Intellipaat MSBI training in San Jose is a complete training for learning the tools SSIS, SSRS, and SSAS. You will master the techniques of data analysis, integration, creating reports and dashboards, and deriving compelling Business insights from data. Get the leading online MSBI course in San Jose from MSBI certified instructors.
Intellipaat MSBI training in San Jose, California, is an industry-designed training for learning the MSBI stack that includes in-depth understanding of the data warehousing concepts, working with ETL solutions and data visualization, and more through real-world projects.
Anybody can take up this online training course and get trained in MSBI.
San Jose in California is offering huge MSBI job opportunities due to the increased deployment of this tool in the city. Most of the enterprises in this city are tech enterprises thanks to its presence in the Silicon Valley area of the United States of America. For trained and certified professionals in the domain of MSBI, this is a very good opportunity. By obtaining a Microsoft BI certification in San Jose,you can increase your chances of getting hired.
The market in MSBI for the city of San Jose is very exciting. Most of the industries in the San Jose area of California have heavily invested in this top Business Intelligence tool. Getting the right training and certification in this domain can help you make the best of this growing market trend in San Jose for MSBI.
Microsoft Business Intelligence consists of the SQL Server analysis, integration, and reporting tools. If you have proficiency in all these three tools, then you can take up jobs which are offering some of the best salaries in the Business Intelligence and Analytics domain. Intellipaat offers a comprehensive MSBI Course in San Jose that includes the tools SSIS, SSAS, and SSRS giving you complete proficiency in MSBI for landing in your dream job.
Introduction to Business Intelligence, understanding the concept of Data Modeling, Data Cleaning, learning about Data Analysis, Data Representation, Data Transformation.
Introduction to ETL, the various steps involved Extract, Transform, Load, using a user’s email ID to read a flat file, extracting the User ID from email ID, loading the data into a database table.
Introduction to Connection Managers – logical representation of a connection, the various types of Connection Managers – Flat file, database, understanding how to load faster with OLE DB, comparing the performance of OLE DB and ADO.net, learning about Bulk Insert, working with Excel Connection Managers and identifying the problems.
Learning what is Data Transformation, converting data from one format to another, understanding the concepts of Character Map, Data Column and Copy Column Transformation, import and export column transformation, script and OLEDB Command Transformation, understanding row sampling, aggregate and sort transformation, percentage and row sampling.
Understanding Pivot and UnPivot Transformation, understanding Audit and Row Count Transformation, working with Split and Join Transformation, studying Lookup and Cache Transformation, Integrating with Azure Analysis Services, elastic nature of MSBI to integrate with the Azure cloud service, scale out deployment option for MSBI, working with cloud-borne data sources and query analysis. Scaling out the SSIS package, deploying for tighter windows, working with larger amount of data sources, SQL Server vNext for enhancing SQL Server features, more choice of development languages and data types both on-premise and in the cloud.
Understanding data that slowly changes over time, learning the process of how new data is written over old data, best practices.Detail explanation of three types of SCDs –Type1, Type2 and Type3, and their differences.
Understanding how Fuzzy Lookup Transformation varies from Lookup Transformation, the concept of Fuzzy matching
Learning about error rows configuration, package logging, defining package configuration, understanding constraints and event handlers.
Get introduced to the SSRS Architecture, components of SSRS Report Building tool, learning about the data flow in different components.
Understanding the concepts of Matrix and Tablix, working with Text Box, learning about formatting, row/column grouping, understanding sorting, formatting, concepts of Header, Footer, Totals, Subtotals and Page Breaks.
Learning about Parameters, filter and visibility expression, understanding drill-through and drill-down, defining variables, custom code.
Introduction to various aspects of Bar Chart, Line Chart, Combination Chart, Shape Chart, Sub Reports,Integration of Power Query and M language with SSRS, working with additional data sources in MSBI, rich transformation capabilities addition to MSBI, reusing M functions build for PBIX in SSRS.
Learn how to build a Dashboard with Sparklines, Data Bars, Map Charts, Gauge Charts and drilling into reports, the basics of ad hoc reporting.
Data Bar, Sparkline, Indicator, Gauge Chart, Map Chart, Report Drilling, What is Ad hoc reporting?
Understanding Report Cache, Authorization, Authentication and Report Snapshot, learning about Subscriptions and Site Security.
