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Our Big Data, Data Science Master program lets you gain proficiency in Big Data & Data Science. You will work on real world projects in Hadoop development, administration, testing, analyst, HDFS, MapReduce, Hive, Pig, Spark, Storm, Scala, Data analytics, Splunk, NoSQL databases, and more.



What is Big Data, Where does Hadoop fit in, Hadoop Distributed File System – Replications, Block Size, Secondary Namenode, High Availability, Understanding YARN – ResourceManager, NodeManager, Difference between 1.x and 2.x

How Mapreduce Works, How Reducer works, How Driver works, Combiners, Partitioners, Input Formats, Output Formats, Shuffle and Sort, Mapside Joins, Reduce Side Joins, MRUnit, Distributed Cache

Lesson 1:  Continuous Delivery and Process Automation Models of cloud computing
o    Demonstrate an understanding of application lifecycle management:

  •  Application deployment management strategies such as rolling deployments and A/B. 
  •  Version control, testing, build tools and bootstrapping.

o     Demonstrate an understanding of infrastructure configuration and automation.
o    Implement and manage continuous delivery processes using AWS services. 
o    Develop and manage scripts and tools to automate operational tasks using the AWS SDKs, CLI, and APIs.    

Lesson 2: Monitoring, Metrics, and Logging
o    Monitor availability and performance.
o    Monitor and manage billing and cost optimization processes. 
o    Aggregate and analyze infrastructure, OS and application log files. 
o    Use metrics to drive the scalability and health of infrastructure and applications. 
o    Analyze data collected from monitoring systems to discern utilization patterns. 
o    Manage the lifecycle of application and infrastructure logs 
o     Leverage the AWS SDKs, CLIs and APIs for metrics and logging

Lesson 3: Security, Governance, and Validation 
o    Implement and manage Identity and Access Management and security controls. 
o     Implement and manage protection for data in-flight and at rest. 
o    Implement, automate and validate cost controls for AWS resources. 
o    Implement and manage automated network security and auditing. 
o    Apply the appropriate AWS account and billing set-up options based on business requirements. 
o    Implement and manage AWS resource auditing and validation. 
o    Use AWS services to implement IT governance policies.    

Lesson 4: High Availability and Elasticity 
o    Determine appropriate use of multi- Availability Zone versus multi-region architectures. 
o    Implement self-healing application architectures. 
o    Implement the most appropriate front-end scaling architecture. 
o    Implement the most appropriate middle-tier scaling architecture. 
o    Implement the most appropriate data storage scaling architecture
o    Demonstrate an understanding of when to appropriately apply vertical and horizontal scaling concepts.

How Mapreduce Works, How Reducer works, How Driver works, Combiners, Partitioners, Input Formats, Output Formats, Shuffle and Sort, Mapside Joins, Reduce Side Joins, MRUnit, Distributed Cache

Hadoop 2.x Cluster Architecture , Federation and High Availability, A Typical Production Cluster setup , Hadoop Cluster Modes, Common Hadoop Shell Commands, Hadoop 2.x Configuration Files, Cloudera Single node cluster

Hadoop Installation & Setup

Hadoop Installation & Setup

The entire training course content is in line with respective certification program and helps you clear the requisite certification exam with ease and get the best jobs in the top MNCs.

As part of this training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.

Took this course a week ago and I am impressed with the methodology used. Instructor is superb, and video quality is great. The topic explanations are easy-to-understand. Being from PHP background, it was difficult for me to enter into Data Science field, but this course certainly gave the answers to all my problems. Great job Intellipaat!!!

Deepa Jain