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Big Data Science 

Big Data Data Science program will provide you in-depth knowledge on designing, developing and deploying data science and Big data application in real world along with performance tuning of the application. This course will make you Big Data & Data Science Architect and by the end of the course you will have expertise on Hadoop Developer, Administration, testing and analysis Modules, working with real-time analytics, statistical computing, parsing machine-generated data, creating NoSQL applications and finally the domain of deep Learning in artificial intelligence. This program is specially designed by Industry experts and you will get 21 courses with 48 Industry based projects

Big Data Science Training Course Content

Big Data Data Science program will provide you in-depth knowledge on designing, developing and deploying data science and Big data application in real world along with performance tuning of the application. This course will make you Big Data & Data Science Architect and by the end of the course you will have expertise on Hadoop Developer, Administration, testing and analysis Modules, working with real-time analytics, statistical computing, parsing machine-generated data, creating NoSQL applications and finally the domain of deep Learning in artificial intelligence. This program is specially designed by Industry experts and you will get 21 courses with 48 Industry based projects

Who should join this training

- Big Data and Data Science professionals, Software developers

- Business Intelligence professionals, Information architects, Project Managers

- Those looking to make a career in Big Data, Data Science

- There are no prerequisites for taking this training program.

Why This Training


- Global Big Data market to reach $122B in revenue by 2025 - Frost & Sullivan

- The US alone could face a shortage of 1.4 -1.9 million Big Data Analysts by 2018 - Mckinsey

This Intellipaat training program has been created keeping in mind the needs of the industry. You will gain mastery in the complete domain of Data Science, Hadoop ecosystem to take on various roles and responsibilities. So you will be better prepared to take on challenging roles in the Big Data and Data Science domains at top-notch salaries.


All-Inclusive: After-Course Coaching for Real-World Application:

Learning is with you from the beginning of your planning until you return to your job ready to apply your new skills - with instructor coaching to answer real-world big data implementation challenges.
Take Your Big Data Course Online or In-person:
Schedules are busy, but big data training online makes it easy to level-up your career. If you need Big Data online training, we've got you covered. Our AnyWare course delivery option gives you the advantages of a live classroom right from the comfort of your computer screen - no matter where you are.
You will learn
" Explore the evolution of data science and predictive analytics.
" Know statistical concepts and techniques including regression, correlation and clustering.
" Apply data management systems and technologies that reflect concern for security and privacy.
" Adopt techniques and technologies including data mining, neural network mapping and machine learning.
" Represent big data findings visually to aid decision-makers.
===== Introduction to Big Data =====
Defining Big Data
" The four dimensions of Big Data: volume, velocity, variety, veracity
" Introducing the Storage, MapReduce and Query Stack
Delivering business benefit from Big Data
" Establishing the business importance of Big Data
" Addressing the challenge of extracting useful data
" Integrating Big Data with traditional data
Storing Big Data
Analyzing your data characteristics
" Selecting data sources for analysis
" Eliminating redundant data
" Establishing the role of NoSQL
Overview of Big Data stores
" Data models: key value, graph, document, column-family
" Hadoop Distributed File System
" HBase
" Hive
" Cassandra
" Hypertable
" Amazon S3
" BigTable
" DynamoDB
" MongoDB
" Redis
" Riak
" Neo4J
Selecting Big Data stores
" Choosing the correct data stores based on your data characteristics
" Moving code to data
" Implementing polyglot data store solutions
" Aligning business goals to the appropriate data store
Processing Big Data
Integrating disparate data stores
" Mapping data to the programming framework
" Connecting and extracting data from storage
" Transforming data for processing
" Subdividing data in preparation for Hadoop MapReduce
Employing Hadoop MapReduce
" Creating the components of Hadoop MapReduce jobs
" Distributing data processing across server farms
" Executing Hadoop MapReduce jobs
" Monitoring the progress of job flows
The building blocks of Hadoop MapReduce
" Distinguishing Hadoop daemons
" Investigating the Hadoop Distributed File System
" Selecting appropriate execution modes: local, pseudo-distributed and fully distributed
Handling streaming data
" Comparing real-time processing models
" Leveraging Storm to extract live events
" Lightning-fast processing with Spark and Shark
===== Tools and Techniques to Analyze Big Data =====
Abstracting Hadoop MapReduce jobs with Pig
" Communicating with Hadoop in Pig Latin
" Executing commands using the Grunt Shell
" Streamlining high-level processing
Performing ad hoc Big Data querying with Hive
" Persisting data in the Hive MegaStore
" Performing queries with HiveQL
" Investigating Hive file formats
Creating business value from extracted data
" Mining data with Mahout
" Visualizing processed results with reporting tools
" Querying in real time with Impala
Developing a Big Data Strategy
Defining a Big Data strategy for your organization
" Establishing your Big Data needs
" Meeting business goals with timely data
" Evaluating commercial Big Data tools
" Managing organizational expectations
Enabling analytic innovation
" Focusing on business importance
" Framing the problem
" Selecting the correct tools
" Achieving timely results
Implementing a Big Data Solution
" Selecting suitable vendors and hosting options
" Balancing costs against business value
" Keeping ahead of the curve