10 Facts about Azure Stream Analytics

Microsoft Azure Stream Analytics is a serverless scalable complex event processing engine by Microsoft that enables users to develop and run real-time analytics on multiple streams of data from sources such as devices, sensors, web sites, social media, and other applications (wiki).

10 Facts

Stream Analytics is an event processing engine, which can ingest & analyze in real-time.
ASA can stream data from devices, sensors, websites, social media feeds, applications, and more.
Stream Analytics don't mandatory to store data, analyse data in motion as well as stored.
Stream Analytics is built on a pull-based communication mode.
Stream Analytics supports two input types, stream data and reference data. It has two source types, Azure Event Hubs and Azure Blob storage.
Process starts with a source of streaming data that is ingested into Azure Event Hub or Azure Blob Storage. We can create a job that specifies the input source that streams data.
The job also specifies a transformation query which is SQL-like query language that is used to filter, sort, aggregate, and join streaming.
After analyzing the incoming data, we can transform data to a monitored queue to trigger custom workflows downstream, Power BI dashboard for real-time visualization or other Azure storage services.
Stream Analytics can handle up to 1 GB of incoming data per second.
As a managed service, Stream Analytics helps prevent data loss and provides business continuity.

Comments

How to encrypt and decrypt Table data in postgres

For encrypting and decrypting , we must use the bytea data type on the column which we implement. Bcoz bytea will use the pgcrypto method by default. However, you will need to create the pgcrypto extension to enable these functions as they are not pre-defined in PostgreSQL/PPAS. Example CREATE EXTENSION pgcrypto; CREATE TABLE userinfo (username varchar(20), password bytea); >> Inserting the data in an encrypted format INSERT INTO userinfo VALUES(' suman ',encrypt('111222','password','aes')); select * from userinfo ; >> Retrieving the data as decrypted format SELECT decrypt(password,decode('password','escape'::text),'aes'::text) FROM userinfo; Thanks for reading Plz dont forget to like Facebook Page.. https://www.facebook.com/pages/Sql-DBAcoin/523110684456757

How to recover msdb database from suspect mode

It was Monday 9 th Jun 47 degr. temperature of Delhi-NCR. Temperature was like boiling me and database. When I reached my office( @ 8.45 am) got an alert from one of Server. “MSDB is in suspected mode” At the same time comes in my mind, this issue will boil me today.. I just tried to cool my self through cold drink then connected server from my local system using windows authentication mode..

History of MySQL from AB Corp to Cloud Database

MySQL was created by a Swedish company, MySQL AB, founded by David Axmark, Allan Larsson and Michael "Monty" Widenius. Original development of MySQL by Widenius and Axmark began in 1994. The first version of MySQL appeared on 23 May 1995. Its name is a combination of "My", the name of co-founder Michael Widenius's daughter,and "SQL", the abbreviation for Structured Query Language. · 23 May 1995 - First internal release · Year 1996 - Version 3 o Simple CRUD operations o January 1997 Windows version was released on 8 January 1998 for Windows 95 and NT o production release 1998, from www.mysql.com · Year 2002 - Version 4 o MyISAM o unions o Tracking o B-trees o s...

The Young DBA

Search This Blog