Uber Engineering
JULY 22, 2021
Introduction. As Uber’s business grew, we scaled our Apache Hadoop (referred to as ‘Hadoop’ in this article) deployment to 21000+ hosts in 5 years, to support the various analytical and machine learning use cases. We built a team with varied … The post Containerizing Apache Hadoop Infrastructure at Uber appeared first on Uber Engineering Blog.
Confluent
JULY 14, 2021
Data is the lifeblood of so much of what we build as software professionals, so it’s unsurprising that operations involving its transfer occupy the vast majority of developer time across […].
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Start Data Engineering
JULY 21, 2021
Introduction Using Native Python Using Pydantic Pydantic Caveats Conclusion Further reading References Introduction Data type issues are one of the biggest concerns when processing data in python. If you are wondering how to Make sure that a column is of a specific data type ( e.g.
Marc Lamberti
JULY 6, 2021
Airflow on Kubernetes is quite popular isn’t it? There is a good chance that you know Kubernetes, that you even have a Kubernetes cluster and you would like to deploy and run Airflow on it. However, Kubernetes is hard. There is so many things to deal with that it can be really laborious to just deploy an application. Hopefully for us, some super smart people have created Helm.
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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
Cloudera
JULY 13, 2021
After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . CDP Data Engineering offers an all-inclusive toolset that enables data pipeline orchestration, automation, advanced monitoring, visual profiling, and a comprehensive management toolset for streamlining ETL processes and making complex data actionable across your analytic team
Netflix Tech
JULY 26, 2021
By Andrew Nguonly , Armando Magalhães , Obi-Ike Nwoke , Shervin Afshar , Sreyashi Das , Tongliang Liu , Wei Liu , Yucheng Zeng Background Over the next few years, most content on Netflix will come from Netflix’s own Studio. From the moment a Netflix film or series is pitched and long before it becomes available on Netflix, it goes through many phases.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
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Confluent
JULY 13, 2021
In Data Science projects, we distinguish between descriptive analytics and statistical models running in production. Overall, these can be seen as one process. You start with analyzing historical data to […].
Data Engineering Podcast
JULY 30, 2021
Summary Companies of all sizes and industries are trying to use the data that they and their customers generate to survive and thrive in the modern economy. As a result, they are relying on a constantly growing number of data sources being accessed by an increasingly varied set of users. In order to help data consumers find and understand the data is available, and help the data producers understand how to prioritize their work, SelectStar has built a data discovery platform that brings everyone
Teradata
JULY 11, 2021
Learn how Teradata is using Advanced Analytics to guide its safe Return-To-Office (RTO) policy for its global employees. Read more.
Cloudera
JULY 8, 2021
It’s been a year of awakening and change across the U.S. and around the world. One year ago our CEO Rob Bearden vowed to take decisive action to make Cloudera a more diverse, equitable, and inclusive place to work and have Cloudera take an active role in promoting those attributes in the tech industry and our communities. . There is no one size fits all solution to creating an intentional and strategic plan for a diverse workforce.
Speaker: Tamara Fingerlin, Developer Advocate
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.
DataKitchen
JULY 1, 2021
Arvind Murali, Intelligent Data podcast host, interviews DataKitchen CEO Chris Bergh about how DataOps helps improve the speed of data & analytics deployment. The post DevOps Is Not DataOps first appeared on DataKitchen.
Uber Engineering
JULY 7, 2021
Introduction. Since we productionized distributed XGBoost on Apache Spark™ at Uber in 2017, XGBoost has powered a wide spectrum of machine learning (ML) use cases at Uber, spanning from optimizing marketplace dynamic pricing policies for Freight , improving times of … The post Elastic Distributed Training with XGBoost on Ray appeared first on Uber Engineering Blog.
Confluent
JULY 30, 2021
It’s about maintaining the right data even when no one is watching. Last year, Confluent announced support for Infinite Storage, which fundamentally changes data retention in Apache Kafka® by allowing […].
Data Engineering Podcast
JULY 27, 2021
Summary Everyone expects data to be transmitted, processed, and updated instantly as more and more products integrate streaming data. The technology to make that possible has been around for a number of years, but the barriers to adoption have still been high due to the level of technical understanding and operational capacity that have been required to run at scale.
