Information Management News


Early Bird Pricing for Data Summit 2018 Ends Friday  

Special early bird registration pricing for Data Summit 2018 has been extended for 1 week, and will end Friday, April 27. The Data Summit conference is a unique world-class event that brings together IT practitioners and business stakeholders from top corporations, government agencies, and public institutions to learn about the leading technologies and strategies for succeeding in this increasingly data-driven world. Read More

Cognitive Computing Journey—Begins With Data Management

The impact of cognitive computing technologies—including artificial intelligence (AI) and machine learning (ML)—is increasingly being felt in data centers and database operations of all sizes, across all industries. Research shows that AI and related cognitive technologies are no longer just experiments conducted by computer or data scientists—they are part of a real-world technology wave that is already showing tangible business results. Read More

Sponsored Content: Training Machine Learning Models with MongoDB

Over the last four months, I attended an immersive data science program at Galvanize in San Francisco. As a graduation requirement, the last three weeks of the program are reserved for a student-selected project that puts to use the skills learned throughout the course. The project that I chose to tackle utilized natural language processing in tandem with sentiment analysis to parse and classify news articles. Read More

Navigating the Post-Relational Database Era at Data Summit 2018

With more big data options than ever before we are now in the post-relational database era, according to David Teplow, CEO, Integra Technology Consulting. However, professionals aren't done with relational database management systems (RDBMS) and are utilizing Hadoop, HBase, Cassandra, MongoDB and more, alongside tried and true RDBMS solutions.Teplow will discuss the rise of Hadoop and other massively parallel processing architectures during his Data Summit 2018 session titled, "SQL's Sequel: Hadoop and the Post-Relational Revolution." Read More



Todd Schraml

Database Elaborations

Todd Schraml

  • Reverse-Engineering Exposes Unconscious Implementations For data architects, it is not unusual to use a data modeling tool to reverse-engineer existing solutions' databases. The reverse-engineering could occur for a functional reason, such as gathering information to evaluate a replacement option, or to comprehend a solution, seeking to work out what data should be extracted for a downstream business intelligence need.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • Data Lake Versus Data Warehouse: Understanding the Differences Data lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, "a data lake is a storage repository that holds an enormous amount of raw or refined data in native format until it is accessed." That makes sense. I think the most important aspect of this definition is that data is stored in its "native format." The data is not manipulated or transformed in any meaningful way; it is simply stored and cataloged for future use.
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

  • WIT and the SQL Server Community Women's issues have headlined the news media for the past several months. Many stories, ranging from the #MeToo movement to the "Brogrammer" email blast at Google, have shown that women in technology (WIT) face negative work conditions and social pressures. In light of that, it seemed appropriate to dive into the topic of WIT within the SQL Server community (aka, the Data Platform community) and gauge where we're at.
Recent articles by Kevin Kline
Guy Harrison

Emerging Technologies

Guy Harrison

Recent articles by Guy Harrison
Rob Mandeville

Next-Gen Data Management

Rob Mandeville

  • Moving to Automation Means Many Decisions Moving to automation means many decisions and modifications will occur without human involvement. Alterations are likely to occur that are not to the benefit of the end user (we will not get this 100% right in its nascence). Data "owners" will need very good information about what was adjusted, when it changed, and whether it was ultimately good for the user experience. The right tools will be needed as uptime, resource consumption/capacity, and relative health become basic "pay-to-play" propositions managed by automation. As end user experience continues to trump all other concerns in the application world, taking the end user vantage point will be central to monitoring autonomous changes.
Recent articles by Rob Mandeville

Trends and Applications