Confluent
JUNE 25, 2019
It’s official: Apache Kafka ® 2.3 has been released! Here is a selection of some of the most interesting and important features we added in the new release. Core Kafka. KIP-351 and KIP-427: Improved monitoring for partitions which have lost replicas. In order to keep your data safe, Kafka creates several replicas of it on different brokers. Kafka will not allow writes to proceed unless the partition has a minimum number of in-sync replicas.
Data Engineering Podcast
JUNE 24, 2019
Summary Building a data platform that works equally well for data engineering and data science is a task that requires familiarity with the needs of both roles. Data engineering platforms have a strong focus on stateful execution and tasks that are strictly ordered based on dependency graphs. Data science platforms provide an environment that is conducive to rapid experimentation and iteration, with data flowing directly between stages.
Cloudera
JUNE 25, 2019
Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. How do you take a mission-critical on-premises workload and rapidly burst it to the cloud? Can you instantly auto-scale resources as demand requires and just as easily pause your work so you don’t run up your cloud bill? On June 18th, Cloudera provided an exclusive preview of these capabilities, and more, with the introduction of Cloudera Data Platform (CDP), the industry’s first enterprise data cloud.
Teradata
JUNE 25, 2019
Rob Armstrong discusses the challenges of moving from a departmental solution to operational and production systems working at scale, and how Teradata Vantage can solve for them.
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Confluent
JUNE 26, 2019
Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. I see this pattern coming up more and more in the field in conjunction with Apache Kafka ®. In these projects, microservice architectures use Kafka as an event streaming platform.
Rockset
JUNE 27, 2019
In this blog post, I'll describe how we use RocksDB at Rockset and how we tuned it to get the most performance out of it. I assume that the reader is generally familiar with how Log-Structured Merge tree based storage engines like RocksDB work. At Rockset, we want our users to be able to continuously ingest their data into Rockset with sub-second write latency and query it in 10s of milliseconds.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Teradata
JUNE 26, 2019
Oxford and Teradata partner to modernize analytics for academic research, shape new bodies of research and find answers to pressing business challenges.
Teradata
JUNE 25, 2019
Find out how Swedbank has partnered with Teradata to illuminate the customer journey, delivering answers to the business and a superior customer experience.
Teradata
JUNE 23, 2019
Learn how moving to the cloud in 10 weeks enabled Ticketmaster to gain greater visibility into their data and respond to business needs quicker.
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