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Showing posts from November, 2017

Oracle 18c Goes for Database Automation in the Cloud

In what was probably the most important announcement made during 2017 ’s version of Oracle’s OpenWorld conference, the company announced the release of version 18c of its worldwide known database management system which includes two key features: to be a fully automated. Oracle’s founder and CTO Larry Ellison made the announcement of the autonomous database, which includes database and cyber-security automation because, according to Mr. Ellison, “human processes stink”. According to Oracle, the autonomous database will practically eliminate all human intervention associated with all database managing activities like tuning, patching, updating and maintenance by including major capabilities: Self-Driving: Provides continuous adaptive performance tuning based on machine learning. Automatically upgrades and patches itself while running. Automatically applies security updates while running to protect against cyber-attacks. Self-Scaling: Instantly resizes compute and stora

IBM's Integrated Analytics System Joins the Ranks of Full Powered Analytics Platforms

As we get deeper into an era of new software platforms both, big players and newcomers are industriously working to reshape or launch their proposed new-generation analytics platforms, especially aiming to appeal to the growing community of new information workers or “data scientists” ㅡa community always eager to attain the best possible platform to “crunch the numbers”ㅡ, examples include those including Teradata with its new analytics platform or Cloudera with its Data Science Workbench . So now the turn is for IBM, which recently unveiled its Integrated Analytics System . IBM’s new offering represents the company’s unified data system aimed to provide organizations with easy, yet sophisticated platform for the development of data science within data from on-premises, private, public of hybrid cloud environments. The new offering coming from the “Big Blue” company is set to incorporate a myriad of data science tools and functionality features as well as the proper data managem

Analytics with Maple Syrup Flavour: Canadian Data & Analytics Companies. Part 1

We all know Silicon Valley is the mecca of technology and, of course, this applies too,for the business intelligence (BI) and analytics market, as it concentrates many of its vendors. Still, it is not hard to realize that around the world we can find tech companies developing innovative technology and software in many areas of the data management space, both already consolidated companies and vibrant startups looking to disrupt the market. While for many people it’s not a surprise the relevant role some Canadian companies have played in the evolution of the business intelligence (BI) and analytics market, for some, it is still unclear which companies in Canada are setting a mark for the evolution of local Canadian data management technology. Just as brief sample, we can mention these honorable mentions of Canadian companies who played a key role in the evolution of BI, including: Former Ottawa-based software company Cognos , a fundamental player in the BI enterprise perform