Getting Started With Big Data Analytics

It is process of collecting,organizing and analyzing large sets of data (Big Data) to discover patterns and other useful information.

Introduction to Big Data Analytics

Big Data Analytics is the process of collecting, organizing, and analyzing the large sets of data (Big Data) to discover patterns and other useful information. 

History and Evolution

Big Data has been around for years. Most organizations now understand that if they capture all the data that streams into their businesses, they can apply analytics and get significant value from it.

Even in the 1950s, businesses were using basic analytics (essential numbers in a spreadsheet that were manually examined) to uncover the insights and trends.

Benefits of Big Data Analytics
  • Big Data Analytics brings to the table the speed and efficiency.
  • A few years ago, a business would have gathered information, run analytics, and unearthed information that could be used for future decisions. Today, that business can identify the insights for immedicate decisions.
Why is Big Data Analytics Important

It helps organizations harness their data and use it to identify new opportunities. Researchers conclude that most of the times, Big Data Analytics is used by businesses to understand how they use big data.
  • Cost Reduction
  • Faster Better Decision Making
  • New products and Services
Who is using Big Data Analytics

Think of a business that relies on a quick agile decision to stay competetive and most likely the Big Data Analytics is involved in making that business trick.
  • Travel and Hospitality
  • Health care
  • Government 
  • Retail
How it works and what are the key technologies 

There is no single technology that encompasses Big Data Analytics, several technologies work together to help you get the most value from your information.

Here are the biggest players.
  •  Data Management
  •  Data Mining
Data Management

Data needs to be high quality and well govered before it can be reliably analyzed.

Data Mining 

It helps you examine the large amounts of data to discover patterns in the data and this info can be used for further analysis to help answer complex business questions.