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.
Netflix Tech
JULY 15, 2021
Data Engineers of Netflix?—?Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin Wylie is a Data Engineer on the Content Data Science and Engineering team. In this post, Kevin talks about his extensive experience in content analytics at Netflix since joining more than 10 years ago.
Cloudera
JULY 30, 2021
Meet Vinicius Cardoso, better known as Vini. . He is a Sr. Solutions Engineer (SE) working in Australia. . In his role, customers are at the center of everything he does. Wearing the hat of Enterprise Architect, he dives deep to understand customer’s organization goals, initiatives and requirements in order to identify the key capabilities that need to be delivered. .
DataKitchen
JULY 21, 2021
The post Does Your Organization Need a Chief Data Officer? Probably first appeared on DataKitchen.
Uber Engineering
JULY 14, 2021
High Level Overview of the Problem. Introduction. If you’ve used any online/digital service, chances are that you are familiar with what a typical customer service experience entails: you send a message (usually email aliased) to the company’s support staff, fill … The post Customer Support Automation Platform at Uber appeared first on Uber Engineering Blog.
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
Confluent
JULY 20, 2021
We’re pleased to announce ksqlDB 0.19.0! This release includes a new NULLIF function and a major upgrade to ksqlDB’s data modeling capabilities—foreign-key joins. We’re excited to share this highly requested […].
Data Engineering Podcast
JULY 22, 2021
Summary Collecting and cleaning data is only useful if someone can make sense of it afterward. The latest evolution in the data ecosystem is the introduction of a dedicated metrics layer to help address the challenge of adding context and semantics to raw information. In this episode Nick Handel shares the story behind Transform, a new platform that provides a managed metrics layer for your data platform.
AltexSoft
JULY 8, 2021
It’s a common practice for companies and their marketing teams to try guessing how likely certain groups of customers are going to act under certain circumstances. For this purpose, they create propensity models. Built in a traditional statistical fashion, the accuracy of outcomes predictive tools provide isn’t always high. To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies.
Cloudera
JULY 16, 2021
Did you know Cloudera customers, such as SMG and Geisinger , offloaded their legacy DW environment to Cloudera Data Warehouse (CDW) to take advantage of CDW’s modern architecture and best-in-class performance? In addition to substantial cost savings upon moving to CDW, Geisinger is also able to search through hundreds of million patient note records in seconds providing better treatment to their patients.
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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.
Rock the JVM
JULY 28, 2021
Discover how referential transparency boosts your productivity as a functional programmer in Scala and why it's crucial
Grouparoo
JULY 28, 2021
When preparing your data set for analysis, it is crucial to ensure that your data set is both complete and accurate. One step in this process is deciding how to handle null values. Depending on how your data is going to be used, you may not want null values at all! Let's clean some data We're going to take a look at calculating Lifetime Value (LTV) of a customer.
Confluent
JULY 28, 2021
At Confluent, we focus on the holy trinity of performance, price, and availability, with the goal of delivering a similar performance envelope for all workloads across all supported cloud providers. […].
Data Engineering Podcast
JULY 19, 2021
Summary Data quality is a concern that has been gaining attention alongside the rising importance of analytics for business success. Many solutions rely on hand-coded rules for catching known bugs, or statistical analysis of records to detect anomalies retroactively. While those are useful tools, it is far better to prevent data errors before they become an outsized issue.
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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?
AltexSoft
JULY 27, 2021
Steve Jobs once said, “People don’t know what they want until you show it to them”. Well, try arguing that considering that we all watch videos suggested by YouTube, buy goods suggested by Amazon, and watch TV shows suggested by Netflix. People like being guided and given relevant offers and recommendations. They like being treated in a personal manner.
Cloudera
JULY 26, 2021
Introduction. With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies. Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enab
Rock the JVM
JULY 28, 2021
Discover how referential transparency boosts your productivity as a functional programmer in Scala and why it's crucial
Zalando Engineering
JULY 28, 2021
The Master Data Management Challenge Master data management (MDM) is a technology-enabled discipline in which business and Information Technology work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets. 1 At Zalando we are at an early phase of realising MDM for our internal data assets and we have chosen to do it in a consolidated style.
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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
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