Stored Process
  • Import SAS code
Who Are The Trainers?
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Microsoft BI Online Training

Enroll for Online MSBI Training with Course Material & Live Tutorial Videos Learn Microsoft Business Intelligence Certification Training, Attend free demo, Spiritsoft is best institute within reasonable fee.

Spiritsofts is the best Training Institutes to expand your skills and knowledge. We Provides the best learning Environment. Obtain all the training by our expert professionals which is having working experience from Top IT companies.

The Training in is every thing we explained based on real time scenarios, it works which we do in companies.

Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.

What is Microsoft BI?

MSBI stands for Microsoft Business Intelligence. MSBI is a powerful suite and is composed of tools which helps in providing best solutions for Business Intelligence and Data Mining Queries. MSBI empower users to gain access to accurate and up-to-date information for better decision making in an organization. This tool uses Visual studio along with SQL server and offers different tools for different processes which are required in Business Intelligence (BI) solutions.

 

SSRSSSASSSISFAQs

SQL Server Reporting Services (SSRS) is a server-based report generating software system from Microsoft. It is part of suite of Microsoft SQL Server services, including SSAS (SQL Server Analysis Services) and SSIS (SQL Server Integration Services).

Administered via a Web interface, it can be used to prepare and deliver a variety of interactive and printed reports. The SSRS service provides an interface into Microsoft Visual Studio so that developers as well as SQL administrators can connect to SQL databases and use SSRS tools to format SQL reports in many complex ways. It also provides a ‘Report Builder’ tool for less technical users to format SQL reports of lesser complexity.

SSRS competes with Crystal Reports and other business intelligence tools.

For SSRS Course Content Click Here

Microsoft SQL Server Analysis Services, SSAS, is an online analytical processing (OLAP), data mining and reporting tool in Microsoft SQL Server. It is purposefully used by the organizations to analyze and make sense of the information which possibly spread out across multiple databases, or in disparate tables.

Analysis Services are considered to be an online analytical data engine used in business analytics, thus providing the analytical data for business reports and client applications such as Power BI, Excel, Reporting Services reports, and other data visualization tools.

SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files.

For SSAS Course Content Click Here

SQL Server Integration Services is a platform for building enterprise-level data integration and data transformations solutions. You use Integration Services to solve complex business problems by copying or downloading files, sending e-mail messages in response to events, updating data warehouses, cleaning and mining data, and managing SQL Server objects and data. The packages can work alone or in concert with other packages to address complex business needs. Integration Services can extract and transform data from a wide variety of sources such as XML data files, flat files, and relational data sources, and then load the data into one or more destinations.

Microsoft Integration Services includes a rich set of built-in tasks and transformations, tools for constructing packages, and the Integration Services service for running and managing packages.

For Course Content  Click Here

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Dell Boomi Training

Spiritsofts offers best Online Dell Boomi Training with most experienced real time professionals. Our Instructors are working in Dell Boomi and related technologies for more years in MNC’s. We aware of industry needs and we are offering Dell Boomi Training Course in more practical way. Our team of Dell Boomi trainers offers Dell Bomi Classroom Training, Dell Boomi Online Training and Dell Boomi Corporate Training services.

Dell Boomi Training Curriculum
Boomi Basic

  • Course Overview and Expectations
  • AtomSphere Overview
  • Activity Introduction
  • FTP and Disk Connectors
  • Atom Overview
  • Document Properties
  • Setting Static and Dynamic Parameters
  • XML Profile Design
  • Mapping
  • Boomi Suggest
  • Setting Defaults
  • Using Functions
  • Branching

Cloud

  • Salesforce Read Connector
  • Salesforce Query Operation
  • Database Write Connector
  • Database Write Operation
  • Mapping
  • Adding additional Salesforce Fields
  • Creating a User Defined Function
  • Using Decision Steps
  • Mail Connectors
  • Message Step
  • Format output to Email
  • SQL Command

Administration

  • Process Backup
  • Process Automation
  • Revision History
  • Atom Management
  • Process Deployment
  • Connection Licensing
  • Process Execution & Reporting Overview
  • Document Handling
  • User Alerts Overview
  • Forced Exception Configuration
  • Custom Error Messaging
  • Configuring Email Alerts
  • Execution Log and Notification Customization
  • User Management Customization
  • Document Tracking & Searching
  • Process Deactivation & Atom Detachment
  • Wrap Up

Data Science Online Training

Enroll for Expert Level Online Data Science Training By Spiritsofts,  Learn Data Science Course  with  certified Experts, Enroll today Demo for free & you will find Spiritsofts is the best Online Training Institute within reasonable fee, updated course material.

