Data Intelligence
Microsoft SQL Server

Data Intelligence

I had the amazing opportunity to attend PASS Summit 2016, the largest Microsoft SQL Server event I the world. The event provided the opportunity to meet many international experts and engage with Microsoft engineers in every field.

As a first time attendee there was a lot of logistics to understand to get the most from the event. I was amazed by the number of Europeans who attended the conference, many of whom I know as a helper for many years at SQLBits. PASS Summit is the pinnacle of the year and I can say I gained much from this event which otherwise would not have been possible.

The first summit keynote delivered by Joseph Sirosh who presented types of A.C.I.D. intelligence with various patterns, intelligent DB, intelligent lake and deep intelligence. A.C.I.D. intelligence being Algorithms, Cloud, IoT and Data. Intelligence is now in every piece of software with applications that continually learn from the data and subsequent information.  This pushes intelligence to where the data lives.

The intelligent database incorporates the new functionality of R Services, provides an operating system of choice (Windows or Linux) for any data deployed anywhere. The SQL Server 2016 functionality is extended with the hybrid transaction and analytical processing (HTAP) solution which the In-Memory OLTP, In-Memory Analytics, In-Memory Azure SQL Database (launched 15 November) combined with Polybase enable fast querying of structured and unstructured data. Polybase can connect to all data sources such as MongoDB, Hadoop, Teradata, Oracle. Adding machine learning to the suite of tools add benefits such as real time fraud detection. DocumentDB properties were also discussed highlighting the blazing fast performance and global replication.

The intelligence lake enables the handling of petabytes of data through algorithms and the extensible data lake. Azure analysis services is available at public preview and Azure SQL Data Warehouse with its parallel processing and scale out was offered as an exclusive one month free trial. There was a great demo by Julie Koesmarno on Azure cognitive services with U-SQL which provided sentiment analysis of War and Peace.

The final part of the key note presented deep learning which looked at many real life examples of learning everywhere from collecting data reviewing whether power lines looked in a good state of repair to face detection to medical research detecting cancer cells.

The keynote was truly inspirational. There were many other amazing sessions with a vast amount of information on diverse topics which I will share in separate posts.

To view or add a comment, sign in

More articles by Dr Victoria Holt FBCS

  • Data Story Telling

    Story telling is an important facet when working with data. Whilst I was working on my research PhD, I thought it was…

  • State of the SQL Nation and the Microsoft Engineering Model

    SQLBits 2017 was different this year and instead of a keynote launching the event they had a 15 mins Q & A session with…

    2 Comments
  • Keeping Data Skills Up To Date in a Rapidly Changing World

    Keeping up to date with rapid technological advances has become a real issue, especially with the adoption of cloud…

  • Data past, data present and data future

    Database and data management practices are changing and new practices need to be adaptive and agile. Here are a few…

  • The Future of Database Management

    There is a change coming to the database administration role. Change brings uncertainty but it also brings opportunity.

  • Enhancing Business Intelligence with Data Science

    The heterogeneous nature of data has resulted in an evolution of the business intelligence platform. The traditional…

    1 Comment

Others also viewed

Explore content categories