Slideshows

12 Top Big Data Analytics Players

Doug Henschen October 18, 2011 08:01 AM When data grows into the tens or even hundreds of terabytes, you need a special technology to quickly make sense of it all. From Hadoop to Teradata, check out the top platform options.

« Previous Page | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Next Page »

E-mail
Share

Modular EMC Appliance Handles Multiple Data Types

EMC acquired Greenplum in 2010, and it wasted no time in developing an EMC Greenplum Data Computing Appliance (DCA) combining EMC storage hardware and replication and recovery options with Greenplum's massively parallel processing (MPP) database. EMC's Data Computing Division is expanding on Greenplum's deep support for in-database analytics with partners including SAS and MapR.

EMC introduced its own distribution of Hadoop software in May, and a Modular DCA set for release this fall promises to support the Greenplum SQL/relational database as well as Hadoop deployments on the same appliance. With Hadoop, EMC addresses analysis of truly big data like clickstreams and unstructured data such as social-network comments. The Modular DCA will also support high-capacity storage modules on the same appliance for long-term retention of records to meet regulatory mandates.

Recommended Reading

Big Data A Big Backup Challenge

Big Data: Informatica Tackles The High-Velocity Problem

EMC Tailors Storage Systems For Big Data

IBM Picks Hadoop To Analyze Large Data Volumes

Databases Alone Can't Conquer Big Data Problems

Oracle's Big Plans For Big Data Analysis

10 Lessons Learned By Big Data Pioneers

« Previous Page | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Next Page »

By The Numbers

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?

SaS

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.