Data Engineering Podcast

APRIL 15, 2019

Summary Database indexes are critical to ensure fast lookups of your data, but they are inherently tied to the database engine. Pilosa is rewriting that equation by providing a flexible, scalable, performant engine for building an index of your data to enable high-speed aggregate analysis. In this episode Seebs explains how Pilosa fits in the broader data landscape, how it is architected, and how you can start using it for your own analysis.

Big Data 100

Big Data Relational Database Media Database 100

Confluent

APRIL 18, 2019

While the current hype around the Internet of Things (IoT) focuses on smart “things”—smart homes, smart cars, smart watches—the first known IoT device was a simple Coca-Cola vending machine at Carnegie Mellon University in Pittsburgh. Students in the 1980s, tired of long walks to an empty machine, installed a board that tracked the machine’s sensors to determine whether the machine was stocked and the bottles were cold.

Food 83

Food Cloud Retail Kafka 83

Teradata

APRIL 15, 2019

Katherine Knowles-Marchione explains how US. Bank is using AI to improve and personalize the banking experience.

Banking 85

Banking Machine Learning 85

Netflix Tech

APRIL 17, 2019

by Andrey Norkin, Joel Sole, Kyle Swanson, Mariana Afonso, Anush Moorthy, Anne Aaron Netflix Headquarters, Winchester Circle. Netflix headquarters circa 2014. It’s a nice building with good architecture! This was the primary home of Netflix for a number of years during the company’s growth, but at some point Netflix had outgrown its home and needed more space.

Algorithm 66

Algorithm Coding Programming Language Manufacturing 66

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Domino Data Lab: Data Engineering

APRIL 17, 2019

Special thanks to Addison-Wesley Professional for permission to excerpt the following "Software Architecture" chapter from the book, Machine Learning in Production. This chapter excerpt provides data scientists with insights and tradeoffs to consider when moving machine learning models to production. Also, if you’re interested in learning about how Domino provides an API endpoint for your model, check out this video tutorial on the Domino Support site.

Machine Learning 52

Machine Learning Architecture Data Data Engineering 52

Zalando Engineering

APRIL 17, 2019

We all know that thread creation in Java is not free. The actual overhead varies across platforms, but thread creation takes time, introducing latency into request processing, and requires some processing activity by the JVM and OS. This is where the Thread Pool comes to the rescue. The thread pool reuses previously created threads to execute current tasks and offers a solution to the problem of thread cycle overhead and resource thrashing.

Java 45

Java Utilities Database Systems 45

Confluent

APRIL 16, 2019

It seems like there’s a Kafka Summit every other month. Of course there’s not—it’s every fourth month—but hey, close enough. We now have the Kafka Summit New York in the books, and the session videos are available in record time. As I usually do, let me break the event down for you. We planned the New York event to be a bit smaller than last fall’s flagship San Francisco Summit.

Kafka 101

Kafka Database Programming Systems 101

Confluent

APRIL 17, 2019

As we announced in Introducing Confluent Platform 5.2 , the latest release introduces many new features that enable you to build contextual event-driven applications. In particular, the management and monitoring capabilities that we added to Confluent Control Center have evolved it into an indispensable tool for anyone working with Apache Kafka ®. With the Developer License , all of the Confluent Platform features are free of charge for an indefinite duration in a non-production environment with

Management 75

Management Kafka Java Building 75

Confluent

APRIL 17, 2019

As we announced in Introducing Confluent Platform 5.2 , the latest release introduces many new features that enable you to build contextual event-driven applications. In particular, the management and monitoring capabilities that we added to Confluent Control Center have evolved it into an indispensable tool for anyone working with Apache Kafka ®. With the Developer License , all of the Confluent Platform features are free of charge for an indefinite duration in a non-production environment with

Kafka 40

Kafka Management Java Building 40