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 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.
| Areas |
Big Data applications |
| Targeting customers |
Big Data helps understanding customers and target them in a personalized fashion. |
| Science and Research |
Big Data helps make machines smarter. For example, Google’s self-driving cars |
| Security |
Big Data is used to keep track of the terrorists and anti-national agencies |
| Finance |
Big Data algorithms are used to analyze market and trading opportunities |
Big Data and Hadoop Tutorial Video:
After reading this tutorial, you as an individual will have enough working knowledge and proficiency in the following:
- Apache Hadoop framework
- Hadoop Distributed File System
- Visualizing of Data using MS Excel, Zoomdata or Zeppelin
- Apache MapReduce programming
- Apache Spark ecosystem
- Ambari administration
- Deploying Apache Hive, Pig, and Sqoop
- Knowledge of the Hadoop 2.x Architecture
- Data analytics using Hadoop YARN
- Deploying MapReduce and HBase integration
- Setting up of Hadoop Cluster
- Proficiency in Hadoop Development
- Working with Spark RDD
- Job scheduling using Oozie
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. Prepare yourself for the interview with our free material on Hadoop Interview Questions
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.
Prepare yourself for the interview with our free material on Hadoop Interview Questions
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.