Uber Engineering

OCTOBER 9, 2017

Uber facilitates seamless and more enjoyable user experiences by channeling data from a variety of real-time sources. These insights range from in-the-moment traffic conditions that provide guidance on trip routes to the Estimated Time of Delivery (ETD) of an UberEATS … The post Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform appeared first on Uber Engineering Blog.

Engineering 85

Engineering Data Architecture SQL 85

Cloudera

OCTOBER 31, 2017

Cloudera was recently named to the San Francisco Business Times “Fast 100” list of the fastest-growing private companies in the Bay Area. We were selected based on our pre-IPO revenue growth driven by demand for our machine learning and analytic platform. This year’s winners were selected based on percent growth in revenue from fiscal years 2014 to 2016. .

Machine Learning 40

Machine Learning Cloud Database Technology 40

Zalando Engineering

OCTOBER 25, 2017

At Zalando we’ve created Nakadi , a distributed event bus that implements a RESTful API abstraction on top of Kafka-like queues. It helps to provide an available, durable, and fault tolerant publish/subscribe messaging system for simple microservices communication. A Kafka cluster is able to grow to a huge amount of data stored on the disks. Hosting Kafka requires support of instance termination (on purpose or just because the “cloud provider” decided to terminate the instance), which in our cas

AWS 40

AWS Kafka Cloud Python 40

Cloudera

OCTOBER 25, 2017

Our lives continue to become connected, just look at your phone in your pocket. If you have an iPhone 6, for example, you are walking around with a connected device that has nine sensors in it. Nine sensors that are constantly collecting data about you. If you are an Amazon Prime user, chances are you’ve heard of an Amazon Dash Button that connects your Amazon account for 1-click shopping for those “hard to live without” items.

Manufacturing 40

Manufacturing Technology Data IT 40

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Cloudera

OCTOBER 23, 2017

Your enterprise big data and machine learning initiatives can be delayed, fail, or risk security breach unless you choose the most mature, most tightly integrated platform. The good news is that enterprise big data and machine learning initiatives will benefit from increased agility and decreased risk with the recent release of CDH 5.13. One primary goal was making multi-disciplinary analytics workloads run smoothly and efficiently in the cloud when backed by our new Shared Data Experience.

Machine Learning 40

Machine Learning Big Data Portfolio Data Science 40

Cloudera

OCTOBER 12, 2017

With an extensive and vibrant partner ecosystem, Cloudera continues to provide an open data platform for machine learning and analytics that transforms how businesses manage data. In fact, a large part of how customers work with Cloudera, is through our diverse partner community. That said, we are proud to announce our inaugural Cloudera Partner Impact Awards where we will highlight partners that set themselves apart by their solutions and business excellence.

Consulting 40

Consulting Machine Learning Certification Process 40

Zalando Engineering

OCTOBER 18, 2017

Zalando Flies the Fashion Flag at RecSys 2017 RecSys, the annual ACM Recommender Systems Conference held its 11th session this year in the gorgeous city of Como, Italy. As part of our platform strategy, it’s vital that we fully engage with the wider tech community, and so we brought a full team to soak up the great learnings and bring some of our own.

Systems 40

Systems Deep Learning Algorithm Architecture 40

Zalando Engineering

OCTOBER 16, 2017

Pull Requests (PRs) are the norm today when it comes to common software development practices in teams. It is the right way to submit code changes so that your peers can check them out, add in their thoughts and help you create the best code you can - i.e. PRs allow us to easily introduce code review to our development process and enable a great deal of teamwork, while also decreasing the number of bugs our software contains.

Coding 40

Coding Project Designing Process 40

Cloudera

OCTOBER 18, 2017

Most of us have seen the news stories and forecasts about the Internet of Things (IoT) and what a vast market and field of opportunity it will be. Hundreds of the world’s largest enterprises now use IoT in ways so innovative, they’re disrupting their own industries. What they’ve found is that by intelligently deploying IoT solutions, they’re able to drive operational efficiencies, introduce new products and services, improve the customer experience and create wholly new business models.

Healthcare 40

Healthcare Medical Hospitality Electronics 40

Cloudera

OCTOBER 30, 2017

Today, public cloud is a compelling proposition for businesses and government organizations seeking to be more agile. Increasingly, self-service is seen as the most effective way to scale user access to data for analytics and operations. Cloud elasticity, combined with the right user applications, can reduce the friction of waiting for IT to fulfill requests and provision resources and data.

Big Data 40

Big Data Cloud Storage Government Cloud 40

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.

Cloudera

OCTOBER 17, 2017

Deep learning is in the news. It’s changing the game. It’s changing your life. It’s changing everything. It will change the world. It’s good to see people excited about technology. But deep learning is a tool that enterprises use to solve practical problems. Nothing more, and nothing less. In this blog, we provide a few examples that show how organizations put deep learning to work.

Deep Learning 47

Deep Learning Scala Medical Data Science 47

Zalando Engineering

OCTOBER 3, 2017

Programming is hard, and being part of an engineering team is even harder. Depending on requirements, cross-functional teams are not equally formed with frontend and backend engineers in most organizations. Also, they are neither stable nor do people have an equal amount of experience. People come and go but software stays on, so we need to buckle up and maintain it.

Scala 40

Scala Java Project Programming 40

Cloudera

OCTOBER 26, 2017

Published originally on O’Reilly.com. Become more agile with business intelligence and data analytics. Clouds (source: Pexels ). Check out Greg Rahn’s session, “ Rethinking data marts in the cloud: Common architectural patterns for analytics ” at the Strata Data Conference in Singapore, December 4-7, 2017, to learn how to architect analytic workloads in the cloud and the core elements of data governance.

Cloud 43

Cloud BI Cloud Storage Business Intelligence 43

Zalando Engineering

OCTOBER 9, 2017

A Challenge Shortly after joining Zalando, I, along with a small number of other new colleagues (in a newly opened Dublin office), was entrusted with the task of building an important part of the new Fashion Platform - in particular, the core services around the Article data of Zalando. This task came with several interesting challenges, not least of which was ensuring the new platform provided not just sufficient capacity/throughput for existing workloads, but also had capacity for longer term

Kafka 40

Kafka PostgreSQL Database Data Ingestion 40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science