Snowflake

JANUARY 25, 2023

Data, data, data. It does seem we are not only surrounded by talk about data, but by the actual data itself. We are collecting data from every nook and cranny of the universe (literally!). We cannot scale our expertise as fast as we can scale the Data Cloud. This must change. The solution?

Metadata 81

Metadata Data Pipeline Government Data 81

Christophe Blefari

MARCH 15, 2024

Saying mainly that " Sora is a tool to extend creativity " Last point Mira has been mocked and criticised online because as a CTO she wasn't able to say on which public / licensed data Sora has been trained on. This is related to Paris testing automated video surveillance during Olympics. This is Croissant.

Metadata 272

Metadata Datasets Data Data Warehouse 272

Data Engineering Podcast

OCTOBER 15, 2021

Summary The binding element of all data work is the metadata graph that is generated by all of the workflows that produce the assets used by teams across the organization. The DataHub project was created as a way to bring order to the scale of LinkedIn’s data needs. No more scripts, just SQL.

Metadata 100

Metadata BI Data Warehouse Government 100

Data Engineering Podcast

AUGUST 24, 2020

Summary In order to scale the use of data across an organization there are a number of challenges related to discovery, governance, and integration that need to be solved. The key to those solutions is a robust and flexible metadata management system. If you hand a book to a new data engineer, what wisdom would you add to it?

Metadata 100

Metadata Management Kafka Data Engineering 100

Uber Engineering

AUGUST 3, 2018

From driver and rider locations and destinations, to restaurant orders and payment transactions, every interaction on Uber’s transportation platform is driven by data.

Metadata 110

Metadata Big Data Transportation Data 110

Data Engineering Podcast

AUGUST 13, 2022

Summary Data is useless if it isn’t being used, and you can’t use it if you don’t know where it is. Data catalogs were the first solution to this problem, but they are only helpful if you know what you are looking for. Data stacks are becoming more and more complex. Sifflet also offers a 2-week free trial.

Metadata 100

Metadata MongoDB Scala MySQL 100

Data Engineering Podcast

APRIL 22, 2018

Summary The information about how data is acquired and processed is often as important as the data itself. For this reason metadata management systems are built to track the journey of your business data to aid in analysis, presentation, and compliance. What is involved in deploying your metadata collection agents?

Business Intelligence 113

Business Intelligence Metadata Management Data Governance 113

Jesse Anderson

NOVEMBER 14, 2023

A Guest Post by Ole Olesen-Bagneux In this blog post I would like to describe a new data team, that I call ‘the data discovery team’. Data discovery is thought of in different ways in data science and in information science respectfully. In an enterprise data reality, searching for data is a bit of a hassle.

Metadata 147

Metadata Data Science Big Data Data 147

KDnuggets

MAY 31, 2022

Add Layer to your existing ML code and quickly get a rich model and data registry with experiment tracking!

Metadata 108

Metadata Coding Data 108

Start Data Engineering

JULY 20, 2023

Use standard patterns that progressively transform your data 3.2. Ensure data is valid before exposing it to its consumers (aka data quality checks) 3.3. Avoid data duplicates with idempotent pipelines 3.4. Write DRY code & keep I/O separate from data transformation 3.5.

Coding 130

Coding Data Engineering Data Engineer Engineering 130

Data Engineering Podcast

NOVEMBER 13, 2022

Summary Building data products is an undertaking that has historically required substantial investments of time and talent. With the rise in cloud platforms and self-serve data technologies the barrier of entry is dropping. Atlan is the metadata hub for your data ecosystem.

Building 130

Building Metadata MongoDB MySQL 130

Acceldata

MARCH 2, 2023

Learn how to use Acceldata's cloud data observability platform to optimize queries for query history metadata.

Metadata 40

Metadata Cloud Data 40

Snowflake

MAY 15, 2024

According to Infosys, 35% of AI projects will either fail or experience delays because of poor data quality. There’s a huge gap between the data quality most companies have by default and the data quality needed for successful AI. Metaplane ensures that every company can trust the data that powers their business.

Cloud 108

Cloud Metadata Data Pipeline Government 108

Precisely

MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. As enterprise technology landscapes grow more complex, the role of data integration is more critical than ever before.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Data Engineering Podcast

NOVEMBER 6, 2022

Summary A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. Atlan is the metadata hub for your data ecosystem. Data engineers don’t enjoy writing, maintaining, and modifying ETL pipelines all day, every day.

Building 130

Building IT Metadata MongoDB 130

Data Council

JANUARY 21, 2021

Storing Cold Metadata with Alki (Dropbox) Dropbox shared insights into Alki , the petabyte-scale metadata store it designed for infrequently accessed metadata (“cold data”). Here's our January 2021 roundup of links from across the web that could be relevant to you: 1.

Metadata 52

Metadata AWS Cloud Database 52

Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Materialize]([link] Looking for the simplest way to get the freshest data possible to your teams?

