Category: Data Management

Compare The Market – Data Science vs Analytical Skills

Tweet“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran By far, from my experience it is essential to build your argument/position having a supportive data at hand, we can’t just win the…

Data Science – build your skill with problem-solving, communication, curiosity and knowledge in data platform

TweetIn the flurry of recent posts about data science topic I have had feedback about what kind of skillset is required for a Data Scientist, so here is the extract. If you want to compete and be intelligent, then it…

This computer does not have the Oracle Java SE Runtime Environment Version 7 Update 51 (64-bit) or higher installed.

TweetYou may have guessed rightly that this is an error message during an installation. As you may know SQL Server 2016 – “a new platform for intelligent application” is generally available to deploy in production platform. While I was installing SQL…

SQL Server 2016 ‘It Just Runs Faster’

TweetIt will need guts to release such a statement, that too announcement about SQL Server 2016 – it just runs faster. Not a simple statement for marketing purpose, but real-world improvements and hard-work efforts made the new version 2016 as…

SQL Server 2016 general availability and discovery day

TweetIn another few days time SQL Server 2016 (RTM) will be available for the users and officially supported within the production environments. 2016 version is the first database born in the cloud, a new innovation in the world of data platform. There…

Data Driven event live – don’t miss the opportunity

TweetThere is no doubt that Microsoft is making big impact within data platform arena with new features and fixtures in SQL Server 2016 version. You name it: advanced analytics, distribution processing, cloud & on-premise data management with stretch database, R…

Business Analytics and Data Science – launch and decide career in data platform

TweetThe multitude of Business Intelligence and Data Warehousing is mature enough with necessary tools & technologies, based on this business users are well versed with requirements. However, the new age of data analysis turned into expansion of Analytics which has…

Hadoop – facts and myths

TweetWhen it comes to Big Data, Hadoop comes into picture – having an unique position within data platform in processing/managing multi-structured data for analytics and visualisations. Business Intelligence and Data Warehousing are key strategies to manage data platform, so as…