As part of the Secrets of Data Analytics Leaders by the Eckerson Group, I did a 30-minute podcast with Wayne Eckerson where I discussed myths of modern data management. Some of the myths discussed include ‘all you need is a data lake’, ‘the … Continue reading →
As a follow-up to my blog Is the traditional data warehouse dead?, I did a webinar on that very topic for the Agile Big Data Processing Summit. The deck is here and the webinar is below:
Continue reading →As a follow-up to my blog Is the traditional data warehouse dead?, I will be doing a webinar on that very topic tomorrow (March 27th) at 11am EST for the Agile Big Data Processing Summit that I hope you can join. Details … Continue reading →
Microsoft has announced the public preview of Azure SQL Database Managed Instance. I blogged about this before. This will lead to a title wave of on-prem SQL Server database migrations to the cloud. In summary: Managed Instance is an expansion … Continue reading →
There is no better way to see the art of the possible with the cloud than in use cases/customer stories and sample solutions/architectures. Many of these are domain-specific which resonates best with the business decision makers: Use cases/customer stories Microsoft IoT … Continue reading →
I frequently present at user groups, and always try to create a brand new presentation to keep things interesting. We all know technology changes so quickly so there is no shortage of topics! There is a list of all my presentations with … Continue reading →
The Azure Data Architecture Guide has just been released! Check it out: http://aka.ms/ADAG Think of it as a menu or syllabus for data professionals. What service should you use, why, and when would you use it. I had a small involvement … Continue reading →
In this podcast I talk with Mike Rabinovici of Dimodelo Solutions about data being the new currency, the importance of showing customers the art of the possible, and last but not least my go to TV show. Click here to listen. Also … Continue reading →
I have blogged about Data Virtualization vs Data Warehouse and wanted to blog on a similar topic: Data Virtualization vs. Data Movement. Data virtualization integrates data from disparate sources, locations and formats, without replicating or moving the data, to create a single … Continue reading →
As I mentioned in my recent blog Use cases of various products for a big data cloud solution, with so many products it can be difficult to know the best products to use when building a solution. When it comes to … Continue reading →
There have been a number of enhancements to Hadoop recently when it comes to fast interactive querying with such products as Hive LLAP and Spark SQL which are being used over slower interactive querying options such as Tez/Yarn and batch … Continue reading →
Azure Databricks (documentation and user guide) was announced at Microsoft Connect, and with this post I’ll try to explain its use case. At a high level, think of it as a tool for curating and processing massive amounts of data and … Continue reading →
Microsoft Connect(); is a developer event from Nov 15-17, where plenty of announcements are made. Here is a summary of the data platform related announcements: Azure Databricks: In preview, this is a fast, easy, and collaborative Apache Spark based analytics platform optimized … Continue reading →
Better late than never: The Analytics Platform System (APS), which is a renaming of the Parallel Data Warehouse (PDW), released an appliance update (AU6) about a year ago, and I missed the announcement. Below is what is new in this release, also called … Continue reading →
Azure SQL Database Managed Instance is a new flavor of Azure SQL Database that is a game changer. It offers near-complete SQL Server compatibility and network isolation to easily lift and shift databases to Azure (you can literally backup an … Continue reading →
There were so many good presentations at Microsoft Ignite, all of which can be viewed on-demand. I wanted to list the big data related presentations that I found the most useful. It’s a lot of stuff to watch and with … Continue reading →
There are a tremendous amount of Microsoft products that are cloud-based for building big data solutions. It’s great that there are so many products to choose from, but it does lead to confusion on what are the best products to … Continue reading →
I just uploaded a new presentation called “What’s new in SQL Server 2017”. It covers all the new features in SQL Server 2017 (which went GA this past Monday), as well as details on upgrading and migrating to SQL Server … Continue reading →
Many product announcements were made this week at Microsoft Ignite, and I wanted to give a quick overview of all the data platform related announcements: SQL Server 2017 on Linux, Windows, and Docker, generally available on October 2nd. SQL Server … Continue reading →
In SQL Server, scaling out reads (i.e. using Active secondary replicas via AlwaysOn Availability Groups) is a lot easier than scaling out writes. So what are your options when you have a tremendous amount of writes that scaling up will not handle, … Continue reading →