Sat.Jun 22, 2019 - Fri.Jun 28, 2019

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The Workflow Engine For Data Engineers And Data Scientists

Data Engineering Podcast

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.

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What’s New in Apache Kafka 2.3

Confluent

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.

Kafka 111
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What Working “at Scale” Really Means

Teradata

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.

Systems 87
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Cloudera Provides First Look at Cloudera Data Platform, the Industry’s First Enterprise Data Cloud

Cloudera

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.

Cloud 87
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15 Modern Use Cases for Enterprise Business Intelligence

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?

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How We Use RocksDB at Rockset

Rockset

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.

Bytes 40
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Microservices, Apache Kafka, and Domain-Driven Design

Confluent

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.

Kafka 109

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Designing the.NET API for Apache Kafka

Confluent

Confluent’s clients for Apache Kafka ® recently passed a major milestone—the release of version 1.0. This has been a long time in the making. Magnus Edenhill first started developing librdkafka about seven years ago, later joining Confluent in the very early days to help foster the community of Kafka users outside the Java ecosystem. Since then, the clients team has been on a mission to build a set of high-quality librdkafka bindings for different languages (initially Python , Go , and.NET

Kafka 106
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Swedbank Delivers Superior Customer Experience by Illuminating the Customer Journey

Teradata

Find out how Swedbank has partnered with Teradata to illuminate the customer journey, delivering answers to the business and a superior customer experience.

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How Moving to the Cloud Helped Craft the Ideal Fan Experience for Ticketmaster

Teradata

Learn how moving to the cloud in 10 weeks enabled Ticketmaster to gain greater visibility into their data and respond to business needs quicker.

Cloud 60