Enabling enterprise-wide data analytics
Performing business analytics on the data lake using next-gen open source tools.
Ideas and resources related to data tools.
Ideas
Data science gophers
Python and R are widely accepted as logical languages for data science—but what about Go?
Analysis without boundaries
Apache Arrow makes it possible to use multiple languages and heterogeneous data infrastructure.
Why you need another database
An analytics database can offer performance and scalability advantages.
5 mistakes to avoid when deploying an analytical database
Leading data-driven organizations point out five common pitfalls.
Spark comparison: AWS vs. GCP
Assessing cost, performance, and run time of a typical Spark workload.
Learning
Runnable code
Capturing semantic meanings using deep learning
Word embedding in natural language processing.
Runnable code
Extend structured streaming for Spark ML
Early methods to integrate machine learning using Naive Bayes and custom sinks.
Runnable code
O'Reilly Online Training: SQL Fundamentals for Data
October 4-5, 2016, join Thomas Nield for a hands-on course for beginners on core database and SQL fundamentals.