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. We expect complete and accurate data at the end of each run.

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

The Modern Data Company

JANUARY 22, 2024

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. In response, The Modern Data Company emerged, driven by a clear mission: to revolutionize data management and address challenges posed by a diverse and rapidly evolving data environment.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

dbt Developer Hub

SEPTEMBER 14, 2021

Embedding the DAG within the IDE makes investigating project structure a lot easier The Metadata API : Now in GA! Assess data health with the metadata generated by recent dbt job runs Dashboard Status Tiles : Embed this tile anywhere iFrames live to quickly check data freshness New Resources ​ Things to Read ?

Metadata 52

Metadata Data Pipeline Python Cloud 52

Data Engineering Podcast

DECEMBER 18, 2022

Summary One of the reasons that data work is so challenging is because no single person or team owns the entire process. This introduces friction in the process of collecting, processing, and using data. In order to reduce the potential for broken pipelines some teams have started to adopt the idea of data contracts.

Metadata 130

Metadata Business Intelligence Data Lake BI 130

Precisely

NOVEMBER 14, 2023

When speaking to organizations about data integrity , and the key role that both data governance and location intelligence play in making more confident business decisions, I keep hearing the following statements: “For any organization, data governance is not just a nice-to-have! “ “Everyone knows that 80% of data contains location information.

Data Governance 117

Data Governance Government Metadata Retail 117

Cloudera

APRIL 18, 2024

All of that technology, though, depends on data to be successful. In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular.

Metadata 108

Metadata Government Data Governance Data 108

ThoughtSpot

OCTOBER 9, 2023

When using data to make impactful business decisions, certain doubts may start to arise, like “What does this column exactly mean?” or “Can I trust this data source I want to use?” Questions like these speak to a larger need for increased data literacy and trust in data.

Metadata 83

Metadata Government Data Data Governance 83

Data Engineering Podcast

OCTOBER 23, 2022

Applying those same practices to data can prove challenging due to the number of systems that need to be included to implement a complete feature. Atlan is the metadata hub for your data ecosystem. Data engineers don’t enjoy writing, maintaining, and modifying ETL pipelines all day, every day.

Project 130

Project Metadata MongoDB MySQL 130

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Atlan is the metadata hub for your data ecosystem.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Snowflake

DECEMBER 4, 2023

Apache Iceberg’s ecosystem of diverse adopters, contributors and commercial support continues to grow, establishing itself as the industry standard table format for an open data lakehouse architecture. Are you using Snowflake on AWS and already using Glue Data Catalog for your data lake?

Building 97

Building Metadata Cloud Storage AWS 97

The Modern Data Company

JANUARY 22, 2024

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. In response, The Modern Data Company emerged, driven by a clear mission: to revolutionize data management and address challenges posed by a diverse and rapidly evolving data environment.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Precisely

MAY 23, 2024

Key takeaways: Quickly adapt to market changes by easily adding new data sources and targets, ensuring your IT landscape evolves at the pace of your business. Gain a competitive edge with real-time data integration, crucial for time-sensitive decisions and actions in fraud detection and customer interactions.

Data Integration 62

Data Integration Metadata Telecommunication Data Governance 62

Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

Data Engineering 103

Data Engineering Data Engineer Engineering Metadata 103

Data Engineering Podcast

SEPTEMBER 17, 2023

Summary A significant amount of time in data engineering is dedicated to building connections and semantic meaning around pieces of information. Linked data technologies provide a means of tightly coupling metadata with raw information. Go to dataengineeringpodcast.com/materialize today to get 2 weeks free!

Building 189

Building BI SQL Python 189

Data Engineering Podcast

JUNE 19, 2022

Summary Data analysis is a valuable exercise that is often out of reach of non-technical users as a result of the complexity of data systems. Atlan is the metadata hub for your data ecosystem. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

Data Engineering Podcast

JULY 17, 2022

Summary There are extensive and valuable data sets that are available outside the bounds of your organization. Whether that data is public, paid, or scraped it requires investment and upkeep to acquire and integrate it with your systems. Atlan is the metadata hub for your data ecosystem.

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

FEBRUARY 19, 2023

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. We feel your pain.

IT 147

IT Data Lake Metadata Data Warehouse 147

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Data Process 90

Data Process Process Metadata Finance 90

Netflix Tech

DECEMBER 3, 2022

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

Data Pipeline 143

Data Pipeline Scala Metadata Food 143

Data Engineering Podcast

DECEMBER 25, 2022

Summary Five years of hosting the Data Engineering Podcast has provided Tobias Macey with a wealth of insight into the work of building and operating data systems at a variety of scales and for myriad purposes. Atlan is the metadata hub for your data ecosystem. Missing data? Struggling with broken pipelines?

Building 100

Building Metadata Business Intelligence Data Lake 100