Get Faster Time Value from Your Big Data Technology!

Big Data is something very relevant and essential to the IT industry today. It has transformed most areas of business industry, research and most parts of our lives. We can now collect and analyze data in various ways that was not possible even a few years ago. Big Data is a term used to describe the ability to harness the ever increasing volumes of data in the world. No just to analyze but Big Data also includes the speed at which it is created and used as well as different types and structures of data. The three V’s” — “volume, velocity and variety,” concepts originally coined by Doug Laney in 2001 to refer to the challenge of data management.

Components of Big Data

Size is one of the important components of Big Data. We generate more data than ever before. Over 90% of the data in the world was created in the past couple of years.

Speed is another important component. The speed at which we generate new data and the speed at which data moves around are phenomenal. Every minute we send over 200 million emails, click almost 2 million likes on Facebook, and send almost 300K tweets and up-load 200K photos to Facebook as well as 100hours of video to YouTube. In addition, think of all the web searches conducted (about 3.5 billion a day for Google alone), all the sensor data gathered, all the credit card transactions, all the mobile phone location data, etc. Huge no!

Structure is a third component of Big Data. In the past we mainly relied on structured data, the type that we can put into tables and neatly organise. Less structured data, such as text files, photographs, video content etc. was largely ignored. Today, we have the ability to use and analyse a large variety of data including written text, spoken words, even the tone in our voice, as well as biometric data, photographs and video content.

The importance of Big Data lies in the efficient utilization of the same. Such data can be extracted from any source and analyzed to find answers that enable time and cost reductions. An accurate analysis of such data also leads to new product development and smart decision making, by businesses. Therefore, big data with powered analytics is important in calculating the risks and having solutions for the same.

The Endless Applications of Big Data

  • Companies use big data to better understand and target customers by bringing together data from their own transactions as well as social media data and even weather predictions.
  • Businesses optimise their processes by tracking and analysing their supply chain delivery routes and combine that data this with live traffic updates. Others use machine data to optimise the service cycles of their equipment and predict potential faults.
  • Big Data is used in healthcare to find new cures, to optimise treatment and even predict diseases before any physical symptoms appear.
  • Big Data is used to analyse and improve the performance of individuals (at sports, at home or work) where data from sensors in equipment and wearable devices can be combined with video analytics to get insights that traditionally where impossible to see.
  • Police forces and security agencies use big data to prevent cyber attacks, detect credit card fraud, foil terrorism and even predict criminal activity.
  • Big Data is used to improve our homes, cities and countries by optimising the heating or lighting in our homes, the traffic flow in our cities, or the energy grit across the country.

The interpretation of Big Data focuses on finding hidden threads, patterns or trends which may not be easily visible. It may sound easy but it requires new technologies and skills to analyze the flow of material and draw conclusions. Hadoop is one such technology and most commonly associated with Big Data. Hadoop is open-source and there are variants produced by many different vendors such as Cloudera, Hortonworks, MapR and Amazon. There are also other products such HPCC and cloud-based services such as Google BigQuery. It is one of the fastest growing technologies, for data architecture and efficiently distributes and processes huge amounts of data. For processing Big Data, Hadoop is the most extensively used software, in the present scenario.

The Hadoop Training in Delhi is primarily designed to familiarize you with a pervasive knowledge of the basics and as well as advanced concepts of the Hadoop eco-system. The functional benefits of Map Reduce, HBase, Zookeeper and Sqoop‘s are highlighted and practically integrated in this course. At the end of the training, the students will gain in-depth knowledge of all the core concepts and techniques associated with Big Data and Hadoop.

Learning Outcome with Hadoop institute in Delhi

The program focuses in prepping the students with a variety of skills and techniques involved in efficient analysis, selecting and execution of Big Data, using Hadoop software.

Some of them include:

· Data loading techniques using Sqoop and Flume

· Writing complex MapReduce programs

· Performing data analysis using various programs

· Concepts of Hadoop Distributed File System and MapReduce framework

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