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data

A collection of 164 issues

Building a Data Platform on AWS from Scratch: Part 1

The CIO of a Chicago-based global consultancy contacted SPR to build out a data platform. While the core platform was to be built by the corporate IT organization run by the CIO, the goal was that this platform would be used by other organizations outside corporate IT as well to

Media Query Source: Part 24

The responses I provided to a media outlet on January 30, 2020: Media: We hear a lot about data transformation these days and most companies are going through some stage of data transformation. Since data tends to be the domain of the IT group, it can be easy to assume

Media Query Source: Part 22 - TechTarget (US digital magazine); AWS data lake & data warehouse options for the cloud

* TechTarget (US digital magazine) * AWS data lake & data warehouse options * Lake Formation, Glue & Redshift (Spectrum) * Use cases should drive product adoption My responses ended up being included in an article at TechTarget (November 14, 2019). Extent of verbatim quote highlighted in orange, paraphrased quote highlighted in gray. Above

New Book Review: Evolving Data Infrastructure

New book review for Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI, by Ben Lorica and Paco Nathan, O'Reilly, 2019: Copy provided by O'Reilly. This text is all about O'Reilly's investigation into understanding how firms are making use

Media Query Source: Part 18

The responses I provided to a media outlet on August 30, 2019: Media: Hadoop hasn't lived up to its early promise, and the fire sale of MapR to HPE earlier this month is the latest sign of that. What's next, then, for big data? Can Hadoop

New Book Review: Machine Learning at Enterprise Scale

New book review for Machine Learning at Enterprise Scale: How Real Practitioners Handle Six Common Challenges, by Piero Cinquegrana and Matheen Raza, O'Reilly, 2019, reposted here: Copy provided by Qubole. This freely available O'Reilly text discusses six common challenges the authors have identified with respect to

Implementing Databricks for Data Science and Engineering Teams: Part 2

This post is the second part of a soon to be published case study I wrote about a recent client project implementing Azure Databricks with my team for data science and engineering teams (the first part can be found here). The analytics arm of a large midwestern U.S. insurance

Amazon re:MARS 2019 Day 2-4 (June 5-7, 2019)

Amazon re:MARS 2019 Aria Resort & Casino Day 2-4 (June 5-7, 2019) From the promotional materials: KEY2: Opening remarks & Innovation Spotlights (Day 2 / 9:00am – 11:30am) Amazon keynote led by Jeff Wilke, CEO of Worldwide Consumer. Keynote to include Innovation Spotlight talks by: 1) Tom Soderstrom, IT

Amazon re:MARS 2019 Day 1 (June 4, 2019)

Amazon re:MARS 2019 Aria Resort & Casino Day 1 (June 4, 2019) From the promotional materials: KEY1: Opening remarks & Innovation Spotlights (5:30pm – 6:30pm) Opening remarks by Dave Limp, SVP Amazon Devices and Services. Keynote to include innovation spotlights talks by (1) Marc Raibert, CEO, Boston Dynamics,

Implementing Databricks for Data Science and Engineering Teams: Part 1

A case study I wrote about a recent client project implementing Azure Databricks for data science and engineering teams was recently published (April 9, 2019). This write-up is the first of a two part series covering the first half of a client engagement with my team. (The original post can