Big Data

Instructor: Suneel Kumar
Lectures: 11
Quizzes: 3
Students: 4
Duration: 10 weeks

Welcome to AppsTek’s Big Data Specialization! We are excited and looking forward to learning about you. Big Data requires new programming frameworks and systems. For this course, we don’t need programming knowledge or experience, but we do want to clear the foundation of some of the key concepts.

A good data analyst is one who turns data into relevant information, information into useful insights and insight into a business decision. Big data is data that contains greater variety, arriving in increasing volumes and with ever-higher velocity.

Around 2005, people began to realize just how much data users generated through Facebook, YouTube, and other online services. Hadoop was developed that same year. The development of open-source frameworks, such as Hadoop (and more recently, Spark) was essential for the growth of big data because they make big data easier to work with and cheaper to store.

Program Curriculum

Understanding Big Data and Hadoop/Brief history of Hadoop
Hadoop Architecture and HDFS
Hadoop MapReduce Framework
Advanced MapReduce
Pig, Hive, Advanced Hive
Data form databases with Sqoop
Introduction to HBase & exploring master and region servers in HBase
Processing Distributed Data with Apache Spark
Streaming on Kafka
Security components in Hadoop
Live use cases hands on Hadoop Project

Overview 0/2

In this section we'll show you how this course has been structured and how to get the most out of it. We'll also show you how to solve the exercises and submit quizzes.
- Lecture 1.1
  
  Introduction to Programming – Part 5
  Preview
  
  30m
- Lecture 1.2
  
  Installation and Set-Up – Part 5
  Preview
  
  5m
Basics 0/7

In this section you'll learn some basic concepts of programming languages and how to use them. You'll also learn how to write clean code using different code editors and tools.
Advanced 0/4

In this section you'll learn some core concepts of Object Oriented Programming. You'll also learn how to structure the data, debug and handling exceptions.
Conclusion 0/1

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- Lecture 4.1
  
  Errors and Exceptions – Part 5
  
  45m

Suneel Kumar

Big Data Expert

Suneel Kumar is an experienced Big data solution architect and has 13 + years of experience in Information Technology including more than 8years in Hadoop. He has been involved in planning, Analysis, Design, Development, Maintenance and Documentation for various functionalities of Data Warehouses and Data Marts as well Bigdata. Excels at identifying and implementing cost-effective solutions. Lifelong learner, taking pride in staying at the cutting edge of technical know-how on cloud stack.