The Data-lake is basically a large repository of data for 'big data' analytic workloads, held in its original format. The Azure Data Lake adds Data Lake Analytics, and Azure HDInsight. Although the tools are there for Big Data Analysis, it will require new skills to use, and a heightened attention to Data Governance if it is to appeal to the average enterprise. Rob Sheldon takes a look.
2015-12-21
3,485 reads
The SQL Server Luxembourg User Group invites you to join us at our next event, where Pieter Vanhove from Microsoft will be presenting a double bill: Microsoft Azure SQL Database at Your Service and Run Your DBA Morning Checklist with Policy-Based Management.
2015-11-26
429 reads
Transparent Data Encryption offers the ability to encrypt content of the database, its transaction logs, as well as backups while at rest. Encryption and decryption are performed in real-time, at the individual page level, as the database is being written to and read from storage, without necessitating changes to applications accessing their data. Marcin Policht reviews the feature.
2015-11-24
4,471 reads
A new series to take you through the basics of how to get started using Azure as your own personal lab.
2015-11-03
2,975 reads
Designing databases to use distributed tables effectively will help you to achieve the storage and query processing benefits of the Azure SQL DW Service (SQL DW). In this article, Murshed Zaman explains the various Azure SQL Data Warehouse distributed table types, and offers guidance for choosing the type of distributed table to use and when to use it.
2015-08-31
2,130 reads
If you need to receive and process a large volume of of packets of data, such as telemetry, or event-log items, it may be worth considering Azure Event hubs. They aren't like traditional messaging but represent more of a stripped down one-way event processing system for large volumes of data. It could represent a good solution to an ever-present problem, but is it ready for production use? Rob Sheldon investigates.
2015-07-22
3,382 reads
Azure Stream Analytics aims to extract knowledge structures from continuous ordered streams of data by real-time analysis. It provides a ready-made solution to the business requirement to react very quickly to changes in data and handle large volumes of information. Robert Sheldon explains its significance.
2015-06-25
3,380 reads
In this article, Tim Smith goes through a couple of options to automate heartbeat checks against Azure databases. This is useful if you're moved SQL Server databases to Azure and you want to have periodic checks to make sure the databases are responsive.
2015-06-17
2,129 reads
The options that you need to select when setting up an Azure Storage service account allow you to specify the durability and high-availability of your data, but they don't provide for data recovery to a point-in-time. In fact, it means that some of the bad things that can happen to data are more efficiently replicated to all copies. Backup is quite a separate issue.
2015-02-27
8,864 reads
In this tip we will look at two different ways of creating an HDInsight Cluster: Creating an HDInsight Cluster through Azure Management Portal, and creating an HDInsight Cluster through Windows Azure PowerShell.
2015-01-01
6,840 reads
By Steve Jones
on tenderhooks – adj. feeling the primal satisfaction of being needed by someone, which...
By DataOnWheels
I have been active in the data community throughout my career. I have met...
By Vinay Thakur
Quick Summary for Microsoft SQL Server till 2025, I am fortunate to be part...
hi, in an ssis for each loop over an object variable called MyListVariable, i...
SQL Server is typically viewed as a transactional or analytical database engine. However, it...
Hello, Is there a way in Azure SQL Database to change the 'Blocking Process...
On SQL Server 2025, when I run this, what is returned?
SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL') See possible answers