Data Engineering Podcast

JUNE 24, 2018

Summary Collaboration, distribution, and installation of software projects is largely a solved problem, but the same cannot be said of data. Every data team has a bespoke means of sharing data sets, versioning them, tracking related metadata and changes, and publishing them for use in the software systems that rely on them. The CEO and founder of Quilt Data, Kevin Moore, was sufficiently frustrated by this problem to create a platform that attempts to be the means by which data can be as collabo

Management 100

Management PostgreSQL Scala Programming Language 100

Uber Engineering

JUNE 28, 2018

Computing frameworks like Apache Spark have been widely adopted to build large-scale data applications. For Uber, data is at the heart of strategic decision-making and product development. To help us better leverage this data, we manage massive deployments of Spark … The post JVM Profiler: An Open Source Tool for Tracing Distributed JVM Applications at Scale appeared first on Uber Engineering Blog.

Engineering 94

Engineering Building Management Data 94

Cloudera

JUNE 29, 2018

Over the past decade, Cloudera University has taught more than 50,000 developers, administrators, analysts, and data scientists how to apply big data technologies. Developers are learning the APIs, so they can create new applications that were never before possible. Administrators learn to plan, install, monitor, and troubleshoot clusters. And analysts discover the power of SQL over large, diverse datasets.

Hadoop 43

Hadoop Datasets Big Data SQL 43

Zalando Engineering

JUNE 27, 2018

The evolution and future of open source at Zalando Open source software has been the core of Zalando’s tech stack since the company’s humble beginnings, selling flip-flops from a basement 10 years ago; it’s part of our DNA as a tech company. For engineering teams at Zalando, open source is a natural part of how we solve problems, we consult and share the TechRadar for guidance on appropriate technologies to use, we contribute to projects such as Kubernetes , and work in the open on a very large

Recruitment 40

Recruitment Consulting Project Technology 40

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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?

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