Explore the Data Science with Big Data Hadoop

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 imparts an in depth knowledge of Big Data knowledge using Hadoop software.

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



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