END-OF-WEEK DATA READS (9/28/2019)

You know the drill – grab a coffee or tea and settle in for these weekend data reads.


  • An AI learned to play hide-and-seek. The strategies it came up with on its own were astounding (Vox)
  • Amazon Redshift announces automatic workload management and query priorities (AWS Blog)
  • The billion-dollar race to change how drugs are made (Fast Company)
  • You’re very easy to track down, even when your data has been anonymized (MIT Technology Review)
  • Comparing Database Types: How Database Types Evolved to Meet Different Needs (Prisma)

Imply.io and Ternary Data Team Up To Guide Companies On The Data River, And Make Real Time Analytics A Reality

Imply.io and Ternary Data have teamed up to help companies win with real time analytics. While streaming solutions have been around for a while, true real time analytics is incredibly difficult or impossible to do with traditional data technologies like data lakes and data warehouses. And while some solutions such as Cassandra and HBase handle real time transactions, they don’t necessarily work great for OLAP purposes.

Enter Imply. Based on Apache Druid (Imply is a core contributor of Druid), Imply offers security, alerting, and a full fledged analytics dashboard out of the box. Imply is amazing.

Ternary only works with best of breed data technologies, and we feel that Imply offers the absolute best solution when it comes to true real time analytics. Simply hook up your real time stream from Kafka, Kinesis, or another message bus, and start getting value from Imply’s real time analytics. Nothing else comes close.

What the heck is a data river? And haven’t we just started figuring out the data lake? While data lakes are great for batch data, the data river is a new paradigm that points to where the world is moving – real time streaming data. When you get down to it, a lot of data is simply a continuous stream. And data without analytics is…just data.

With the new partnership between Imply and Ternary, companies can now take their journey on the data river. Stop futzing around with substandard, duct-taped systems for your “real time” analytics. For a free trial of Imply, contact us today.

END-OF-WEEK DATA READS (9/21/2019)

Enjoy the Fall weather. But if you’re indoors, check out these data reads.


  • Software engineering for machine learning: a case study (Adrian Coyler)
  • Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data (Arxiv)
  • Is Serverless really as cheap as everyone claims? (Dev)
  • How Backpropagation Works ( Youtube – Brandon Rohrer)
  • 5 things I have learned from investing in AI First Startups. (John Spindler)

END-OF-WEEK DATA READS (9/14/2019)

It’s that time of the week again. Enjoy the early Fall weather. And when you’re bored or want to stretch your mind, check out these data reads.


  • Interesting Data Papers (GitHub)
  • What happened to Hadoop (Architecht)
  • Refactoring to Amazon DynamoDB (AWS Blog)
  • Working with Qubole to tackle the challenges of machine learning at an enterprise scale (Google Cloud Blog)
  • Apache Druid helps Zeotap Master Multi-Channel Attribution at Scale (Imply.io)
  • What’s next for the popular programming language R? (Quartz)