June 26, 2019
From JSON support to the Spider storage engine, look to these MySQL and MariaDB features to boost your modern apps Read more â¶
Time series analysis: A simple example with KNIME and Spark
The best new features in Python 3.8
Whatâs new in TensorFlow 2.0
10 new tricks your old database can do
How to calculate month-over-month changes in R
Explore best practices for protecting the data in a hybrid data center using NetVault Backup and the Microsoft Azure cloud. Read more â¶
Train and evaluate a simple time series model using a random forest of regression trees and the NYC Yellow taxi data set Read more â¶
DEALPOST
Fill out forms, add signatures, and more with this innovative tool. Primary Site: Infoworld Read more â¶
From a powerful new assignment syntax to under-the-hood overhauls, Python 3.8 steps toward a more modern Python codebase Read more â¶
Googleâs TensorFlow 2.0 is now available in beta, with a focus on improving performance, ease, compatibility, and continuity Read more â¶
You might be surprised by the powerful âNoSQLâ features lurking in your old Oracle, SQL Server, MySQL, or PostgreSQL database Read more â¶
See how to generate weekly and monthly reports in R including month-over-month, week-over-week, and year-over-year changes Read more â¶
A proactive approach to infrastructure optimization and protection to mitigate the risk of business disruption. Read more â¶
