Introduction - What is Big Data?
Big
Data refers to all the data that is being generated across the world- both
structured and unstructured. It teems up the business on day to day basis. Big
Data needs to be converted for smart business that enterprises can readily
expand. Better data leads to better decision making and strategic business
moves.
Characteristics of Big Data:-
Volume: Organizations collect data from a variety of sources from sensor or machine to machine data. The volume of a data becomes a critical factor in Big Data Analytics.
Velocity: Data streams in an unparalleled manner and so must be dealt in a timely manner.
RFID tags, sensors and
smart metering are driving the need to deal with torrents of data in near-real
time.
Variety: The data comes in various formats like video, text, database, numeric, and sensor
data and so on and therefore it is
important to understand the type of Big Data.
Everyday approximately 2.5 quintillion bytes of data are being
created. When the data gets so big, it is necessary to analyse it by a suitable
data processing application tool which is known as Big Data.
Madrid Software Trainings is the best Hadoop institute in Delhi ncr, which provides complete hands on practical training on hadoop.
Why is Big Data Important?
Big data analytics helps
organizations harness their data and use it to identify new opportunities
- Cost reductions- Big data technologies bring significant cost advantages when it comes to handling large amounts of data and they can identify more efficient ways of doing business.
- Better
Decision Making- With the speed of in memory analytics and Hadoop, businesses are
able to analyse the information quickly and make decisions.
- New
products and Services- With big data analytics, they are able to identify
the customer’s needs and satisfaction. More companies now are creating new
products to meet the potential customer’s needs.
- Determining
root causes of failures, issues and defects in near-real time.
- Detecting fraudulent behaviour before it affects your organization.
Who Uses Big Data?
Big Data affects organizations in almost every sector and
industry.
Banking- With large amount of information streaming from various sources, banks
have to find new and innovative ways to manage big data.
Government- When it comes to managing utilities, running agencies and
dealing with traffic congestion, Government agencies also apply analytics to
their big data.
Education- By identifying and analysing the big data, the school system
can identify at- risk students, makes sure of their progress and can apply
better evaluation system to help teachers and principal.
Health Sector- When it comes to healthcare, everything has to be done
quickly be it patient records, treatment plans and prescriptions.
There are many advanced analytics that can be applied to Big
Data. Some of the types of technology that you can use to get the best value
out of information are:
Data Management- Data needs to be high quality and well
driven to build and maintain standards for data quality. Organizations should,
therefore, endow a good data management program.
Data Mining- Data mining helps you to examine large
amounts of data and use for further analysis. With this software, you can use
the information to assess results, see which data is relevant and so on
Hadoop- It is open source software that can store
large amounts of data and run simultaneous applications.
Big Data Hadoop
Yahoo released Hadoop in 2008 as an open source project. It
provides massive storage for any kind of data, immense processing power and ability
to handle virtually endless tasks and jobs.
Advantages of Hadoop
- It is a highly
scalable storage platform. It provides a cost effective storage solutions
for businesses.
- It helps to
easily access new data and produce value from that data after analysing.
- Hadoop is
widely used across industries like media, entertainment, education,
government, healthcare, retail and many other industries.
- Hadoop is fault
tolerance. In case of event failure, there is another copy available for use.
- Hadoop makes
data sharing with its high sharing ability. The organizations use big data
to improve the functionality of every business sector.
Objectives of the Hadoop Training
- Understand the
basic and different components of Hadoop system such as Hadoop 2.7 Yarn,
MapReduce, Impala, Flume, Hive and Apache Spark.
- Understand
different types of file format, Avro Schema and Sqoop and Schema evolution.
- Gain a working
knowledge of Pig and its segments.
- With Hadoop training you
can make yourself ready for the fast growing market and rising job trends
of Hadoop jobs in India.
- You can easily execute the
real life and industry based projects and useful in becoming the expert in
various fields.
- Know the complete overview
about the Sqoop and Flume with the technique to absorb the data.
The Hadoop training in Delhi
In the training, you will understand the Hadoop framework
including HDFS, YARN and MapReduce.
It is best suited for IT, Data management and analytical professionals
who want to gain expertise in Big Data.For more details on Big Data Hadoop Course pls visit - www.madridsoftwaretrainings.com/hadoop.php
Tags- Hadoop Training in Delhi , Hadoop Institute in Delhi , Hadoop Training in Gurgaon