Spiritsofts is the best Training Institutes to expand your skills and knowledge. We Provides the best learning Environment.
Obtain all the training by our expert professionals which is having working experience from Top IT companies.

The Training in is every thing we explained based on real time scenarios,it works which we do in companies.

Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.

Key FeaturesCourse ContentFAQs
 45 hours of Instructor Training Classes                            24/7 Support

 Lifetime Access to Recorded Sessions                              Practical Approach

 Real World use cases and Scenarios                                 Expert & Certified Trainers

Introduction To Data Science

This module will introduce you to Data Science throwing light on Why data science?, Analysing Big Data, Architecture and methods to solve Big Data issues, Data visualization etc…

  • Introduction to Big Data
  • Roles played by a Data Scientist
  • Analysing Big Data using Hadoop and R
  • Different Methodologies used for analysis in Data Science
  • The Architecture and Methodologies used to solve the Big Data problems
  • Data Acquisition from various sources
  • Data preparation
  • Data transformation using Map Reduce (RMR)
  • Application of Machine Learning Techniques, Data Visualization etc.,
  • Problem statement of few data science problems which we shall solve during the course
Basic Data Manipulation Using R In Data Science.

This module teaches how to manipulate data and use R for all kinds of data conversion and restructuring processes that are frequently encountered in the initial stages of data analysis in Data Science Training.

  • Understanding vectors in R
  • Reading Data
  • Combining Data
  • Sub-setting data
  • Sorting data and some basic data generation functions
Machine Learning Techniques Using R Part-1

The goal of machine learning is to create a predictive model, that is indistinguishable from a correct model. This module, starts off giving you an overview about machine learning in Data science Training.

  • Machine Learning Overview
  • ML Common Use Cases and techniques
  • Clustering and Similarity Metrics
  • Distance Measure Types: Euclidean, Cosine Measures, Creating predictive models
 Machine Learning Techniques Using R Part-2

This module is designed to teach you ‘K’ means clustering, association rule mining and much more..

  • Understanding K-Means Clustering in Data Science
  • Understanding TF-IDF and Cosine Similarity and their
  • application to Vector Space Model
  • Implementing Association rule mining in R.
Data Science Machine Learning Techniques Using R Part-3

The last part of machine learning module of Data Science course, trains on Decision Tree’s, Random forests concept in Data Science.

  • Understanding Process flow of Supervised Learning Techniques
  • Decision Tree Classifier
  • How to build Decision trees
  • Random Forest Classifier
  • What is Random Forests concept in data science
  • Features of Random Forest
  • Out of Box Error Estimate and Variable Importance
  • Naive Bayes Classifie
Introduction To Hadoop Architecture

Understand the Hadoop architecture, its commands, SQOOP and other data loading techniques in this module.

  • Hadoop Architecture
  • Common Hadoop commands
  • MapReduce and Data loading techniques (Directly in R and in
  • Hadoop using SQOOP, FLUME, and other data Loading Techniques)
  • Removing anomalies from the data
Integrating R With Hadoop

This module of Data science course, will give good knowledge on how R is integrated with R, the integrated programming environment and writing MapReduce jobs.

Integrating R with Hadoop using R
Hadoop and RMR package
Exploring RHIPE (R Hadoop Integrated Programming Environment)
Writing MapReduce Jobs in R and executing them on Hadoop

Data Science Mahout Introduction And Algorithm Implementation

By the end of this module, you will be able to implement machine learning algorithms with Mahout
Implementing Machine Learning Algorithms on larger Data Sets with Apache Mahout

Additional Mahout Algorithms And Parallel Processing Using R

In this module, you will learn how to implement Random Forest Classifier with Parallel Processing Library using R.
Implementation of different Mahout algorithms
Random Forest Classifier with parallel processing Library in R

Project

The aim of the project module is to let you have an idea of what a project is, problem statement, various approaches and solving algorithms.

  • Project Discussion
  • Problem Statement and Analysis
  • Various approaches to solve a Data Science Problem
  • Pros and Cons of different approaches and algorithms
Resume & Interview Questions

Spiritsofts offers advanced Data Science interview questions and answers along with Data Science resume samples.