Understanding the concept of multidimensional analysis, understanding SSAS Architecture and benefits, learn what is Cube, working with Tables and OLAP databases, understanding the concept of Data Sources, working with Dimension Wizard, understanding Dimension Structure, Attribute Relationships, flexible and rigid relationship.
Learning about Process Dimension, the Process database, creation of Cube, understanding Cube Structure, Cube browsing, defining the various categories, Product Key and Customer Key, Column Naming, processing and deploying a Cube, Report creation with a Cube.
Hands-on Exercise – Create a Cube and name various columns Deploy a cube after applying keys and other rules Create reports with a cube
Understanding Data Dimensions and its importance, the various relationships, regular, referenced, many to many, fact, working on Data Partitions, and Data Aggregations.
Learning about SSAS Cube, the various types of Cubes, the scope of Cube and comparison with Data Warehouse.
The various operations on Cube, the limitations of OLAP Cubes, the architecture of in-memory analytics and its advantages.
Deploying cube with existing data warehouse capabilities to get self-service business intelligence, understanding how in-memory analytics works.
Hands-on Exercise – Deploy cube to get self-service business intelligence
Logical model of the schema used by the Cube, components of Cube, understanding Named Queries and Relationships.
An overview of the Dimensions concept, describing the Attributes and Attributes Hierarchies, understanding Key/Value Pairs, Metadata Reload, logical keys and role-based dimensions.
Hands-on Exercise – Create role based dimensions, Use Attributes Hierarchies
Understanding the Measure of Cube, analyzing the Measure, exploring the relationship between Measure and Measure Group, Cube features and Dimension usage.
Working with Cube Measures, deploying analytics, understanding the Key Performance Indicators, deploying actions and drill-through actions on data, working on data partitions, aggregations, translations and perspectives.
Hands-on Exercise – Work with Cube Measures, Deploy analytics, Deploy actions and drill-through actions on data, Make data partitions
Understanding Multidimensional Expressions language, working with MDX queries for data retrieval, working with Clause, Set, Tuple, Filter condition in MDX.
Hands-on Exercise – Apply Clause, Set and filter condition in MDX query to retrieve data
Learning about MDX hierarchies, the functions used in MDX, Ancestor, Ascendant and Descendant function, performing data ordering
Hands-on Exercise – Create MDX hierarchies, Perform data ordering in ascending order, in descending order
Data Analysis Expressions (DAX), Using the EVALUATE and CALCULATE functions, filter DAX queries, create calculated measures, perform data analysis by using DAX
Hands-on Exercise – Use the EVALUATE and CALCULATE functions, filter DAX queries, create calculated measures, perform data analysis by using DAX
Designing and publishing a tabular data model, Designing measures relationships, hierarchies, partitions, perspectives, and calculated columns
Hands-on Exercise – Design and publish a tabular data model, Design measures relationships, hierarchies, partitions, perspectives, and calculated columns
Configuring and maintaining SQL Server Analysis Services (SSAS), Non-Union Memory Architecture (NUMA), Monitoring and optimizing performance, SSAS Tabular model with vNext, Excel portability, importing model from Power BI Desktop, importing a Power Pivot model, bidirectional cross-filtering relationship in MSBI.
Hands-on Exercise – Configure and maintain SQL Server Analysis Services (SSAS), Monitor and optimize performance
Reading data with R Server from SAS, txt, or excel formats, converting data to XDF format; Summarizing data, rxCrossTabs versus rxCube, extracting quantiles by using rxQuantile; Visualizing data (rxSummary and rxCube, rxHistogram and rxLinePlot) Processing data with rxDataStep Performing transforms using functions transformVars and transformEnvir Processing text using RML packages Building predictive models with ScaleR Performing in-database analytics by using SQL Server
Hands-on Exercise – Read data with R Server from SAS, txt or excel formats, convert data to XDF format; Summarize data, Extract quantiles by using rxQuantile; Visualize data (rxSummary, rxCube, rxHistogram and rxLinePlot) Perform transforms using functions transformVars and transformEnvir Build predictive models with ScaleR Perform in-database analytics by using SQL Server
Analyzing Data with SQL Server Reporting Services
Free Career Counselling
In this MSBI project, you will be creating data flow tasks in SSIS, creating SSAS Cubes, creating an SSRS Report.
