 | |  | | Doug Henschen | | | | | If you've even experimented with building big data applications or analyses, you're probably acutely aware that the domain has its share of missing ingredients. We've boiled it down to five top wants on the big data wish list, starting with SQL (or at least SQL-like) analysis options and shortcuts to deployment and advanced analytics and finishing with real-time and network analysis options.
The good news is that people and, in some cases, entire communities, are working on these problems. There are armies of data-management and data-analysis professionals who are familiar with SQL, for example, so organizations naturally want to take advantage of knowledge of that query language to make sense of data in Hadoop clusters and NoSQL databases. It's not a surprise that every distributor of Apache Hadoop software has proposed, is testing, and has or will soon release an option for SQL or SQL-like analysis of data residing on Hadoop clusters.
Deploying and managing Hadoop clusters and NoSQL databases is a new experience for most IT organizations, but it seems that each and every software update brings new deployment and management features expressly designed to make life easier. Read on to hear how vendors and the big data community responding to the three other big wants on the wish list.
Read More. | |  | | JOIN THE CONVERSATION Posted By Adam Chernoff: "'Things that appear too good to be true probably are.' My concern lies with folks like Gregor Mendel, who, during his time, knew enough to make his data look legitimate. One of the great things about having such a scientific minded community is; if results are fascinating, there will be an attempt to replicate. Natural curiosity, common sense, and outlier detection appear to be excellent tools for catching these fakers." In reply to: Big Data Fakers: 5 Warning Signs View Entire Response | Post Your Own Reply  | | COMMENTARY REPORTS & WHITEPAPERS FEATURED REPORTS
Research: 2013 BI/Analytics Salary Survey
Companies know that advanced analytics can give them a competitive advantage, but how do they get there? With 44 percent of staffers in our salary survey saying one of their top duties is "designing and revising reports" and just 12 percent of managers and 10 percent of staff focusing on tasks that can help predict performance, it appears there's still a long road ahead.
Our InformationWeek 2013 U.S. IT Salary Survey reveals that business intelligence/analytics and data integration/data warehousing salaries are slowly but steadily climbing, according to 806 respondents in these categories. The median total compensation for managers in these categories is $130,000.
If you're intent on bringing analytics experts on staff, keep in mind that automation and self-service technologies could change the game. In our survey we find that staff and managers alike are still bogged down by query and reporting tasks that could be handled by competent business users. It's time to liberate BI, analytics, and data management professionals to handle the more important, business-driving opportunities.
Download Now (Registration Required)
| | |  | | | FEATURED WHITEPAPERS Making Big Data Fast And Easy: Creating Context Across Multiple Data Sources Although big data promises huge insight, the truth is that many companies are struggling to realize the benefits due to the difficulty in integrating data from multiple silos. This research paper examines how to create contextual big data and how to simplify the analytics process for business users without needing to go to IT for every time a new study begins. Pros and cons of multiple methods for big data analytics are analyzed and recommendations for getting started are provided.
Download Now (Registration Required) | Choosing A Data Integration And Governance Approach In A Big Data World In this session you will hear Gartner Analyst Eric Thoo describe four different approaches to data integration. Thoo will map the different approaches to five key use cases to help you identify the capabilities you need and to provide insights into evolving data integration challenges and the capabilities that are emerging to address them.
David Corrigan from IBM will describe the IBM InfoSphere data integration solutions and relate them to the different critical data integration use cases.
Attend this webcast to develop a framework for approaching data integration in the new era of big data. It happens April 23, 2013. More Information & Registration |  | |
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This e-mail was sent to sojo.blo@gmail.com
| Big Data. Big Decisions. From Enterprise Software And SAS
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