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Log Buffer #500: A Carnival of the Vanities for DBAs

Posted in: Log Buffer, Technical Track

As the festive season starts, bloggers across Oracle, SQL Server, and MySQL have been producing some sparkling blog posts. This Log Buffer Edition highlights a few of them this week.

Oracle:

Spencer McGhin blogs about Python for Analytics – Exploring Data with Pandas.

Say writes on Automated Deployment to SOA Cloud Services using Developer Cloud Services.

Kent Graziano gets an early Christmas as newest version of Oracle (#SQLDev) SQL Developer Data Modeler (SDDM) is ready for download!

Ben discusses Oracle SINH, COSH, and TANH Functions with Examples.

According to Connor, there is a 12.2 treat for the festive season.

SQL Server:

The easiest way of explaining how a DevOps approach to database deployment can dramatically speed up the process is to use the term ‘shift-left’.

SQL Server 2016 Enterprise Edition Performance Advantages

Virtual machines are easier to manage via PowerShell than with the the Hyper-V Manager console. PowerShell Direct takes this further by allowing you to interact easily with the virtual machines on the Hyper-V host without needing network access.

Mission critical features in SQL Server 2016

10 Ways to Save Money and Provide Comprehensive High Availability for SQL Server

MySQL:

You are a DBA working hard to keep all the databases running so your staff can enter key data.

On Databases, Temporal Datatypes and Trains

MySQL on AWS: RDS vs EC2

JSON and MySQL Stored Procedures

Online schema change for MySQL & MariaDB – comparing GitHub’s gh-ost vs pt-online-schema-change

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About the Author

I have been in love with Oracle blogging since 2007. This blogging, coupled with extensive participation in Oracle forums, plus Oracle related speaking engagements, various Oracle certifications, teaching, and working in the trenches with Oracle technologies has enabled me to receive the Oracle ACE award. I was the first ever Pakistani to get that award. From Oracle Open World SF to Foresight 20:20 Perth. I have been expressing my love for Exadata. For the last few years, I am loving the data at Pythian, and proudly writing their log buffer carnivals.

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