Big Data Hadoop Analyst online training course helps you master Big Data Analysis using Hadoop, Pig and Hive. This course will enable an Analyst to work on Big Data and Hadoop which takes into consideration the burgeoning demands of the industry to process and analyze data at high speeds.
How the open source ecosystem of big data tools addresses challenges not met by traditional RDBMSs
Using Apache Hive and Apache Impala to provide SQL access to data
Hive and Impala syntax and data formats, including functions and subqueries
Create, modify, and delete tables, views, and databases; load data; and store results of queries
Create and use partitions and different file formats. Combining two or more datasets using JOIN or UNION, as appropriate
What analytic and windowing functions are, and how to use them. Store and query complex or nested data structures
Process and analyze semi-structured and unstructured data. Techniques for optimizing Hive and Impala queries
Extending the capabilities of Hive and Impala using parameters, custom file formats and SerDes, and external scripts
How to determine whether Hive, Impala, an RDBMS, or a mix of these is best for a given task
Requirements
A basic knowledge in any programming language is beneficial but not necessary.
Description
|| About Big Data Hadoop Analyst Training Course
BIT’s Big Data Hadoop Analyst online training course will enable an Analyst to work on Big Data and Hadoop which takes into consideration the burgeoning demands of the industry to process and analyze data at high speeds. This training course will give you the right skills to deploy various tools and techniques to be a Hadoop Analyst working with Big Data. 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 Hadoop Analyst Professional Program 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
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.
Course Content
Live Lecture
·The Motivation for Hadoop
·Hadoop Overview
·Data Storage: HDFS
·Distributed Data Processing: YARN, MapReduce, and Spark
·Data Processing and Analysis: Pig, Hive, and Impala
·Database Integration: Sqoop
·Other Hadoop Data Tools
·Exercise Scenario Explanation
·Practical Exercise
Live Lecture
·What Is Hive?
·What Is Impala?
·Why Use Hive and Impala?
·Schema and Data Storage
·Comparing Hive and Impala to Traditional Databases
