Confluent
NOVEMBER 23, 2020
As a clothing retailer with more than 1.5 million customers worldwide, Boden is always looking to capitalise on business moments to drive sales. For example, when the Duchess of Cambridge […].
Data Engineering Podcast
NOVEMBER 23, 2020
Summary One of the oldest aphorisms about data is "garbage in, garbage out", which is why the current boom in data quality solutions is no surprise. With the growth in projects, platforms, and services that aim to help you establish and maintain control of the health and reliability of your data pipelines it can be overwhelming to stay up to date with how they all compare.
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Cloudera
NOVEMBER 26, 2020
This year’s Data Impact Awards were like none other that we’ve ever hosted. While everyone attended from the comfort of their own homes (and timezones), we were still able to celebrate the fantastic achievements of our customers. From all corners of the globe, our customers have delivered incredible amounts of innovation in the enterprise, while overcoming many of the challenges and disruptions 2020 has brought.
Afterpay Tech
NOVEMBER 23, 2020
Photo by Markus Winkler on Unsplash By Jose Picado , Qiao Wang , and Yi Li Context Our Shop Directory is used by our consumers to discover stores, brands, and products. It is incredibly valuable for our retail partners: Almost 20 million referrals per month in the 2020 July - Sept quarter. The Shop Directory, available on the Web and our mobile app, contains nearly 64,000 stores, and each store sells 1000s of products.
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.
Confluent
NOVEMBER 23, 2020
I’m excited to announce a new strategic partnership with IBM. As part of this partnership, IBM will be reselling Confluent Platform, enabling its customers to leverage their existing IBM relationships […].
Teradata
NOVEMBER 22, 2020
In the 2nd Oxford Saïd Customer Executive Education workshop, leaders from the financial services sector debated the rise of the platform economy & how the bank of the future can compete.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Netflix Tech
NOVEMBER 23, 2020
Introducing gnmi-gateway: a modular, distributed, and highly available service for modern network telemetry via OpenConfig and gNMI By: Colin McIntosh, Michael Costello Netflix runs its own content delivery network, Open Connect , which delivers all streaming traffic to our members. A backbone network underlies a large portion of the CDN, and we also run the high capacity networks that support our studios and corporate offices.
Confluent
NOVEMBER 25, 2020
As part of this year’s Kafka Summit, the Confluent Community team hosted a community hackathon named Kafkathon 2020. The event provided an opportunity for participants to learn, build, and showcase […].
Airbnb Tech
NOVEMBER 24, 2020
Part 2 — A New Gold Standard Authors: Vaughn Quoss, Jonathan Parks, Paul Ellwood Introduction At Airbnb, we’ve always had a data-driven culture. We’ve assembled top-notch data science and engineering teams, built industry-leading data infrastructure, and launched numerous successful open source projects, including Apache Airflow and Apache Superset.
Cloudera
NOVEMBER 25, 2020
In my last post , I’ve shared that true workplace diversity extends beyond gender parity. The goal should instead be cognitive diversity, which includes diversity of thinking, perspective, and intellectual style. Having a variety of thoughts and opinions can increase organizational effectiveness to help companies improve and grow. . However, leaders also need to understand that diversity should not be a tick-the-box program.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
Rockset
NOVEMBER 24, 2020
Rockset makes it easier to serve modern data applications at scale and at speed. From personalization and gaming to logistics or IoT, Rockset automatically and continuously ingests and indexes structured and semi-structured data at scale for a solution that supports latency-sensitive queries for real-time analytics. How do we do that? Built on open-source RocksDB, a high-performance, distributed storage engine, the Converged Index™, is an important component of our real-time database.
Cloudera
NOVEMBER 24, 2020
According to the dictionary, to call yourself a Champion means to have surpassed all rivals in a competition. This year, OVO has done just that, setting itself apart to win the Data Champions category at our 2020 Data Impact Awards. This category recognizes organizations whose IT administration provides the agility a business requires, without putting the business at risk, and embraces a pattern of technology adoption that prioritizes speed.
Cloudera
NOVEMBER 23, 2020
Upgrading components of Cloudera Data Warehouse (CDW) is as easy as one decision and a few clicks. While the Database (DB) Catalog and Virtual Warehouses (VWs) need to be compatible, the CDW upgrade framework understands the interoperability constraints between them. . Finding upgrades: CDW UI also has visual alerts to indicate when a new release is available.
Cloudera
NOVEMBER 24, 2020
With the complexity of data growing across the enterprise and emerging approaches to machine learning and AI use cases, data scientists and machine learning engineers have needed more versatile and efficient ways of enabling data access, faster processing, and better, more customizable resource management across their machine learning projects. The truth is that one size does not fit all, and managing all aspects of enterprise machine learning requires a lightweight, versatile, and customizable
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Cloudera
NOVEMBER 25, 2020
I met Matthew in New York City about a year ago. We sat in a private conference room and he told me the story of his pharma startup. A small group of researchers set out to solve the black-box enigma of certain kinds of vicious cancers. There are so many cancers, so their vision was to focus on especially heinous ones. Fast forward to their recent FDA approval of their “Hail Mary” procedure and treatment methodology for stage-four patients of a particular cancer.
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