BIG DATA

Exploring Hot Topics in Big Data

What is Big Data?

Big data is the electricity of the 21st century—a new kind of power that transforms everything it touches in business, government, and private life.

For most organizations, big data is the reality of doing business. It’s the proliferation of structured and unstructured data that floods your organization on a daily basis – and if managed well, it can deliver powerful insights.

Imagine being able to analyze data to determine the root cause of failures. Or detect fraudulent behavior before it affects revenue. Implementing the right solutions to make the most of your big data – from data management to analytics – can be key to your business success.

 

  • Energy and Utilities
  • Digital Media
  • Retail
  • Telecommunications
  • Financial Services
  • Transportation
  • HealthCare/LifeScience
  • Law Enforcement

FEATURES AND HIGHLIGHTS

  • Petabyte Scale
  • Dynamic sharding
  • Commodity Hardware
  • Open Source / Java
  • Temporal database
  • High Performance
  • High Concurrency (MVCC)
  • High Availability

Big Data Analytics

As data floods your organization on a daily basis, the question is no longer “What is big data?” It’s “What can we do with the big data we have?” The answer, of course, is integral to the future of your business. With big data analytics, you can implement data mining, predictive analytics, text mining, forecasting and optimization to explore options and make the best possible business decisions.

Big data analytics is the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. With big data analytics, data scientists and others can analyze huge volumes of data that conventional analytics and business intelligence solutions can’t touch.

Hadoop

Big data can be difficult to handle using traditional databases. Apache Hadoop is a NoSQL applications framework that runs on distributed clusters. This lets it scale to huge datasets. If you need analytic information from your data, Hadoop’s the way to go.Organizations with massive volumes of data stored in platforms such as Hadoop need a way to extract value from all that information. And that’s where ConsultADD comes in. With our support for Hadoop, you can take advantage of the business analytics capabilities of SAS, making it easier to gain insights and discover trends through data management, data visualization and analytics.

 

Big Data in Action

There are multiple uses for big data in every industry – from analyzing larger volumes of data than was previously possible to drive more precise answers, to analyzing data in motion to capture opportunities that were previously lost. A big data platform will enable your organization to tackle complex problems that previously could not be solved.

  • Healthcare: 20% decrease in patient mortality by analyzing streaming patient data
  • Telco: 92% decrease in processing time by analyzing networking and call data
  • Utilities: 99% improved accuracy in placing power generation resources by analyzing 2.8 petabytes of untapped data

Data Visualization

Data visualization is the presentation of data in a pictorial or graphical format. For centuries, people have depended on visual representations such as charts and maps to understand information more easily and quickly.

Some say seeing is believing. But when it comes to data visualization, seeing is understanding. When your data comes to life in charts and graphs, you start to see things you have never seen before. Trends. Truths. Solutions that give you an edge over the competition. And now that big data has become pervasive in most organizations, data visualization is key to putting it in perspective.

Industries Big Data Spend ($ Million)

Telecommunications
25%
Travel / Hospitality / Airlines
25%
Banking / Financial Services
20%
High Tech
17%
Utilities
10%
Insurance
7%
Manufacturing
6%
Others
12.5%

Large Processing Technology

The growth of graph-structured data in modern applications such as social networks and knowledge bases creates a crucial need for scalable platforms and parallel architectures that can process it in bulk.

SNS (Social network service)

A social network service or social networking service, most often called SNS, is a medium for establishing social networks of people who share interests and/or activities.

Mobile

‘Big data’ is the ability to process and analyze the mass of data collected by companies, for example mobile phone operators, retailers and airlines, to provide insights that give them an edge over rivals.

Cloud Computing

The rise of cloud computing and cloud data stores have been a precursor and facilitator to the emergence of big data. Cloud computing is the commodification of computing time and data storage by means of standardized technologies.

BIG DATA: BEYOND THE HYPE

  • Powerful
  • Giant customization capabilities
  • Amazing Business
  • Volume | Velocity | Verity