Technology

Big Data, What Is It?

Faced with the enormous amount of digital data currently in circulation, it has become necessary to develop new methods to manage and analyze them. Big Data is about finding, capturing, storing, sharing, and presenting this Data. Diceus big data developers are providing big data development services.

What is BIG DATA?

What about Big Data? 

The literal translation of this term is big data or big data. However, the term big data seems more appropriate. Due to their quantity and Volume, traditional management tools are unable to properly process this Data.

This information comes from messages sent, videos published, GPS signals, climatic data, and records of online purchases… The major players on the web, such as FacebookYahoo, or Google, are the first to implement this new technology treatment.

Big Data is presented as a dual technical system. In other words, it can generate benefits but also disadvantages. Experts argue that the impact of the Big Data trend on society is considerable.

Analyze data in bulk 

In addition to managing large amounts of information, prominent data designers set themselves the goal of real-time access to databases for everyone.

The 3V rule is an essential element of Big Data.

  • The Volume concerns the considerable importance of the data to be processed
  • The Variety covers the different sources of this information
  • Velocity refers to the speed of collection, creation, and sharing of such data.

These three factors are an essential component of Big Data. They must necessarily be considered to manage, analyze and process the considerable mass of information circulating every day. Big Data is presented as an evolution that no one can escape.

Technologies related to Big Data 

Two prominent families of technologies have contributed to the rise of this new data processing standard. On the one hand, the possibility of storing large volumes of information is linked to the development of cloud computing.

Then, the rise of adjusted processing technologies, such as Hadoop or MapReduce. Different solutions exist to improve processing times. To do this, it is essential to opt for storage systems that perform better than SQL to analyze a greater quantity of information more quickly.

Massive parallel processing is also an attractive option. Combining the HDFS system, the MapReduce algorithm, and NoSQL HBase technology, the Hadoop Framework is the most representative example.

Understanding Big Data

Big data keeps fueling conversations and articles posted on the web, but are you still skeptical? Update on this tool on the way to becoming essential for any self-respecting decision-maker.

Data galore

Big Data is a term meaning meaning “big data.” Indeed, billions of digital data are shared every day through different channels. You create one every time you send an email, post a status on social networks, use your GPS or make purchases with your credit card.

To give you a few figures, 1 billion pieces of content are shared on Facebook every day, and 30 million people watch Netflix.

Why do this?

These big data can now be used depending on the objective to be achieved. Thus, manufacturers use it to determine the needs of potential customers thanks to trained experts, the chief data officers.

Analyzing this information makes it possible to identify trends on which companies rely to develop products with every chance of breaking into the market. Marketers also use it to deliver the right product at the right time and with the right message to target customers.

Big Data is also used in many areas such as health, finance, politics, or security. He thus played a crucial role in the re-election of Obama in 2008 by allowing the Democratic candidate to target the undecided.

In the United States, some police departments use a supercomputer to determine when and where crime is likely to occur based on data on offense in the city.

How to take advantage of it?

Many companies have now specialized in Big Data. Software providers offer “Business Analytics & optimization” or BAO solutions to manage the massive data collected. Google has made a name for itself in this market, thanks to MapReduce. Still, other suppliers such as TeradataSAPOracle, or Microsoft offer similar software.

These big data players are now in competition with cloud computing specialists who offer self-service IT tools. The best known are Amazon Web ServicesGoogle BigQuery, and Microsoft Windows Azure.

Some SMEs specializing in Big Data consulting have also emerged to support companies in using this Data.

If you are looking for professional orientation, you can train yourself to become a “data scientist” or data analyst. This profession has a bright future ahead.

About the author

Ashley Judd

My name is Ashley Judd, I’m 27 years old, I’m currently studying MA Accounting and Finance (yes I love numbers) at university in Nottingham. I write down all my thoughts and perceptions and to ramble on about anything and everything.