Uber Engineering
MAY 14, 2019
Uber operates on a global scale across more than 600 cities, with our apps relying entirely on wireless connectivity from over 4,500 mobile carriers. To deliver the real-time performance expected from Uber’s users, our mobile apps require low-latency and highly … The post Employing QUIC Protocol to Optimize Uber’s App Performance appeared first on Uber Engineering Blog.
Confluent
MAY 13, 2019
In the last year, we’ve experienced enormous growth on Confluent Cloud, our fully managed Apache Kafka ® service. Confluent Cloud now handles several GB/s of traffic—a 200-fold increase in just six months. As Confluent Cloud has grown, we’ve noticed two gaps that very clearly remain to be filled in managed Apache Kafka services. First, all the Kafka services out there still require you to size and provision a cluster, which inevitably leads to a poor developer experience, over-provisioned capaci
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Teradata
MAY 14, 2019
Cheryl Wiebe explains why AI for industrial use cases is a more complicated road than it appears.
Rockset
MAY 17, 2019
We love a good debate. And we love data. So when the existential question of spaces vs. tabs came up in our team, we just had to run a real-time survey and collect thousands of data points around it. While we were at it, we figured it was time to settle the debate around other equally important developer issues like Hint vs. LaCroix, Vim vs. Emacs, and more.
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Zalando Engineering
MAY 15, 2019
A closer look at how the Linux kernel influences Redis memory management Recently, I was talking to a long-time friend, previous university colleague and former boss, who mentioned the fact that Redis was failing to persist data to disk in low memory conditions. For that reason, he advised to never let a Redis in-memory dataset to be bigger than 50% of the system memory.
Confluent
MAY 14, 2019
A technology community is made up of people. Without people writing code, writing tutorials, welcoming newcomers, giving presentations, and answering questions, what we have is not a community, but just a set of Git repositories. We’re grateful that the Apache Kafka ® and Confluent communities are composed of hundreds of thousands of people all over the world who are constantly doing all of these things.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Cloudera
MAY 15, 2019
With Dataworks Summit kicking off in Washington, DC next week, we are super excited to have Charles Boicey MS, RN-BC and Chief Innovation Officer for Clearsense, as one of the keynote speakers. A notable expert and clinical information systems specialist, Charles, offers his 25-plus years of strategic leadership. He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange.
Rockset
MAY 17, 2019
The best way to answer questions about user behavior is often to gather data. A common pattern is to track user clicks throughout a product, then perform analytical queries on the resulting data, getting a holistic understanding of user behavior. In my case, I was curious to get a pulse of developer preferences on several divisive questions. So, I built a simple survey and gathered tens of thousands of data points from developers on the Internet.
Confluent
MAY 15, 2019
Red Pill Analytics was recently engaged by a Fortune 500 e-commerce and wholesale company that is transforming the way they manage inventory. Traditionally, this company has used only a few massive warehouses and shipped out from these locations to all customers regardless of geographic location or delivery style. But these legacy warehouses were slow to ship from and couldn’t keep up with more modern inventory management strategies, including same-day dropshipping or bringing the product physic
Cloudera
MAY 16, 2019
Coming up, Cloudera will be featured at Informatica World (global customer event) in Las Vegas. The conference provides a useful opportunity to reflect on the rapid evolution we’ve seen in the Data Integration and Management space, much of it driven by the innovations that Cloudera and the open source community have been delivering. First off, it’s important to recognize the impressive job that Informatica has done in re-inventing itself and adapting to this new technology ecosystem.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
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