Big Data tutorials, technologies, questions and answers

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Big Data technology tutorials, questions and answers

Big Data technologies are here to help companies to analyze huge set of data generated through various sources. It provides technologies for handling huge quantity of structured and unstructured data. Big Data technologies provides software system for analyzing data in real-time or through scheduled job.

Famous companies like Face book, Twitter, Google are using Big Data technologies for handling such a huge data set for their users. Due to innovation in Big Data technologies these companies are able to handle so much of data and the access of these data is also very fast.

In this section we are providing you many articles, tutorials and questions and answers on various Big Data technologies.

Top Big Data Technologies to learn in 2018

Big Data Tutorials

Following articles are good for learning Big Data technologies:

What do you understand by Big Data? - Learn the features of uses of Big Data.
What is Big Data? - Find all the details of Big Data in detail.
What is Big Data Platform? - Big Data platform and various tools used in such environment
Big Data Analytics with Hadoop - Importance of Hadoop in Big Data Analytics
5 Crazy Ways Big Data can Add Value to Life - How Big Data is adding value in your life
Best way to learn Big Data
Why Hadoop as Big Data tool? - Why to use Hadoop and Big Data tool?
What are Certificate in Big Data Analytics? - Which are the most valuable certification in Big Data Analytics?
The 5 Major Big Data Tools and Developing Trends in 2017
Things You Need To Know About Big Data Analytics
Everything You Need To Know About Big Data
How Big Data is used in social media? - Big Data in social media and how it helps the growth of social media.
How Big Data is useful for consumers? - Big Data advancement for benefit of better serving customers and increasing business growth.
Using Splunk with Hadoop - Big Data platform while Splunk is an engine which is used for data collection
What are the prerequisites to learn Big Data and Hadoop? - Explain all the necessary prerequisites to learning Big Data and Hadoop technologies
What is predictive analytics? - Uses of Predictive analytics in industries.
Hadoop shell commands - Hadoop shell commands with example for managing files

Big Data Technologies

Let's discuss the technologies used in Big Data environment.

Hadoop - Apache Hadoop is software system for storing and processing of big data sets, many technologies are used on the top of Hadoop to achieve Big Data analytics.
Hadoop HDFS - Hadoop HDFS (Hadoop Distributed File System) is framework for storing files (by splitting and other means) on to distributed servers in fault-tolerant way. This enables to store huge data sets in Big Data Environment. Many tools and software on the top of Hadoop HDFS is used for storing and analyzing the data.
HBase - HBase is NoSQL database on the top of Hadoop HDFS, which provides random and fast access to the data.
Hive - Apache Hive provides SQL query interface for searching the data stored in HDFS.
Pig - Apache Pig system is high level abstraction for creating and running MapReduce job on the HDFS.
Mahout - Apache Mahout is machine learning framework which works with Hadoop ecosystem.
Oozie - Apache Oozie is workflow scheduling system which works on the Hadoop ecosystem. It is used for scheduling the jobs in Big Data environment.
Zookeeper - Apache Zookeeper is software system which is part of Hadoop ecosystem and it is used for centralized management of configuration information, name providing, distributed synchronization and providing group services.

Machine Learning

Here are tutorials of Machine learning:

Big Data tutorials on devmanuals.com

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