Azure

Technical Article

Azure Data Lakes

  • Article

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.

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2015-12-21

3,485 reads

External Article

Azure SQL Database - Transparent Data Encryption

  • Article

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

External Article

Choosing hash distributed table vs. round-robin distributed table in Azure SQL DW Service

  • Article

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

External Article

Azure Event Hubs

  • Article

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

External Article

Microsoft Azure Stream Analytics

  • Article

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

External Article

Cloud Storage Replication Is Not Backup

  • Article

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

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Question of the Day

Using OPENJSON

I have some data in a table that looks like this:

BeerID BeerName    brewer               beerdescription
1      Becks       Interbrew            Beck's is a German-style pilsner beer 
2      Fat Tire    New Belgium          Toasty malt, gentle sweetness, flash of fresh hop bitterness.
3      Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste
4      Alaskan Amber Alaskan Brewing     Alaskan Brewing Amber Ale is an "alt" style beer
8      Kirin       Kirin Brewing         Kirin Ichiban is a Lager-type beer
If I run this, what is returned?
select t1.key
    from openjson((select t.* FROM Beer AS t for json path)) t1

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