Overview of Bigdata Analytics

Big Data

So large data that it becomes difficult to process using the traditional system

Velocity•Data Speed

Volume•Data quantity

Variety•Data Types

Characteristics of Big Data

Volume refers to huge amount of data being generated every minute.

90% of the data we have now is created in just past 2 years.

Cisco estimates internet traffic 4.8ZB per year.

3 billion people would be online by 2015 .

Volume

Velocity refers to SPEED at which new data is being generated and moves around.

It includes Real time working systems such as Online banking.

Need of low response time.

Velocity

Variety refers to various datatypes which we can now use.

Earlier focus was on neat and structured data kept in form of tables in RDBMS.

80% of data available now is unstructured data

Data in the from of text, videos, audios and pictures.

Variety

Mobile Devices

Social Media

E-Commerce

E-Mails

Where does data come from?

Wisdom

What good is all of this data?

Why Big Data

– Increase of storage capacities

– Increase of processing power

– Availability of data

– 90% of the data in the world today has been created in the last two years alone

Big Data Analytics

• Examining large amount of data

• Appropriate information

• Competitive advantage

• Better business decisions

• Effective marketing, customer satisfaction, increased revenue

Applications for Big Data AnalyticsFinance Smarter Healthcare

Multi-channel sales

TelecomManufacturing

Traffic Control

Trading Analytics

Log Analysis Search Quality

NoSQL : non-relational or at least non-SQL database solutions such as HBase (also a part of the Hadoop ecosystem), Cassandra, MongoDB, Riak, CouchDB, and many others.

Hadoop: It is an ecosystem of software packages, including MapReduce, HDFS, and a whole host of other software packages

Hadoop is a open source framework

Java-based programming framework

Processing and storing of large data sets

Distributed computing environment.

What is Hadoop?

References•http://searchbusinessanalytics.techtarget.com/Experts sound off on big data , Analytics and its tools

• http://www.ibmbigdatahub.com/infographic/four-vs-big-data Big data and analytics hub

• https://bigdatauniversity.com/bdu-wp/bdu-course/hadoop-fundamentals-i-version-3/Hadoop fundamentals