Big Data and Hadoop

In a world where data is fueling the growth of organizations, it won’t be wrong to assume that companies ingest raw data in large volumes from numerous sources. But, how can they identify the data which is both useful and insightful? This is where Big Data comes to play. Hadoop is an open-source framework that is used to process Big Data. The average salary of a Big Data analyst in the US is around $61,000.

Watch this video on Big Data Hadoop before going further with this Hadoop tutorial:

Big Data and Hadoop Tutorial – Learn Big Data and Hadoop from Experts

Big Data and Hadoop Tutorial covers Introduction to Big Data,Overview of Apache Hadoop,The Intended Audience and Prerequisites, The Ultimate Goal of this Tutorial, The Challenges at Scale and the Scope of Hadoop, Comparison to Existing Database Technologies,The Hadoop Architecture & Module, Introduction to Hadoop Distributed File System, Hadoop Multi Node Clusters, HDFS Installation and Shell Commands, Hadoop MapReduce – Key Features & Highlights, Hadoop YARN Technology, Introduction to Pig, Sqoop and Hive.

Some of the exciting facts about Big Data are as follows:

This clearly specifies the kind of potential the field of Big Data has. After learning these facts you must be curious to know about Big Data. Let’s now check out the applications of Big Data briefly.

AreasBig Data applications
Targeting customersBig Data helps understanding customers and target them in a personalized fashion.
Science and ResearchBig Data helps make machines smarter. For example, Google’s self-driving cars
SecurityBig Data is used to keep track of the terrorists and anti-national agencies
FinanceBig Data algorithms are used to analyze market and trading opportunities

Big Data and Hadoop Tutorial Video:

Big Data and Hadoop Tutorial – Learn Big Data and Hadoop from Experts

After reading this tutorial, you as an individual will have enough working knowledge and proficiency in the following:

The ultimate goal of this Tutorial is to help you become a professional in the field of Big Data and Hadoop and ensuring you have enough skills to work in an industrial environment and solve real-world problems to come up with solutions that make a difference to this world.

Frequently Asked Questions

What is Hadoop for Big Data?

Hadoop is an open-source distributed processing framework that is used to manage data processing and storage for big data applications in clustered systems.

What is Big Data and why is Big Data?

Big Data is defined as a term that describes huge volumes of data (both structured and unstructured) which is ingested by businesses on a daily basis. Organizations can analyze Big Data to collect valuable insights for improving decision making and strategizing business ventures.

Organizations can enable cost and time-to-market reductions, product development, and optimized offering by performing required operations on Big Data. When combined with high-powered analytics, Big Data can help:

  • Identify the root causes of failure in near real-time.
  • Understand customer buying-habits for revamping sales operations
  • Re-evaluate risk portfolios
  • Detect fraudulent behavior for avoiding disasters

What should I learn for Big Data?

For gaining expertise in Big Data, you need to have a basic understanding of UNIX, SQL, and JAVA (or any OOP language). With elementary proficiency in these fields, you will be able to learn Big Data comprehensively.

Is Big Data in demand?

As one of the most in-demand technologies today, Big Data is being adopted at scale by numerous organizations across all verticals. The demand for Big Data specialists has increased in multi-folds since the last decade.

Is Big Data a good career?

Any professional with Big Data Analytics skills prove to be of great value for any data-driven company. Data is rising at an exponential rate, and at this point of time it has become extremely necessary for companies to analyze the raw data that they ingest. Therefore, most companies are willing to hire Big Data specialists. Hence, Big Data is a great career option as of now.

Where can I learn Big Data for free?

This tutorial will serve the purpose if you want to learn the concepts of Big Data from scratch. Also, you can always refer to our free and comprehensive Big Data Hadoop video tutorial on YouTube.

However, if you want to learn Big Data from industry experts, you can enroll in Intellipaat’s Big Data Course.

Does Big Data require coding?

An efficient Big Data Analyst is required to code for conducting numerical and statistical analysis around huge data sets. Therefore, it becomes a mandate for Big Data Analysts to have serious coding skills in their arsenal. Big Data coding revolves around Python, R, Java, and C++ mostly.

Which course is best for Big Data?

Curated by industry experts, Intellipaat’s Big Data training course is a beginner’s guide for learning Big Data in a definitive manner. Rated as the best by numerous learners, our Big Data course is mentored by experienced instructors and features several hands-on assignments and industry-relevant projects. This ensures that all of our learners become industry-ready after completing the training.

