Hands-on Learning Event in Honolulu 1 : Introduction to Structured Query Language

Database skills are essential in whatever organization and in whatever position and it is crucial that you have this in your arsenal (Resume')

Databases, organized repositories of information, have become indispensable in today's world. In this introductory course you will learn about relational databases and the basics of Structured Query Language (SQL) including sorting; grouping result sets; using DDL, DML, DCL, and TCL. All SQL statements will initially be written for one table. Most practical, modern and relational databases will include a large number of tables and SQL queries have to access information from several tables. This course will introduce you to querying more than one table. With this skill you will be able to query two or more tables in a database.

This is a hands-on course which will take you from installing SQL Server 2016 to learning the ins and outs of SQL Server Management Studio and of course a full dose of SQL. The course covers most of the requirements to take Microsoft's certification (98-364), the Microsoft Technology Associate. During each meeting, you will be assessed for your knowledge, competency and proficiency in SQL.

What's new in this session

• SQL Server Using Powershell 
• JSON and XML

The class runs from Feb 6 to March 13 at Honolulu Community College.
(Register Online)

Feb 6 - March 13; TTH: 5:30 pm to 7:30 pm; 10 Mtgs

Microsoft Azure expands storage options with Azure Data Lake

Recently announced Azure Data Lake addresses the big data  3V challenges; volume, velocity and variety. It is one more storage feature in addition to blobs and SQL Azure database. Azure Data Lake (should have been Azure Data Ocean IMHO) is really omnipotent. Just look at the key capabilities of Azure Data Lake:

Any Data
Native format, distributed data store. No need to pre-define schema information. From unstructured to structured data handling.

Any Size
Kilo bytes to Exa bytes OK. Ready for read/write.

At any scale
Scale to match your needs; high volume data handling of small writes and low latency. Can Aaddress near real-time web analytics scenarios.

HDFS Compatible
Works out-of-the box with Hadoop including services such as HD Insight

Full integration with Azure Active Directory
Supporting identity and access management over all of the data.

Azure Data Lake Store  is therefore a hyper-scale HDFS repositiory designed specifically for big data analytics in the cloud. It is order made for IoT and thorughput-intensive analytics for high volume data.

Read more here.
The graphic is from a  Microsoft Technet site
I checked out the preview portal (https://portal.azure.com/), I do not see it. Possible by the end of the year.

Running queries against both structured and unstructured data

It is a Microsoft Data tool. It simplifies management of relational and non-relational data with the ability to query both.

With enormous amount of data that is unstructured that grows bigger each day and structured data both archived and live, a single querying technology is most desired. SQL Server has geared up with a new tool, the Polybase.

You want to query non-relational data. Do you modify it and bring it into SQL Server which is relational and then query it? Or do you buy another product to query non-relational data (like data in Hadoop, blobs and files)?

Well Polybase provides the capability to query non-relational data in-situ using the SQL Server using T-SQL. You need not move the data over to SQL Server although SQL Server gives the option to store in SQL Server if you want to do so. Polybase is supported out of the box in SQL Server 2016 CTP2 which means it will be available in SQL Server 2016.

Polybase was not supported out of the box in earlier version. Of course Polybase can process the queries whether it is on the premises or in the cloud.

Here is a rough schematic of what it is about.