Who Are The Trainers?
What If I Miss A Class?
How Will I Execute The Practical?
If I Cancel My Enrollment, Will I Get The Refund?
Will I Be Working On A Project?
Are These Classes Conducted Via Live Online Streaming?
Is There Any Offer / Discount I Can Avail?
Who Are Our Customers?

AWS Database OnlineTraining

Enroll  for Expert Level Online AWS Database Training. Learn AWS Database Training Course with certified Experts,
Enroll Today for live demo class, Attend the Demo for free & you will find spiritsofts is the best Online Training Institute within reasonable fee, updated course materiel.
The Training in AWS is every thing we explained based on real time scenarios,it works which we do in companies.

Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.

 

Key FeaturesCourse ContentFAQs
 45 hours of Instructor Training Classes                            24/7 Support

 Lifetime Access to Recorded Sessions                              Practical Approach

 Real World use cases and Scenarios                                 Expert & Certified Trainers

How data matters to a business
  • In today’s technology world, the biggest asset of an organization is classified in the form of “Data” and not the employees or nor a number of profits that the organization is making. The current trend is all about understanding and updating or modifying their existing process to be more productive. So, all of the organizations have started investing a lot on the data to analyze and define the best outcomes.
  • So with the available data, the business can be improved in the following ways:
  • Result prediction or overall decision making has been improved a lot.
  • Updating the policies and procedures according to the real-time data.
  • Build meaningful reports for the executive level teams so that it helps in decision-making.
Simple and advanced strategies available for data migration
  • Using the AWS database migration services actually will simplify the database migrations and all happens under a secure environment. The best part is while database migration, the source database is kept active thus minimizing the downtime where there is minimum impact on real-time users who are using the database.
  • Further to AWS database migration services, we also have AWS schema conversion Tool.
  • Using this tool the data migrations will be executed smoothly and doesn’t give any hiccups for the teams who are utilizing this.
  • Within this tool, including the database schema and the custom code- i.e. including views, all stored procedures and functions are made sure that they are compatible with the target database.
Introduction to database management
  • As we all know that database is an organized form of data collection where it is typically stored on a disk and it is made available to various users based on passing the authentication layer.
  • With the help of Database Management system, one can do the following activities seamlessly
  • Responsible for accessing data
  • Insertion, updations and finally deleting data
  • Security aspects
  • Process of optimizing the information, performance checks
  • The above are few tasks that database management system talks about.
Important factors to consider while migration a database
  • They are several important factors that are needed to be considered while migrating a database, few of them are listed below:
  • Database size and the complexity involved
  • Applications that are using the application
  • All the necessary integrations should be checked
  • Organizational readiness
  • Business acceptance
  • Minimal downtime – This is one of the most important factors out of all the list that we have included here.
Key challenges associated with the process and how to overcome them
  • The above list implies the important factors that we need to consider and at the same time, these are also considered to be key challenges that come with the process.
Database Size and Complexity:
  • When we are talking about the database size and complexity, the following aspects need to be considered:
  • Includes all the schema (i.e. tables, foreign keys, constraints etc)
  • Number of stored procedures that are available
  • Total disk space
  • The volume of activity that is happening on the database.
Application type:
  • If the application is standalone then the risks associated are comparatively less. Unlike, if the application is at enterprise level then we need to check for all of the REST API calls, ETL activities (i.e. Extraction, Transformation and Load concepts). Also, we need to check if the application is using a shared database for its overall activities. All of these should be taken into consideration so that overall application activities are dealt perfectly and have no risks associated.
Organizational readiness and Business acceptance
  • These are more related to approvals and the process standardization issues. Out of which, migrating it to a new database is a huge change and a big risk involved when it comes to DBAs and application development team we need to seek their prior approval so that there is no known risks associated.
Data Security and Data Migration with Minimal Downtime
  • As discussed earlier, the data migration in AWS environment happens in a secure and organized manner. With the help of AWS Data migration services, the database can be migrated into a new environment perfectly and all the tools that are utilized for this are already incorporated. It is an easy and smooth process using these tools.
  • With the help of AWS Schema conversion tool, it is even made easier for teams to deal with data migration activity. With the help of this tool, one doesn’t have to worry about the schema level and all the source level database is perfectly replicated as it is needed.
Who Are The Trainers?
What If I Miss A Class?
How Will I Execute The Practical?
If I Cancel My Enrollment, Will I Get The Refund?
Will I Be Working On A Project?
Are These Classes Conducted Via Live Online Streaming?
Is There Any Offer / Discount I Can Avail?
Who Are Our Customers?