The evolution of the technologies in Big Data in the last 20 years has presented a history of battles with growing data volume. The challenge of big data has not been solved yet, and the effort will certainly continue, with the data volume continuing to grow in the coming years. The original relational database system (RDBMS) and the associated OLTP (Online Transaction Processing) make it so easy to work with data using SQL in all aspects, as long as the data size is small enough to… Continue
Added by Stephanie Shen on September 29, 2019 at 4:00pm —
I started my career as an Oracle database developer and administrator back in 1998. Over the past 20+ years, it has been amazing to see how IT has been evolving to handle the ever growing amount of data, via technologies including relational OLTP (Online Transactional Processing) database, data warehouse, ETL (Extraction, Transformation and Loading) and OLAP (Online Analytical Processing) reporting, big data and now AI, Cloud and IoT. All these technologies were enabled by the rapid…
Added by Stephanie Shen on June 23, 2019 at 7:30am —
As stated in the last article, database obesity due to numerous intermediate tables and stored procedures is rooted in the closed computational system. If there is an independent computing engine providing computing capability independent of databases, then the latter can lose weight.
With a separate computing engine, the database-generated intermediate data doesn’t have to be stored as data tables; instead, it can be stored in the file system to be further computed… Continue
Added by JIANG Buxing on December 12, 2017 at 12:30am —
A strong declaration from a historically antagonist foe should put chills in the hearts of Americans preparing themselves for the world ahead: Russian President Vladimir Putin says the nation that leads in AI will be the ruler of the world … The ruler of the world!
From the article (with some modification to avoid political landmines), we get the following:
“The development of artificial intelligence has increasingly become a national security…
Added by Bill Schmarzo on November 4, 2017 at 6:00am —
Since releasing the University of San Francisco research paper on “How to Determine the Economic Value of Your Data” (EvD), I have had numerous conversations with senior executives about the business and technology ramifications of EvD. Now with the release of Doug Laney’s “Infonomics” book that builds upon Doug’s EvD work at Gartner, I expect these conversations to intensify. In fact, I just traveled to Switzerland to discuss the potential business and technology…
Added by Bill Schmarzo on November 1, 2017 at 11:00am —
This blog was written with the thoughtful assistance of David Leibowitz, Dell EMC Director of Business Intelligence, Analytics & Big Data
So data warehousing may not be cool anymore, you say? It’s yesterday’s technology (or 1990’s technology if you’re as old as me) that served yesterday’s business needs. And while it’s true that recent big data and data science technologies, architectures and methodologies seems…
Added by Bill Schmarzo on October 29, 2017 at 4:30am —
In five short years the world of analytics has changed immeasurably. Five years ago Hadoop was reaching the peak of the hype cycle and it acted as a wake-up call to businesses that perhaps there is value in their data.
This evolved more recently into big data analytics. Although Hadoop opened a door to big data, it wasn’t actually the right tool for what most businesses needed – fast analytics, interactive experimentation with data and exploratory analysis of… Continue
Added by Aaron Auld on December 7, 2016 at 8:00am —
E-Commerce has been on the rise with more and more businesses taking to online platforms to reach out to their clientele. Consequently, there has been a significant increase in the number of online spending, which has been due to the increase in the adoption and ownership of mobile devices that has resulted in a shift to the web. As a result, shoppers are always looking out for unmatched shopping experiences. That is, quick access, round-the-clock availability, accessible content and smooth… Continue
Added by Tony Branson on November 17, 2016 at 9:00pm —
Atomic Information Resource (AIR)
How do we design a data model, how do we connect data, how do we represent information, how do we store or retrieve them ? These are all fundamental questions in data modeling but there is a common key to unlock them. You have to start by defining a primitive information resource, and then understand how one can build complex information structures on top of… Continue
Added by Athanassios Hatzis on October 12, 2016 at 12:30am —
Database encryption has emerged as one of the leading end-point data security solutions at a time when an increasing number of organizations are faced with the threat of cyber-attacks and data theft or loss. Growing concerns regarding data privacy compliance regulations and data safety have now gained priority and companies have begun investing heavily in advanced database encryption solutions. Based on the compliance and security… Continue
Added by Alina John on April 28, 2016 at 2:00am —
Hadoop is the leading open-source software framework developed for scalable, reliable and distributed computing. With the world producing data in the zettabyte range there is a growing need for cheap, scalable, reliable and fast computing to process and make sense of all of this data. The underlying technology for Hadoop framework was created by Google as there… Continue
Added by Zygimantas Jacikevicius on November 25, 2015 at 1:20am —
Added by Athanassios Hatzis on March 21, 2015 at 5:30am —
The subject of this blog might seem rather rudimentary for those who fully understand the importance of properly managing data. For those people, hopefully, you will find the post worth reading and provide constructive feedback and augment the discussion. The purpose of this post is to highlight the necessity to keep data clean and orderly so that the results of the analysis are reliable and trustworthy - if data integrity is intact, information derived from this data will be trustworthy… Continue
Added by Randall Shane on March 8, 2015 at 12:00pm —
Summary: This blog series is designed to help you understand which NOSQL Big Data database is right for you. It is addressed to business executives and managers who need a primer on how this decision should be made.
Starting a Big Data Initiative is… Continue
Added by William Vorhies on September 3, 2014 at 8:31am —
While MongoDB has been the most popular NoSQL database over the past few years, it appears Cassandra is most popular over the past six months. Many assert that Cassandra has superior scalability, better data management features, is faster and MongoDB has more moving parts and complexity to cause… Continue
Added by Michael Walker on June 4, 2014 at 4:00pm —
As the size of the database grows database performance becomes critical. Automation is a growing focus for data center operators facing increasingly complex environments. Database administration is complex, repetitive and time consuming. DBAs have to work long hours during off hours downtime. The outage of database costs heavily to the companies and affect their repute.
Shopping engines and online shopping places are highly dependent on database performance. Slower application… Continue
Added by Muhammad Saeed on May 9, 2014 at 4:00am —
A major concern for organizations building big data analytical ecosystems is data security. One flaw of Hadoop/MapReduce and many NoSQL databases is weak security.
Added by Michael Walker on May 1, 2013 at 9:00am —