Table of Contents

Introduction to Big Data

What is Big Data?: The term Big Data refers to all the data that is being generated across the globe at an unprecedented rate. This data could be either structured or unstructured. Today’s business enterprises owe a huge part of their success to an economy that is firmly knowledge-oriented. Data drives the modern organizations of the world and hence making Read More

Overview of Apache Hadoop

What is Apache Hadoop?: Apache Hadoop is a Big Data framework that is part of the Apache Software Foundation. Hadoop is an open source software project that is extensively used by some of the biggest organizations in the world for distributed storage and processing of data on a level that is just enormous in terms of volume. That’s the reason Read More

The Intended Audience and Prerequisites

Recommended Audience: Big Data and analytics are some of the most envied jobs of our generation. The simple reason for this being today there is an urgent need for Big Data and Hadoop professionals regardless of the organization’s industry segmentation or vertical. So this Tutorial is intended towards those individuals who are awed by the sheer might of Big Data Read More

The Data Challenges at Scale and The Scope Of Hadoop

The challenges of Big Data: Big Data by its very nature is hugely challenging to work with. But the rewards of making sense of Big Data is hugely rewarding too. All Big Data can be categorized into: Structured –that which can be stored in rows and columns like relational data sets Unstructured – data that cannot be stored in rows Read More

Comparison To Existing Database Technologies

Apache Hadoop vs other Database technologies: Most database management systems are not up to scratch for operating at such lofty levels of Big data exigencies either due to the sheer technical inefficiency or the insurmountable financial challenges posed. When the type of data is totally unstructured, the volume of data is humongous, the results needed are at breakneck speeds, then Read More

The Hadoop Module & High-level Architecture

The Apache Hadoop Module:: Hadoop Common: this includes the common utilities that support the other Hadoop modules HDFS: The Hadoop Distributed File System provides unrestricted, high-speed access to the application data. Hadoop YARN: This technology accomplishes the scheduling of jobs and efficient management of the cluster resource. MapReduce: A highly efficient methodology for parallel processing of huge volumes of data. Read More

Introduction To Hadoop Distributed File System

HDFS and its Architecture: Hadoop stores petabytes of data using the HDFS technology. Using HDFS it is possible to connect commodity hardware or personal computers, also known as nodes in Hadoop parlance. These nodes are connected over a cluster on which the data files are stored in a distributed manner. Using the power of HDFS the whole cluster and the Read More

Hadoop Multi Node Clusters

Setting up Hadoop Multi-Node Cluster: Installing Java Syntax of java version command $ java -version  Following output is presented. java version "1.7.0_71"  Java(TM) SE Runtime Environment (build 1.7.0_71-b13) Java HotSpot(TM) Client VM (build 25.0-b02, mixed mode)   Creating User Account System user account on both master and slave systems should be created to use the Hadoop installation. # useradd hadoop  Read More

HDFS Installation and Shell Commands

: Setting up of the Hadoop cluster: Here you will learn how to successfully install Hadoop and configure the clusters which could range from just a couple of nodes to even tens of thousands over huge clusters. So for that, first you need to install Hadoop on a single machine. The requirement for that is you need to install Java if Read More

Hadoop MapReduce – Key Features & Highlights

The highlights of Hadoop MapReduce: MapReduce is the framework that is used for processing large amounts of data on commodity hardware on a cluster ecosystem. The MapReduce is a powerful method of processing data when there are very huge amounts of node connected to the cluster. The two important tasks of the MapReduce algorithm are, as the name suggests – Read More

Hadoop YARN Technology

What is Hadoop Yarn?: The Apache Hadoop YARN stands for Yet Another Resource Negotiator. It is a very efficient technology to manage the Hadoop cluster. YARN is a part of Hadoop 2 version under the aegis of the Apache Software Foundation. YARN is a completely new way of processing data and is now rightly at the centre of The Hadoop Read More

Introduction to Pig, Sqoop, and Hive

: Apache Pig The Apache Pig is a platform for managing large sets of data which consists of high-level programming to analyze the data. Pig also consists of the infrastructure to evaluate the programs. The advantages of Pig programming is that it can easily handle parallel processes for managing very large amounts of data. The programming on this platform is basically Read More

Hadoop and MapReduce Cheat Sheet

Hadoop and MapReduce User Handbook: Hadoop is one of the trending technologies which is used by a wide variety of organizations for research and production. This helps the user leverage several servers that offer computation and storage. Now, let us understand what MapReduce is and why it is important. MapReduce is something which comes under Hadoop. It is a programming Read More

Big Data Hadoop Cheat Sheet

Big Data Hadoop Cheat Sheet: In the last decade, mankind has seen a pervasive amount of growth in data. Then we started looking for ways to put these data in use. Analyzing and Learning from these data has opened many doors of opportunities. That is how Big Data became a buzzword in the IT industry. Then we are introduced to Read More

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