dbt Developer Hub

APRIL 20, 2025

We expect that over the coming years, structured data is going to become heavily integrated into AI workflows and that dbt will play a key role in building and provisioning this data. We are committed to building the data control plane that enables AI to reliably access structured data from across your entire data lineage.

Structured Data 98

Structured Data SQL BI Project 98

Netflix Tech

JANUARY 6, 2025

Part 2: Navigating Ambiguity By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques Building on the foundation laid in Part 1 , where we explored the what behind the challenges of title launch observability at Netflix, this post shifts focus to the how.

Metadata 88

Metadata Algorithm Systems Building 88

Data Engineering Podcast

MARCH 5, 2023

It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. Can you describe what your working definition of "Data Culture" is?

Building 147

Building Machine Learning Database Design Metadata 147

Data Engineering Podcast

NOVEMBER 6, 2022

In this episode Nick King discusses how you can be intentional about data creation in your applications and services to reduce the friction and errors involved in building data products and ML applications. Atlan is the metadata hub for your data ecosystem. And don’t forget to thank them for their continued support of this show!

Building 130

Building IT Metadata MongoDB 130

Data Engineering Podcast

MARCH 27, 2022

In this episode Balaji Ganesan shares how his experiences building and maintaining Ranger in previous roles helped him understand the needs of organizations and engineers as they define and evolve their data governance policies and practices. Acryl]([link] The modern data stack needs a reimagined metadata management platform.

Data Governance 130

Data Governance Government Cloud Building 130

Knowledge Hut

JANUARY 2, 2024

You will learn how to build up Kube-state-metrics system, pull and collect metrics, deploy a Prometheus server and metrics exporters, configure alerts with Alertmanager, and create Grafana dashboards. Multi-dimensional data model Similar to how Kubernetes labels infrastructure metadata, the model's structure is built on key-value pairs.

Architecture 98

Architecture Metadata Utilities Data Collection 98

Knowledge Hut

FEBRUARY 1, 2024

Today, we’ll talk about how Machine Learning (ML) can be used to build a movie recommendation system - from researching data sets & understanding user preferences all the way through training models & deploying them in applications. How to Build a Movie Recommendation System in Python?

Systems 98

Systems Entertainment Algorithm Datasets 98

DataKitchen

FEBRUARY 20, 2025

It assesses your data, deploys production testing, monitors progress, and helps you build a constituency within your company for lasting change. Enhanced Testing & Profiling Copy & Move Tests with Ease The Test Definitions page now supports seamless test migration between test suites. DataOps just got more intelligent.

Datasets 74

Datasets Metadata Data Government 74

The Pragmatic Engineer

AUGUST 3, 2023

Now after 7 years, Google has announced it will retire Firebase Dynamic Links, but with no definite successor lined up. ” Because of how useful this product is, especially for app developers building on top of it, this announcement came as a surprise. We will announce more information in Q3 2023.”

Metadata 189

Metadata Engineering Building Technology 189

Netflix Tech

DECEMBER 3, 2022

This is one way to build trust with our internal user base. Obviously not all tools are made with the same use case in mind, so we are planning to add more code samples for other (than classical batch ETL) data processing purposes, e.g. Machine Learning model building and scoring. backfill.sch.yaml ??? daily.sch.yaml ???

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

Data Engineering Podcast

AUGUST 13, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Metadata 100

Metadata MongoDB MySQL Scala 100

Data Engineering Podcast

SEPTEMBER 11, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Systems 100

Systems Metadata Building MongoDB 100

Snowflake

OCTOBER 2, 2023

To help customers overcome these challenges, RudderStack and Snowflake recently launched Profiles , a new product that allows every data team to build a customer 360 directly in their Snowflake Data Cloud environment. Now teams can leverage their existing data engineering tools and workflows to build their customer 360.

Cloud 116

Cloud Building Insurance Data Engineering 116

Data Engineering Podcast

FEBRUARY 19, 2023

It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. Acryl]([link] The modern data stack needs a reimagined metadata management platform.

IT 147

IT Data Lake Metadata Data Warehouse 147

Data Engineering Podcast

OCTOBER 28, 2019

In an effort to create a better abstraction for building data applications Nick Schrock created Dagster. In this episode he explains his motivation for creating a product for data management, how the programming model simplifies the work of building testable and maintainable pipelines, and his vision for the future of data programming.

Building 100

Building Data Pipeline Programming Language Kafka 100

Data Engineering Podcast

NOVEMBER 9, 2020

Summary A data catalog is a critical piece of infrastructure for any organization who wants to build analytics products, whether internal or external. While there are a number of platforms available for building that catalog, many of them are either difficult to deploy and integrate, or expensive to use at scale.

Building 100

Building PostgreSQL BI Metadata 100

Snowflake

NOVEMBER 11, 2024

What if you could streamline your efforts while still building an architecture that best fits your business and technology needs? At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Here’s a closer look.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Engineering at Meta

FEBRUARY 4, 2025

Current design Finally, we considered whether it would be possible to build a system that relies on amortizing the cost of expensive full table scans by batching individual users requests into a single scan. For each data logs table, we initiate a new worker task that fetches the relevant metadata describing how to correctly query the data.

Accessibility 85

Accessibility Accessible Raw Data Data Warehouse 85

Snowflake

OCTOBER 7, 2024

When scaling data science and ML workloads, organizations frequently encounter challenges in building large, robust production ML pipelines. Define an Entity: Define a Feature View: feature_df is a Snowpark DataFrame object containing your feature definition.

