MLflow: A platform for managing the machine learning lifecycle
An overview of the challenges MLflow tackles and a primer on how to get started.
Ideas and resources related to data tools.
Ideas
From big data to fast data
Designing application architectures for real-time decisions.
How to search in the MarkLogic database
There are advantages to having a search engine built into a database.
Bringing interactive BI to big data
A look at Apache Kylin’s architecture and features in version 2.0.
Geospatial data and analysis for disaster relief
Tools from maps to drones respond to crises with increasing speed and accuracy.
Understanding projections with spatial and geo data
Transform your basemaps using CARTO and PostGIS.
Learning
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Extend Spark ML for your own model/transformer types
How to use the wordcount example as a starting point (and you thought you’d escape the wordcount example).
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A new visualization to beautifully explore correlations
Introducing the solar correlation map, and how to easily create your own.
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A guide to Elasticsearch 5.0 and the ELK/Elastic Stack
Learn how to ship, parse, store, and analyze logs.
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Capturing semantic meanings using deep learning
Word embedding in natural language processing.
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Extend structured streaming for Spark ML
Early methods to integrate machine learning using Naive Bayes and custom sinks.
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O'Reilly Online Training: Managing Enterprise Data Strategies with Hadoop, Spark, and Kafka
In two online sessions October 18-19, 2016, Jesse Anderson will show you how to recognize opportunities, avoid problems, and get the most value from your data.