Big Data Analyst Training

5216 Learners

Big Data Analyst offers a wide range of scope for the job seekers, data analytics is considered as a backbone of the company, thus, the employees handling the related department should have working knowledge on SQL or basic LINUX commands, the database, SQL, and query language for databases. The Big Data Analyst Training insights on installing, updating and maintaining MongoDB environment. Make them understand Data Volume, Data Evolution, Velocity of Data, MapReduce and the procedure of developing distributed processing of large data sets across clusters of computers and administering Hadoop.

After completing the Big Data Analyst Certification, the candidates would be able to:

Perform data management and text processing using Hive
Understand the comparative study of MapReduce, Pig, Hive, Impala, and Relational Databases
Develop expertise on the basic concepts of Apache Storm and its architecture.
Demonstrate what is Grouping & Data Insertion in Apache Storm?
How to develop the skill sets that help in processing a huge amount of data by using MongoDB tools?
Develop an understanding on Resilient Distributed Dataset and DataFrames

Target audience

Analytics professionals
Data Scientists
IT developers and testers
Project Managers
Research professionals
The software developers, who indulge in processing large amounts of data

Prerequisites

The candidates should have working knowledge of SQL or basic LINUX commands, database and SQL.

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After completing the Big Data Analyst Certification, the candidates would be able to:

Perform data management and text processing using Hive
Understand the comparative study of MapReduce, Pig, Hive, Impala, and Relational Databases
Develop expertise on the basic concepts of Apache Storm and its architecture.
Demonstrate what is Grouping & Data Insertion in Apache Storm?
How to develop the skill sets that help in processing a huge amount of data by using MongoDB tools?
Develop an understanding on Resilient Distributed Dataset and DataFrames

Target audience

Analytics professionals
Data Scientists
IT developers and testers
Project Managers
Research professionals
The software developers, who indulge in processing large amounts of data

Prerequisites

The candidates should have working knowledge of SQL or basic LINUX commands, database and SQL.

1. Hadoop Data Analytics

Introduction
Hadoop Fundamentals
Introduction to Pig
Basic Data Analysis with Pig
Processing Complex Data with Pig
Multi-Dataset Operations with Pig
Extending Pig
Pig Troubleshooting and Optimization
Introduction to Hive
Relational Data Analysis with Hive
Hive Data Management
Text Processing with Hive
Hive Optimization
Extending Hive
Introduction to Impala
Analyzing Data with Impala
Choosing the Best Tool for the Job

2. Apache Spark

An Introduction to Spark
About Resilient Distributed Dataset and DataFrames
The Spark application programming
An Introduction to Spark libraries
About Spark configuration, monitoring and tuning

3. Apache Storm

Big Data Overview
Introduction to Storm
Installation and Configuration
Storm Advanced Concepts
Storm Interfaces
Storm Trident

4. MongoDB

Design Goals, Architecture and Installation
CRUD Operations
Schema Design and Data Modelling
Administration
Scalability and Availability
Indexing and Aggregation Framework
Application Engineering and MongoDB Tools
Project, Additional Concepts and Case Studies

5. Cassandra

Introduction to Cassandra Enterprise
Cassandra Enterprise Operations and Performance Tuning
Cassandra Enterprise Search with Apache Solr
Cassandra Core Concepts
Data Modeling with Cassandra Enterprise
Cassandra Enterprise Analytics with Apache Spark

Note: to know about the detailed information about the course modules please feel free to write us or give us a buzz.

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Big Data Analyst Training Course Certificate

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Big Data Analyst Corporate Training & Certification Program

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