Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
“The biggest problem with big data is using it.”
Accessing, analyzing, and actioning with big data are among the key challenges facing every enterprise. In this detailed report from Forrester, you’ll see key drivers and challenges with Big Data, and some clear recommendations on how to proceed.
Get the white paper to see Forrester's key findings.
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes.
This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
Tips and best practices for data analytics executives
Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time.
This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them.
We'll also provide a short overview of TIBCO Statistica, an easy-to-use predictive analytics software solution designed to turn big data into your bigg
Published By: Datastax
Published Date: Apr 04, 2017
As the big data ecosystem continues to expand, new technologies are addressing the requirements for managing, processing, analyzing, and storing data to help companies benefit from the rich sources of information flowing into their organizations. From NoSQL databases to open source projects to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
Accessing, analyzing, and actioning with big data are among the key challenges facing every enterprise. In this detailed report from Forrester, you’ll see key drivers and challenges with Big Data, AND some clear recommendations on how to proceed.
Get the white paper to see Forrester's key findings.
Accessing, analyzing, and actioning with big data are among the key challenges facing every enterprise. In this detailed report from Forrester, you’ll see key drivers and challenges with Big Data, AND some clear recommendations on how to proceed. Get the white paper to see Forrester's key findings.
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment:
- They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners.
- They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing.
- They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions.
The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
Filled with exotic terms like “Hadoop” and “Data Scientist”, Big Data, business intelligence and analytics have always been the domain of the biggest enterprises with huge teams to devote to analyzing data. But thanks to the latest technology advances businesses of almost any size can utilize tools to help inform every part of business decision-making. This SlashGuide looks at a recent Slashdot Pulse research study on BI/BA and discusses what’s really important when it comes to Big Data – and what businesses can do now to capitalize on the trend.
Published By: SmartFocus
Published Date: Aug 25, 2015
Combining, streamlining and analyzing data is still the biggest single struggle for marketers. Most marketers can’t use data for simple offer based marketing, let alone sophisticated contextual marketing. Part 1 of our ‘Overcoming Marketing Challenges’ White Paper series discusses how data has become a barrier for many marketers and four data steps you can take to engage more successfully with your customers.
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