Confluent

DECEMBER 28, 2020

Before you say it: Yes, we are right now three days past Christmas, but technically the 12 days of Christmas refer to the days between Christmas and Epiphany, which is—I […].

Kafka 145

Kafka IT 145

Netflix Tech

DECEMBER 14, 2020

Life of a Netflix Partner Engineer?—?The case of the extra 40 ms By: John Blair , Netflix Partner Engineering The Netflix application runs on hundreds of smart TVs, streaming sticks and pay TV set top boxes. The role of a Partner Engineer at Netflix is to help device manufacturers launch the Netflix application on their devices. In this article we talk about one particularly difficult issue that blocked the launch of a device in Europe.

Bytes 143

Bytes Engineering Coding Manufacturing 143

Data Engineering Podcast

DECEMBER 28, 2020

Summary One of the core responsibilities of data engineers is to manage the security of the information that they process. The team at Satori has a background in cybersecurity and they are using the lessons that they learned in that field to address the challenge of access control and auditing for data governance. In this episode co-founder and CTO Yoav Cohen explains how the Satori platform provides a proxy layer for your data, the challenges of managing security across disparate storage system

Data Governance 130

Data Governance Government Transportation Data 130

Team Data Science

DECEMBER 17, 2020

Organizations in several industries such as banking, healthcare, and automobiles are now acknowledging the value of data science in their mode of operation. Thus, an ideal and efficacious data science team are therefore expected to manage numerous volume of tasks. Even then, developing a team to successfully manage AI tasks is essential to tackle any challenges faced by organizations as regard data.

Data Engineering 130

Data Engineering Data Engineer Engineering Cloud Computing 130

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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

Data Pipeline

Start Data Engineering

DECEMBER 5, 2020

1.

SQL 130

SQL Data Data Process Process 130

Cloudera

DECEMBER 15, 2020

It is crucial for organizations to focus on supporting the new way of work, enhancing productivity, and improving cost efficiency to ensure business survival in the post-pandemic world. However, those that are overly focused on these short-term goals risk losing sight of what’s truly important. As shared in my previous post , diverse teams can help organizations unlock innovations that allow them to adapt to market changes quickly and drive business growth.

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Programming Building Designing Project 111

Netflix Tech

DECEMBER 23, 2020

By Fabio Kung , Sargun Dhillon , Andrew Spyker , Kyle , Rob Gulewich, Nabil Schear , Andrew Leung , Daniel Muino, and Manas Alekar As previously discussed on the Netflix Tech Blog, Titus is the Netflix container orchestration system. It runs a wide variety of workloads from various parts of the company?—?everything from the frontend API for netflix.com, to machine learning training workloads, to video encoders.

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Media Accessible Accessibility Systems 118

Data Engineering Podcast

DECEMBER 21, 2020

Summary Data governance is a term that encompasses a wide range of responsibilities, both technical and process oriented. One of the more complex aspects is that of access control to the data assets that an organization is responsible for managing. The team at Immuta has built a platform that aims to tackle that problem in a flexible and maintainable fashion so that data teams can easily integrate authorization, data masking, and privacy enhancing technologies into their data infrastructure.

Data Governance 130

Data Governance Government Data Lake Banking 130

DataKitchen

DECEMBER 30, 2020

While 2020 has been a collectively difficult year, we want to take a moment to thank all of our employees for the hard work they put into continually developing our DataKitchen DataOps Platform for our customers. We also want to thank all of the data industry groups that have recognized our DataKitchen DataOps Platform and Transformation Advisory Services throughout the year.

Manufacturing 96

Manufacturing Big Data Data Pipeline Data Science 96

Teradata

DECEMBER 29, 2020

When considering your organization's move to the cloud, it's imperative to understand what the cloud can and cannot do, and how to best leverage its benefits.

Cloud 90

Cloud IT 90

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.

Data

Cloudera

DECEMBER 11, 2020

In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 benchmark. Amazon recently announced their latest EMR version 6.1.0 with support for ACID transactions.

Data Warehouse 110

Data Warehouse Metadata Datasets Machine Learning 110

Confluent

DECEMBER 11, 2020

This blog post shows how transactional machine learning (TML) integrates data streams with automated machine learning (AutoML), using Apache Kafka® as the data backbone, to create a frictionless machine learning […].

Machine Learning 141

Machine Learning Kafka Data Programming 141

Netflix Tech

DECEMBER 11, 2020

In our previous post and QConPlus talk , we discussed GraphQL Federation as a solution for distributing our GraphQL schema and implementation. In this post, we shift our attention to what is needed to run a federated GraphQL platform successfully?—?from our journey implementing it to lessons learned. Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The

IT 102

IT Architecture Java Designing 102

Data Engineering Podcast

DECEMBER 14, 2020

Summary As a data engineer you’re familiar with the process of collecting data from databases, customer data platforms, APIs, etc. At YipitData they rely on a variety of alternative data sources to inform investment decisions by hedge funds and businesses. In this episode Andrew Gross, Bobby Muldoon, and Anup Segu describe the self service data platform that they have built to allow data analysts to own the end-to-end delivery of data projects and how that has allowed them to scale their o

Data Analytics 100

Data Analytics Building MySQL Data 100

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.

