Sat.Apr 13, 2019 - Fri.Apr 19, 2019

article thumbnail

Kafka Summit New York 2019 Session Videos

Confluent

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
article thumbnail

Index Your Big Data With Pilosa For Faster Analytics

Data Engineering Podcast

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
article thumbnail

Announcing the General Availability of Cloudera Flow Management and Cloudera Edge Management

Cloudera

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

article thumbnail

How U.S. Bank Uses A.I. and Machine Learning to Deeply Personalize Your Banking Experience

Teradata

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

Banking 85
article thumbnail

Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

article thumbnail

Reshaping Entire Industries with IoT and Confluent Cloud

Confluent

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
article thumbnail

Introducing SVT-AV1: a scalable open-source AV1 framework

Netflix Tech

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 67

More Trending

article thumbnail

How to set an ideal thread pool size

Zalando Engineering

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 42
article thumbnail

Dawn of DevOps: Managing and Evolving Schemas with Confluent Control Center

Confluent

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

article thumbnail

Dawn of Kafka DevOps: Managing and Evolving Schemas with Confluent Control Center

Confluent

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