Data Engineering Podcast
FEBRUARY 11, 2019
Summary Machine learning is a class of technologies that promise to revolutionize business. Unfortunately, it can be difficult to identify and execute on ways that it can be used in large companies. Kevin Dewalt founded Prolego to help Fortune 500 companies build, launch, and maintain their first machine learning projects so that they can remain competitive in our landscape of constant change.
Netflix Tech
FEBRUARY 11, 2019
George Abraham , Devika Chawla , Chris Beaumont , and Daniel Huang. Thoughtful, relevant, and timely messaging is an integral part of a customer’s Netflix experience. The Netflix Messaging Engineering team builds the platform and the messages to communicate with Netflix customers. Messages in the Netflix App In-app messages at Netflix fall broadly into two channels?
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Cloudera
FEBRUARY 11, 2019
The Magic Quadrant (MQ) is an established, widely-referenced series of research reports published by the analyst firm Gartner, Inc. The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. A total of 19 vendors satisfied Gartner’s extensive inclusion criteria for insertion in this year’s MQ DMSA report.
Teradata
FEBRUARY 11, 2019
In her blog, Carrie Ballinger discusses parallelism and how you can fashion it to specific needs by using the new sparse map capability
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Pandora Engineering
FEBRUARY 11, 2019
Code creates interfaces. But code itself is also an interface.
Confluent
FEBRUARY 13, 2019
Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. Once settled on the event streaming approach, I’ll provide a high-level dataflow of how we design systems for payment processing at scale using this approach.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Teradata
FEBRUARY 13, 2019
Tom Casey explains lessons from the Apollo 13 program and how they can be applied to day to day dealings in the analytics world.
Zalando Engineering
FEBRUARY 13, 2019
Typescript is becoming more and more popular. As with everything, there are good and bad sides. How good it is depends on your usage on your application. This article will not discuss the good and bad sides of Typescript but some best practices, which will help for some cases to get the best out of Typescript. 1. Strict configuration Strict configuration should be mandatory and enabled by default, as there is not much value using Typescript without these settings.
Confluent
FEBRUARY 12, 2019
One of the most common integrations that people want to do with Apache Kafka ® is getting data in from a database. That is because relational databases are a rich source of events. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. From there these events can be used to drive applications, be streamed to other data stores such as search replicas or caches and streamed to storage for analytics.
Cloudera
FEBRUARY 14, 2019
Today we are proud to announce our support for ADLS Gen2 as it enters general availability on Microsoft Azure. CDH 6.1 already includes support for MapReduce and Spark jobs, Hive and Impala queries, and Oozie workflows on ADLS Gen2. The Cloudera platform delivers a one-stop shop that allows you to store any kind of data, process and analyze it in many different ways in a single environment, and integrate with the rest of your data infrastructure.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
Rockset
FEBRUARY 13, 2019
I first met with the Rockset team when they were just four people in a small office in San Francisco. I was taken aback by their experience and friendliness, but most importantly, their willingness to spend a lot of time mentoring me. I knew very little about Rockset's technologies and didn’t know what to expect from such an agile early-stage startup, but decided to join the team for a summer internship anyway.
Cloudera
FEBRUARY 13, 2019
When Cloudera was formed about 10 years ago, the founders believed that companies would jump at the chance to store, manage, and analyze their data in the cloud. Thus, they came up with the name Cloudera, which was a play on “era of cloud.” But, much to their surprise, companies weren’t ready for cloud; they were more focused with on-prem. So, Cloudera focused on helping companies with storing, managing, and analyzing data on-prem.
Cloudera
FEBRUARY 11, 2019
Ask a CIO where their focus lies and ‘digital transformation’ as well as ‘growth’ will come into the conversation quite quickly. The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer).
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