Systems

DataKitchen

DECEMBER 21, 2020

We understand that many folks would like to say goodbye and good riddance to 2020. But before we shut the door on such a turbulent, transformative year, we at DataKitchen would like to share the creme de la creme of our DataOps content in hopes that it can help you as you learn about and implement DataOps. We hope you and your family have happy holidays and we look forward to continuing your DataOps journey with you in the new year.

IT 84

IT 84

Teradata

DECEMBER 16, 2020

Vantage Social Network Analysis (SNA) Framework helps us with useful insights to identify various risk factors associated with the spread of Covid-19. Read more.

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66

Cloudera

DECEMBER 15, 2020

Across nearly every sector working with complex data, Spark has quickly become the de-facto distributed computing framework for teams across the data and analytics lifecycle. One of most awaited features of Spark 3.0 is the new Adaptive Query Execution framework (AQE), which fixes the issues that have plagued a lot of Spark SQL workloads. Those were documented in early 2018 in this blog from a mixed Intel and Baidu team.

SQL 99

SQL Datasets Designing Process 99

Confluent

DECEMBER 16, 2020

We’re pleased to announce ksqlDB 0.14, one of the most feature-packed releases of the year. This version includes expanded query support over materialized views, incremental schema alteration, variable substitution, additional […].

Process 126

Process 126

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

Manufacturing

Netflix Tech

DECEMBER 10, 2020

by Melody Dye *, Chaitanya Ekanadham *, Avneesh Saluja *, Ashish Rastogi * contributed equally Netflix is pioneering content creation at an unprecedented scale. Our catalog of thousands of films and series caters to 195M+ members in over 190 countries who span a broad and diverse range of tastes. Content, marketing, and studio production executives make the key decisions that aspire to maximize each series’ or film’s potential to bring joy to our subscribers as it progresses from pitch to play o

Machine Learning 98

Machine Learning Entertainment Metadata Consulting 98

Data Engineering Podcast

DECEMBER 7, 2020

Summary Building data products are complicated by the fact that there are so many different stakeholders with competing goals and priorities. It is also challenging because of the number of roles and capabilities that are necessary to go from idea to delivery. Different organizations have tried a multitude of organizational strategies to improve the success rate of these data teams with varying levels of success.

Building 100

Building Big Data Consulting Data Engineering 100

DataKitchen

DECEMBER 20, 2020

It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is most adaptable to change. – Leon C. Megginson on Charles Darwin “Origin of Species”. Adapt or face decline. The agile alliance defines “ business agility ” as the ability of an organization to sense changes internally or externally and respond accordingly in order to deliver value to its customers.

Engineering 59

Engineering Manufacturing Data Analytics Data Workflow 59

Teradata

DECEMBER 14, 2020

From COVID-19 to AI in industry, our Teradata experts offer their best predictions for the state of technology and business in 2021 and beyond. Read more.

Technology 64

Technology 64

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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.

Cloud

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. Consider for a moment, just how much 2020 brought about for businesses to deal with. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Confluent

DECEMBER 17, 2020

Microservice architectures continue to grow within engineering organizations as teams strive to increase development velocity. Microservices promote the idea of modularity as a first-class citizen in a distributed architecture, enabling […].

Architecture 122

Architecture Engineering Kafka 122

Netflix Tech

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse.

Data Warehouse 85

Data Warehouse Metadata Algorithm Data 85

Grouparoo

DECEMBER 22, 2020

A necessary practice and skill to building a successful product is having accurate, accessible, and actionable data. I’ve had the privilege to work at some great companies that are extremely data-focused, and I’ve learned from some of the best along the way. Quantitative user data At Zynga , we had millions of daily active users, where we tracked every click, action, and session across all of our games and apps.

Project 52

Project Entertainment Recruitment SQL 52

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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?

Business Intelligence

Data Council

DECEMBER 21, 2020

Here's our December 2020 roundup of links from across the web that could be relevant to you: 1. The Modern Data Stack (Fishtown Analytics) This long-form post on the dbt blog is a must-read. Titled “The Modern Data Stack: Past, Present, and Future,” it answers the question that Tristan Handy has been asking himself for the past two years: “What happened to the massive innovation we saw from 2012-2016?

Metadata 52

Metadata Architecture Data Technology 52

Teradata

DECEMBER 1, 2020

Teradata is participating in AWS re:Invent 2020, demonstrating our cloud-first stance as a Gold sponsor. Find out more.

AWS 59

AWS Cloud 59

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. You will learn all the parts of Cloudera’s Data Platform that together will accelerate your everyday Data Worker tasks.

Banking 97

Banking Data Data Lake Data Warehouse 97

Confluent

DECEMBER 8, 2020

If you’re getting started with Apache Kafka® and event streaming applications, you’ll be pleased to see the variety of languages available to start interacting with the event streaming platform. It […].

Kafka 122

Kafka Scala IT 122

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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

Data Engineering