There are a number of options to monitor Azure SQL Database. In this post I will briefly cover the built-in options and not 3rd-party products that I blogged about a while back (see Azure SQL Database monitoring). Monitoring keeps you alert … Continue reading →
Big news! The next generation of Azure Data Lake Store (ADLS) has arrived. See the official announcement. In short, ADLS Gen2 is the combination of the current ADLS (now called Gen1) and Blob storage. Gen2 is built on Blob storage. By … Continue reading →
The Analytics Platform System (APS), which is a renaming of the Parallel Data Warehouse (PDW), has just released an appliance update (AU7), which is sort of like a service pack, except that it includes many new features. Below is what is new in this release: Customers … Continue reading →
Cosmos DB is an awesome product that is mainly used for large-scale OLTP solutions. Any web, mobile, gaming, and IoT application that needs to handle massive amounts of data, reads, and writes at a globally distributed scale with near-real response times for … Continue reading →
There are times when you need to create a “quick and dirty” solution to build a report. This blog will show you one way of using a few Azure products to accomplish that. This should not be viewed as a … Continue reading →
Another Microsoft event and another bunch of exciting announcements. At the Microsoft Build event this week, the major announcements in the data platform space were: Multi-master at global scale with Azure Cosmos DB. Perform writes on containers of data (for example, collections, … Continue reading →
Monday was announced the general availability of the Compute Optimized Gen2 tier of Azure SQL Data Warehouse. With this performance optimized tier, Microsoft is dramatically accelerating query performance and concurrency. The changes in Azure SQL DW Compute Optimized Gen2 tier are: 5x query … Continue reading →
In this podcast I talk with Carlos Chacon of SQL Data Partners on big data solutions in the cloud. Here is the description of the chat: Big Data. Do you have big data? What does that even mean? In this episode … Continue reading →
I often hear people say moving to the cloud does not save money, but frequently they don’t take into account the savings for indirect costs that are hard to measure (or the benefits you get that are simply not cost-related). … Continue reading →
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 →