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James Serra's Blog

James is a big data and data warehousing technology specialist at Microsoft. He is a thought leader in the use and application of Big Data technologies, including MPP solutions involving hybrid technologies of relational data, Hadoop, and private and public cloud. Previously he was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 30 years of IT experience. James is a popular blogger (JamesSerra.com) and speaker, having presented at dozens of PASS events including the PASS Business Analytics conference and the PASS Summit. He is the author of the book “Reporting with Microsoft SQL Server 2012”. He received a Bachelor of Science degree in Computer Engineering from the University of Nevada-Las Vegas.

Archives: August 2016

SQL Server 2016 real-time operational analytics

SQL Server 2016 introduces a very cool new feature called real-time operational analytics, which is the ability to run both analytics (OLAP) and OLTP workloads on the same database tables at the same time.  This allows you to eliminate the need for ETL and a data warehouse in some cases… Read more

2 comments, 344 reads

Posted in James Serra's Blog on 24 August 2016

Azure SQL Database new performance level

A new performance level for Azure SQL Database was recently announced, called P15.  This new offering is more than two times more powerful than the next best offering, P11.  P15 offers 4000 database transaction units (DTU) where P11 offered 1750 DTU’s.  Also, the max concurrent workers and concurrent logins increased… Read more

3 comments, 468 reads

Posted in James Serra's Blog on 17 August 2016

Azure SQL Database vs SQL Data Warehouse

I am sometimes asked to compare Azure SQL Database (SQL DB) to Azure SQL Data Warehouse (SQL DW).  The most important thing to remember is SQL DB is for OLTP (i.e. applications with individual updates, inserts, and deletes) and SQL DW is not as it’s strictly for OLAP (i.e. data… Read more

4 comments, 1,618 reads

Posted in James Serra's Blog on 10 August 2016

What is the Lambda Architecture?

Lambda architecture is a data-processing architecture designed to handle massive quantities of data (i.e. “Big Data”) by using both batch-processing and stream-processing methods.  This idea is to balance latency, throughput, scaling, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time… Read more

2 comments, 2,424 reads

Posted in James Serra's Blog on 5 August 2016