Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations

  • Source: TechTarget
  • Written By:
  • Published:
  • (Originally Published On:) )
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data.

Featured Software Research:

Analytics: A Blueprint for Value in Mid-Market Organizations

  • Source: IBM
  • Written By:
  • Published:
While most mid-market companies have an analytics foundation designed to handle structured data, few have evolved to more dynamic environments required for big data and a pervasive and prescriptive use of advanced analytics that are essential to survive in a digital world. So, what should mid-market companies do now to improve their capabilities to convert data-driven insights into meaningful results? In this report, we explore how they can tap into their strengths, shore up their weaknesses, and learn from analytics leaders. Read More

Analytics: The Real-World Use of Big Data

  • Source: IBM
  • Written By:
  • Published:
Big data inspires new ways to transform processes, organizations, entire industries—and even society itself. Yet extensive media coverage and diverse opinions make it easy to perceive that big data is only for “big” organizations. So what is really happening? Our newest research finds that midsize organizations are just as likely to be using big data technologies to tap into existing data sources and get closer to their customers as any other company. Find out how. Read More

The Operational Data Lake: Your On Ramp to Big Data

Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace. Read More

You may also be interested in these related documents:

The Value of Big Data

As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More

Big Data: Operationalizing the Buzz

Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more. Read More

Analytics: The Real-World Use of Big Data

  • Source: IBM
  • Written By:
  • Published:
Big data inspires new ways to transform processes, organizations, entire industries—and even society itself. Yet extensive media coverage and diverse opinions make it easy to perceive that big data is only for “big” organizations. So what is really happening? Our newest research finds that midsize organizations are just as likely to be using big data technologies to tap into existing data sources and get closer to their customers as any other company. Find out how. Read More
 
comments powered by Disqus