Simon Späti

NOVEMBER 23, 2018

Are you on the lookout for a replacement for the Microsoft Analysis Cubes, are you looking for a big data OLAP system that scales ad libitum, do you want to have your analytics updated even real-time? In this blog, I want to show you possible solutions that are ready for the future and fits into existing data architecture. What is OLAP? OLAP is an acronym for Online Analytical Processing.

Big Data 130

Big Data Data Architecture Architecture Systems 130

Data Engineering Podcast

NOVEMBER 18, 2018

Summary Modern applications and data platforms aspire to process events and data in real time at scale and with low latency. Apache Flink is a true stream processing engine with an impressive set of capabilities for stateful computation at scale. In this episode Fabian Hueske, one of the original authors, explains how Flink is architected, how it is being used to power some of the world’s largest businesses, where it sits in the lanscape of stream processing tools, and how you can start us

Process 100

Process Scala Google Cloud Kafka 100

Uber Engineering

NOVEMBER 20, 2018

Uber’s software architectures consists of thousands of microservices that empower teams to iterate quickly and support our company’s global growth. These microservices support a variety of solutions, such as mobile applications, internal and infrastructure services, and products along with complex … The post Observability at Scale: Building Uber’s Alerting Ecosystem appeared first on Uber Engineering Blog.

Building 111

Building Architecture Engineering 111

Domino Data Lab: Data Engineering

NOVEMBER 18, 2018

This blog post includes candid insights about addressing tension points that arise when people collaborate on developing and deploying models. Domino’s Head of Content sat down with Don Miner and Marshall Presser to discuss the state of collaboration between data science and data engineering. The blog post provides distilled insights, audio clips, excerpted quotes as well as the full audio and written transcript.

Data Science 52

Data Science Data Engineering Data Engineer Engineering 52

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Cloudera

NOVEMBER 20, 2018

For the fourth time in the past five years, Cloudera has been named to Deloitte’s Technology Fast 500 as one of the fastest growing companies in North America. This annual ranking showcases the growth of companies in the technology, media, telecommunications, life sciences, and energy tech sectors. This year’s list demonstrated the power of combining breakthrough research and development, entrepreneurship and rapid growth, with software companies like Cloudera making up nearly two-thirds of the

Telecommunication 41

Telecommunication Media Cloud Technology 41

Zalando Engineering

NOVEMBER 21, 2018

Open sourcing machine learning research for natural language processing (NLP) Two years ago, Zalando Research launched with a clear purpose to ensure that Zalando Tech is at the forefront of research in the areas of data science, machine learning, natural language processing and artificial intelligence. Our researchers’ work previously focused mainly within Zalando.

Deep Learning 40

Deep Learning Machine Learning Datasets Data Science 40