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Summary Controlling access to a database is a solved problem… right? It can be straightforward for small teams and a small number of storage engines, but once either or both of those start to scale then things quickly become complex and difficult to manage. After years of running across the same issues in numerous companies and even more projects Justin McCarthy built strongDM to solve database access management for everyone.
by Richard Cool Netflix has over 139M members streaming on more than half a billion devices spanning over 1,700 different types of devices from hundreds of brands. This diverse device ecosystem results in a high dimensionality feature space, often with sparse data, and can make identifying device performance issues challenging. Identifying ways to scale solutions in this space is vital as the ecosystem continues to grow both in volume and diversity.
It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Western Union and IQVIA to name just a couple — CDSW is now also ready to help Hortonworks customers accelerate the delivery of new data products through secure, collaborative data science at scale.
Lau Skorstengaard is a Ph.D. student at Aarhus University who pursued a 2018 internship with Uber Engineering’s Aarhus, Denmark office. In this article, Lau discusses his path to Uber and the technical challenges faced while building his internship project as … The post Aarhus Engineering Internship: Building Aggregation Support for YQL, Uber’s Graph Query Language for Grail appeared first on Uber Engineering Blog.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Photo credit: Stewart Sutton | DigitalVision via Getty Images You’re in a maze of twisty little passages, all alike The state of the art in online computer gaming circa 1976 was a game called Adventure , which consisted of typing short instructions into a computer terminal and getting terse responses, which you had to interpret to complete a vaguely-defined mission.
Summary Building internal expertise around big data in a large organization is a major competitive advantage. However, it can be a difficult process due to compliance needs and the need to scale globally on day one. In this episode Jesper Søgaard and Keld Antonsen share the story of starting and growing the big data group at LEGO. They discuss the challenges of being at global scale from the start, hiring and training talented engineers, prototyping and deploying new systems in the cloud, and wh
Summary Building internal expertise around big data in a large organization is a major competitive advantage. However, it can be a difficult process due to compliance needs and the need to scale globally on day one. In this episode Jesper Søgaard and Keld Antonsen share the story of starting and growing the big data group at LEGO. They discuss the challenges of being at global scale from the start, hiring and training talented engineers, prototyping and deploying new systems in the cloud, and wh
By Gang Su & Ian Yohai From living rooms in Bogota, to morning commutes in Tokyo, to beaches in Los Angeles and dorms in Berlin, Netflix strives to bring joy to over 139 million members around the globe and connect people with stories they’ll love. Every bit of the customer experience is imbued with innovation, right from the very first encounter with Netflix during the signup process?
A new year is always an opportunity for change. This year, we’re making a big one. On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. We are well positioned to deliver even more innovation and success than we have independently over the last decade.
These days, office employees need an AI hero. Can you imagine the number of hours wasted on handling a paper-based workflow? Isn’t it time to save employees from piles of paper? No one is saying it will be easy to eliminate paper documents promptly. For instance, in the legal sphere where the cost of a. Запись How OCR Can Help Employees Fight Through Most Mundane Tasks впервые появилась InData Labs.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
How We Updated Pandora on iOS 12 Launch Day Photo Credit: Stavros Constantinou The Story That Shook the Press The Pandora app was amongst the very few enterprise apps that successfully released an update for iOS 12 on Apple’s day one September 21 launch date, supporting the exciting new Siri Shortcuts feature. Here are some notable quotes: Engadget, “Music app Pandora is taking advantage of Shortcuts at iOS 12’s launch.
Summary The past year has been an active one for the timeseries market. New products have been launched, more businesses have moved to streaming analytics, and the team at Timescale has been keeping busy. In this episode the TimescaleDB CEO Ajay Kulkarni and CTO Michael Freedman stop by to talk about their 1.0 release, how the use cases for timeseries data have proliferated, and how they are continuing to simplify the task of processing your time oriented events.
Nakadi is Zalando’s open source event streaming platform. It is based on Apache Kafka. It started as a simple HTTP proxy, providing a REST interface to publish and consume JSON messages. It quickly evolved, with the addition of schema validation and evolution, self-service authorization, a subscription API for easy consumption, deep integration with Zalando’s infrastructure, a SQL-over-streams engine, and much more.
Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge. In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Redash is a powerful open source query and visualization tool that helps you make sense of your data. It connects to variety of data sources and also includes a native connector for Rockset. In this post we will demonstrate how to use Redash to build live dashboards on Rockset data sets. Configure If you've never used Redash before, you need to set it up first.
Summary The Hadoop platform is purpose built for processing large, slow moving data in long-running batch jobs. As the ecosystem around it has grown, so has the need for fast data analytics on fast moving data. To fill this need the Kudu project was created with a column oriented table format that was tuned for high volumes of writes and rapid query execution across those tables.
With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you
Applying deep reinforcement learning to real world problems has the potential to revolutionize how businesses tackle many of their core business challenges.
You’ve probably never had the same day twice at your current job. At Zalando it’s no different. Here, it not only depends on the product you're currently working on but also on your peers. Actually, what's expected from a frontend engineer can vary according to a company philosophy or your own previous experience: usually a frontend engineer can be seen as a Swiss army knife when in reality at Zalando, for example, we see them as masters of trades.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
An incredible amount of business data is floating around in Excel spreadsheets - so data scientists often need to analyze data across multiple worksheets or even multiple spreadsheets using SQL. Additionally, this data may need to be joined with other data sets that are in JSON, CSV or Parquet formats. Microsoft Excel currently has some basic SQL support in place: Use SQL for connecting to an external database like Access or SQL Server, parsing field or table contents and importing the data.
Applying deep reinforcement learning to real world problems has the potential to revolutionize how businesses tackle many of their core business challenges.
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?
This post offers a how-to guide to real-time analytics using SQL on streaming data with Apache Kafka and Rockset, using the Rockset Kafka Connector , a Kafka Connect Sink. Kafka is commonly used by many organizations to handle their real-time data streams. We will show how Rockset integrates with Kafka to ingest and index our fast-moving event data, enabling us to build operational apps and live dashboards on top of Rockset.
This post outlines how to use SQL for querying and joining raw data sets like nested JSON and CSV - for enabling fast, interactive data science. Data scientists and analysts deal with complex data. Much of what they analyze could be third-party data, over which there is little control. In order to make use of this data, significant effort is spent in data engineering.
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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