Project 1: SSIS
Problem Statement: Create a data flow task to extract data from the XLS format and store it into the SQL database, store the subcategory and category-wise sales in a table of the database. Once you get the output, split the dataset into two other tables. Table 1 should contain three columns (Sales < 100,000), Category, and Subcategory. Table 2 should contain (Sales > 100,000), Subcategory, and Category columns. Also, the Sales column should be sorted in both tables. Divide the whole dataset into a ratio of 70:30 percent and store the results in two different tables in the database
Topics: Data Flow, ODBC Set up and Connection Manager, Flat File Connection, Transformation, Import Export Transformation, Split and Join Transformation, Merge and Union All Transformation
Project 2: SSRS:
Problem Statement: In the United States, there are many stores in which a survey was conducted based on students. By using data set (Student Survey), try to extract meaningful Insights by creating an SSRS Report to show Tabular Visualization, Matrix Visualization, Funnel chart, Pie chart, Scatter plot, Drill-down.
Topics: Report Creation, Deployment, Concepts of Reporting Services, Tablix and Matrix, Expression and Parameters, Charts & Reports
Project 3: SSAS:
Problem Statement: Using Adventure Works DW 2014 database, Build a Cube to show the number of products there for each color, total Sales Amount for each currency, Count of products there for each product name. Create a reference relationship between the Product category table and subcategory table hence show how many subcategories are there for each category. Build the partitions for sales amount <= 700 and sales amount > 700. Make the aggregations and stop when performance gain reaches 40%. Build a perspective (Subset of the above cube) with limited measures and Dimension fields.
Topics: Dimensions, Data Dimensions & Cubes, Aggregations, Measures & features of Cube, SSAS Perspectives
Case Study 1: SSIS
Problem Statement: Create the connection of OLDB & load the data in SQL Server from excel; Create transformation where you have to split the people’s age group; How to create constants and events in package; Create a project level and package parameter at the package level; How to extract the data in an Incremental Order;
Topics: Data Flow, ODBC Set up and Connection Manager, Transformation, Split & Join Transformation, Term Extraction and Lookup
Case Study 2: SSRS
Problem Statement: Steps to add a correlated column chart; how to create a report server project; Use of Data Connections, Performance point Content library; Steps to create drill-down charts; How to pass the parameter from the main chart to detail chart (pie); Functions of Data bars and Sparklines; Usage of KPI box in SSRS Dashboard;
Topics: Concepts of Reporting Services, Report Creation, Expression and Parameters, Report and Authentication, Deployment
Case Study 3: SSAS
Problem Statement: Knowledge check on data mart, measures, dimension, cube, KPI’s, perspectives in SSIS
Topics: Dimensions, Data Dimensions & Cubes, Measures & features of Cube, SSAS Perspectives
This course is designed for clearing the MCSE: Business Intelligence Certification exam. You will also receive the course completion certificate from Microsoft for Analyzing Data with SQL Server Reporting Services.
As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly.
At the end of this training program, there will be quizzes that perfectly reflect the type of questions asked in the certification exam and help you score better.
Intellipaat Course Completion Certificate will be awarded upon the completion of the project work (after the expert review) and upon scoring at least 60% marks in the quiz. Intellipaat certification is well recognized in top MNCs like Ericsson, Cisco, Cognizant, Sony, Wipro, Standard Chartered, TCS, Genpact, Tata Communication, etc.
Our Alumni works at top 3000+ companies
This training provides you all skills needed to work with the Microsoft Business Intelligence stack. MSBI is a powerful suite of tools offering powerful data mining queries and BI capabilities through Visual Studio deployment with SQL Server. This entire course content is in line with the requirements for clearing the MCSE: Business Intelligence Certification exam.
You will be working on real-time MSBI projects and step-by-step assignments that have high relevance in the corporate world, and the course curriculum is designed by industry experts. Upon the completion of the training course, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support, and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.
You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.
Intellipaat offers self-paced training to those who want to learn at their own pace. This training also gives you the benefits of query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for a lifetime. Also, you get the latest version of the course material at no added cost.
Intellipaat’s self-paced training is 75 percent lesser priced compared to the online instructor-led training. If you face any problems while learning, we can always arrange a virtual live class with the trainers as well.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.