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Big data Training Catalogue

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Xcelframeworks
02/05/2017 0 0

Course: 1 Understanding Fundamentals of Big Data

Duration: 1 Day

Level: Basic

Fundamentals of Big Data

  • Understanding Big Data
  • Big Data Drivers
  • Big Data Use cases
  • Understanding Big Data Dimensions
  • Characteristics of Big Data
  • Big Data Governance

Big Data tools

  • Hadoop a brief Introduction
  • File System (HDFS) A technical Introduction
  • Hadoop Ecosystem
  • Using Data Processing Tools: Pig, Hive,Sqoop and HBase
  • YARN Architecture

Big Data Application Development

  • Big Data patterns
  • Application Development Framework
  • Execution Model
  • Comparing MapReduce and other Frameworks

Using NoSQL for Big Data management

  • Understanding NoSQL
  • Schema-less Model Benefits
  • Data Modelling using Key/Value, Document Driven, Column Oriented and Graph
  • NoSQL Product Comparison

 Big data Analytics

  • Understanding Concept of Analytics
  • Building a POC to implement Big data lake
  • Evaluating Platforms for Big Data Implementation
  • Concept of Data Science and its driving force

Course: 2 Hadoop Fundamentals

Duration: 1 day

Level: Basic

Hadoop Fundamentals

  • Big Data introduction
  • Hadoop in Making: History
  • Hadoop capabilities and Scenarios
  • Building Data Lake using Hadoop
  • Analytical and Operational Big Data Frameworks and Hadoop

Components of Hadoop

  • Understanding Components of File System
  • HDFS: Features and Benefits
  • Cluster management (YARN and MapReduce)
  • Building Hadoop Distribution using Open Source
  • Installing and Configuring Hadoop for Big Data.

Data Ingestion in Hadoop

  • Understanding Data in Motion and data at Rest
  • Basic Copy Data
  • Using Flume
  • Sqoop
  • Fundamentals of Kafka

Application Development in Hadoop

  • Using java/Python to implement MapReduce
  • Working with Pig and Pig Latin
  • Hive and Impala
  • Oozie

Critical Components of Hadoop

  • Zookeeper
  • HBase
  • Lucene and Solr
  • Avro

Course: 3 NoSQL Fundamentals

Duration: 1

Fundamentals of NoSQL

  • NoSQL: why?
  • Overview of NoSQL
  • Characteristics of NoSQL
  • NoSQL storage types
  • Advantages and Drawbacks
  • Comparing NoSQL Products

 

Understanding Storage Architecture

  • Understanding Key/Value stores using Memcached and Redis
  • Document Driven and Column oriented Architectures(MongoDB/Cassandra0
  • Graph Oriented Database
  • Performing CRUD operations
  • Querying NoSQL Stores

Understanding NoSQL Principles

  • Understanding CAP Theorem
  • Understanding BASE and Comparing with ACID
  • Concept of Scalability
  • Indexing and Ordering DataSets(MongoDB)

NoSql Internals

  • MongoDB
  • Membase
  • Apache Cassandra
  • Berkeley DB

Using NoSQL in the Cloud

  • Benefits of Cloud Architectures
  • Working with Google App Engine: Workshop (2 Hours)
  • Amazon SimpleDB:WorkShop(2 hours)
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