Management 98

Management Building Datasets Government 98

Netflix Tech

FEBRUARY 16, 2021

The original SKU catalog is a logic-heavy client library packaged with complex metadata configuration files and consumed by various services. Operational Efficiency: The majority of the changes require metadata configuration files and library code changes, usually taking days of testing and service release to adopt the updates.

Building 88

Building Management Metadata Entertainment 88

Netflix Tech

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can push or pull.

Building 90

Building Metadata Transportation Data Ingestion 90

François Nguyen

MARCH 22, 2021

How do we build data products ? This is really for us the definition of a self serve platform. ” Code : all the code necessary to build a data product (data pipelines, API, policies). As you can see, this is in the code part where you are building your data pipelines, a misnomer because this is an over simplification.

Technology 130

Technology Architecture Google Cloud Metadata 130

Data Engineering Podcast

MAY 22, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. What do you see as the closest alternatives?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

Data Engineering Weekly

FEBRUARY 18, 2025

Jark is a key figure in the Apache Flink community, known for his work in building Flink SQL from the ground up and creating Flink CDC and Fluss. Fluss is an analytical Kafka that builds on top of Lakehouse and integrates seamlessly with Flink to reduce costs, achieve better performance, and unlock new use cases for real-time analytics.

Kafka 73

Kafka Lambda Architecture SQL Architecture 73

Tweag

NOVEMBER 1, 2023

For example, we build Nickel with Nix, and we need to make sure the version of wasm-bindgen we pull from Nixpkgs is the same as the one set in Cargo.toml. The actual Nix code to build Nickel calls to a mysterious override function, which is a bespoke mechanism of Nixpkgs to simulate this kind of overriding.

Metadata 117

Metadata Programming Programming Language Coding 117

ThoughtSpot

OCTOBER 9, 2023

ThoughtSpot continually invests in this area, giving users the confidence to build the correct Answers needed for their analysis—and ensuring they can trust the data they are shown. How ThoughtSpot builds trust with data catalog connectors For many, the data catalog is still the primary home for metadata enrichment and governance.

Metadata 105

Metadata Data Government Data Governance 105

Data Engineering Weekly

APRIL 20, 2025

Register now → Thoughtworks: AI on Technology Radar ThoughtWorks' technology radar inspired many enterprises to build their internal tech radars, standardizing and suggesting technology, tools, and framework adoption. Plus, get your questions answered directly by Airflow experts and contributors.

Data Engineer 67

Data Engineer Data Engineering Engineering Kafka 67

Cloudera

OCTOBER 7, 2021

Data and Metadata: Data inputs and data outputs produced based on the application logic. Also included, business and technical metadata, related to both data inputs / data outputs, that enable data discovery and achieving cross-organizational consensus on the definitions of data assets.

Architecture 124

Architecture Metadata Kafka Government 124

Netflix Tech

FEBRUARY 14, 2025

We will explore the challenges we encounter and unveil how we are building a resilient solution that transforms these client-side impressions into a personalized content discovery experience for every Netflixviewer. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily.

Kafka 66

Kafka Datasets Metadata Utilities 66

Cloudera

NOVEMBER 13, 2020

Metadata Caching. This is used to provide very low latency access to table metadata and file locations in order to avoid making expensive remote RPCs to services like the Hive Metastore (HMS) or the HDFS Name Node, which can be busy with JVM garbage collection or handling requests for other high latency batch workloads.

Metadata 143

Metadata Coding SQL Database 143

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets.

Data Governance 97

Data Governance Government Metadata Datasets 97

Data Engineering Podcast

JULY 24, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Data Engineering 100

Data Engineering Data Engineer Lambda Architecture Engineering 100

Maxime Beauchemin

JANUARY 20, 2017

Unlike data scientists — and inspired by our more mature parent, software engineering  — data engineers build tools, infrastructure, frameworks, and services. It also becomes the role of the data engineering team to be a “center of excellence” through the definitions of standards, best practices and certification processes for data objects.

Data Engineer 130

Data Engineer Data Engineering Engineering ETL Tools 130

Christophe Blefari

JANUARY 20, 2024

Every company out there has his own definition for the data engineer role. The idea behind is to solve data problem by building software. What is data engineering As I said it before data engineering is still a young discipline with many different definitions. Who are the data engineers? Is it really modern?

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Monte Carlo

DECEMBER 12, 2024

If it seems like literally everyone and their CEO wants to build GenAI products, youre absolutely right. Building AI applications on top of this kind of data is like trying to have a conversation with your neighbors parrotit can spit out a few words, but they probably wont be appropriate. AI isnt going anywhere.

Government 52

Government Data Cloud Datasets 52

Knowledge Hut

MAY 26, 2024

It houses metadata and both the desired and current state for each resource. So, if any other component needs to access information about the metadata or state of resources stored in the etcd, they have to go through the kube-apiserver. This ensures that all of the configurations are set correctly before being stored in the etcd.

Metadata 52

Metadata Certification Accessibility Accessible 52

LinkedIn Engineering

APRIL 25, 2023

In this blog post, we will cover how the GraphQL layer is architected for use by our internal engineers to build member and customer facing applications. We had two choices in hand - invest more in Deco to address the pressing issues, or adopt GraphQL and build the necessary infrastructure around it for our needs. Given that our Rest.li

Architecture 109

Architecture Metadata Java Transportation 109