Sat.May 02, 2020 - Fri.May 08, 2020

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Project Metamorphosis Part 1: Elastic Apache Kafka Clusters in Confluent Cloud

Confluent

A few weeks ago when we talked about our new fundraising, we also announced we’d be kicking off Project Metamorphosis. What is Project Metamorphosis? Let me try to explain. I […].

Project 124
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COVID-19: Risk Analytics for Building an Early Warning System

Teradata

Advanced analytics & AI techniques can help in curtailing the COVID-19 pandemic. This post describes an analytics prototype to build an early warning system for COVID-19.

Systems 118
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Enterprise Data Operations And Orchestration At Infoworks

Data Engineering Podcast

Summary Data management is hard at any scale, but working in the context of an enterprise organization adds even greater complexity. Infoworks is a platform built to provide a unified set of tooling for managing the full lifecycle of data in large businesses. By reducing the barrier to entry with a graphical interface for defining data transformations and analysis, it makes it easier to bring the domain experts into the process.

Hadoop 100
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Sync, Async, and (Non-)Blocking in Scala and Akka

Rock the JVM

We explore the trade-offs between three parallel coding styles in Scala and Akka: focusing on thread usage and other effects

Scala 52
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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Walmart’s Real-Time Inventory System Powered by Apache Kafka

Confluent

Consumer shopping patterns have changed drastically in the last few years. Shopping in a physical store is no longer the only way. Retail shopping experiences have evolved to include multiple […].

Systems 99
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Introducing Teradata’s Incoming CEO Steve McMillan

Teradata

Teradata's Board of Directors has selected the company's next President and Chief Executive Officer: Steve McMillan. Read more from interim President and CEO, Vic Lund.

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More Trending

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Sync, Async, and (Non-)Blocking in Scala and Akka

Rock the JVM

We explore the trade-offs between three parallel coding styles in Scala and Akka: focusing on thread usage and other effects

Scala 52
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Monitoring Confluent Platform with Datadog

Confluent

Earning customer love is a core value at Confluent, and like all relationships, listening makes the love flourish. When it comes to monitoring, we’ve heard you, and we are pleased […].

IT 88
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Automotive Industry: Navigating Post-COVID-19

Teradata

As we entered 2020, the Automotive industry was facing several challenges. The current pandemic has taken an already difficult situation to another level. Learn how data analytics can help.

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Using MongoDB Change Streams for Indexing with Elasticsearch vs Rockset

Rockset

The ability to get the changes that happen in an operational database like MongoDB and make them available for real-time applications is a core capability for many organizations. Change Data Capture (CDC) is one such approach to monitoring and capturing events in a system. Wikipedia describes CDC as “a set of software design patterns used to determine and track the data that has changed so that action can be taken using the changed data.

MongoDB 40
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Highly Available, Fault-Tolerant Pull Queries in ksqlDB

Confluent

One of the most critical aspects of any scale-out database is its availability to serve queries during partial failures. Business-critical applications require some measure of resilience to be able to […].

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Project Metamorphosis: Elastic Apache Kafka Clusters in Confluent Cloud

Confluent

A few weeks ago when we talked about our new fundraising, we also announced we’d be kicking off Project Metamorphosis. What is Project Metamorphosis? Let me try to explain. I […].

Project 64