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 Database Media 100

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 102

Kafka Database Programming Systems 102

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.

Coding 66

Coding Algorithm Programming Language Manufacturing 66

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

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

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

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 85

Food Cloud Retail Kafka 85

Cloudera

APRIL 15, 2019

Last month at Strata, San Francisco, we made an announcement about two upcoming products – Cloudera Flow Management and Cloudera Edge Management. Today, we are super excited to announce that both the products are generally available for use. While Cloudera Flow Management has been eagerly awaited by our Cloudera customers for use on their existing Cloudera platform clusters, Cloudera Edge Management has generated equal buzz across the industry for the possibilities that it brings to enterp

Management 17

Management Data Ingestion Data Collection Government 17

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