Start working on AWS Service for Big data solutions: Big Data Technology Fundamentals Training and Certification

Big data refers to the efficient usage of the collection of data sets that are vast and complex. These complex and large data cannot be processed using on-hand database management tools or traditional data processing applications. Data processing will not be able to handle such data, and the need for different architecture and algorithms to process and store massive data arises. Handling of such data is possible by using automatic generation concept of Big Data.

Big Data delivers complete information about the online users belonging to any business and provides a significant profit. Big Data is very popular for data processing and management. Hadoop is a technology framework. Hadoop serves as a gateway for enabling easy working of Big data or for working with large data sets that are available in the distributed environment.  Big data handles an enormous amount of data which requires relational databases for processing while Hadoop helps overcome the RDBMS limitations and makes the process of managing large data easier.

Big Data Technology Fundamentals Certification lets you gain knowledge of the technologies used in the big data solutions. This training covers the big data solutions using the Hadoop ecosystem including the MapReduce, HDFS, the Pig and the Hive programming frameworks.

By the end of this training, you will be able to understand the concepts of Big data solutions using Hive and Pig programming and learn to work with AWS services for big data solutions.

Big Data Technology Fundamentals on AWS Training Goals:

In this training, you will learn about the concepts of Big data, design and implement AWS services for Big data solutions. Amazon Web Services (AWS) provides reliable, flexible, and cost-effective computing services in the Cloud.

Big Data serves as a real asset for any organization. Big data allows customizing based on past data and generates solutions for potential problems. Big data acts as a game changer for any business.  With new tools and new big data technologies, it is easier to collect and store large sets of data and analyze them.

Big Data Technology Fundamentals on AWS Training Overview:

The Big Data Technology fundamentals on AWS training helps you develop, test and deploy your big data solutions using AWS network with reliability and speed. This training teaches you to recognize the advantages of Big data and benefits of using them on AWS.

What will I learn at Big Data Technology Fundamentals on AWS training courses:

•  Understand and identify the tools and technologies for creating big data solutions
• Learn the MapReduce programming framework along with map, sort, shuffle and reduce components
• Gain knowledge in using Hive programming framework to identify available options for building a big data solution

Why get this Big Data Technology Fundamentals on AWS certification?

Enroll in this Big Data Technology Fundamentals on AWS certification course to gain knowledge of Big data solutions, supported programming languages, and their benefits in the real world and become part of the exciting career opportunities available in the market for AWS certified professionals.

The entire technology is moving to AWS and Big data. Now Big Data and AWS are a great demand in the market.  The rapidly increasing requirement for work increases the job opportunities in several industries.  Enroll in this training to grab those opportunities and gain a real career growth.

Prerequisite for Big Data Technology Fundamentals on AWS Training:

• Working knowledge with programming languages such as Java or C#
• Basic awareness of Big data

Audience for Big Data Technology Fundamentals on AWS Training

• Enterprise Solutions Architects
• Big Data Solutions Architects
• Data Scientists
• Data Analysts
• Anyone interested in learning Big Data concepts

Big Data Technology Fundamentals on AWS Learning Information:

• Live/Virtual Training in the presence of online instructors  
• Quick look at Course Details, Contents, and Demo Videos
• Quality Training Manuals for easy understanding
• Anytime access to Reference materials
• Gain your Course Completion Certificate on the Topic
• Guaranteed high pay jobs after completing certification

Big Data Technology Fundamentals on AWS Training Curriculum:

Lesson 1:  Introduction to Big Data

This lesson introduces the basics of Big Data and Hadoop ecosystem. Big Data Analysis represents the analysis of data, where the data is massive in size(volume), variety, and generated at high velocity. This data can be structured and unstructured.

• Importance of Big Data
• About the Hadoop Ecosystem
• Big Data Characteristics
• Big Data Processing
• Tools and Techniques for Analyzing Big Data
• Implementing Big Data Solutions

Lesson 2: Introduction to Hadoop and MapReduce

Hadoop is an open source infrastructure for working efficiently with Big data concepts. Hadoop allows you to access data that occurs distributed among clustered computers, process the data and manage the resources across the clustered computers.

Hadoop has a framework, which is made up of core modules such as Hadoop Distributed File System (HDFS), and Hadoop MapReduce.

• About Hadoop Architecture
• Overview of MapReduce Framework
• Introduction to MapReduce Programming
• About MapReduce and HDFS/S3

Lesson 3: Data Analysis Using Pig Programming

This session teaches you about Pig programming. Pig supports an engine for executing data flows in parallel on Hadoop. Pig Latin is the language used for expressing the data flows. Pig Latin includes operators for many of the traditional data operations and supports the ability for users to develop their functions for reading, processing, and writing data. Pig runs on Hadoop. Pig makes use of both the Hadoop Distributed File System, HDFS, and Hadoop’s processing system, MapReduce.

• Introduction to Pig
• Pig Data Types
• Representing Data in Pig
• Running Pig
• Handling user defined Functions
• Differences between Pig and Traditional RDBMSs
• Advanced Techniques in Pig  

Lesson 4: About Big Data Querying using Hive

This lesson explains the benefits of using Hive for Big data query process. Hive offers easy data summarization, querying, and analysis of large volumes of data. Hive provides a simple query language known as Hive QL that is based on SQL and allows you to perform ad-hoc querying, summarization and data analysis efficiently.

• Introduction to Hive
• Representing Data in Hive
• Hive Data Types
• Probing Data with Hive Queries
• Hive and AWS