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 80

Management Building Datasets Government 80

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

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 Scala MySQL 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 106

Cloud Building Insurance Data Engineering 106

Christophe Blefari

MARCH 1, 2023

You can also add metadata on models (in YAML). In a nutshell the dbt journey starts with sources definition on which you will define models that will transform these sources to something else you'll need in your downstream usage of the data. You can read dbt's official definitions.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Monte Carlo

AUGUST 25, 2023

A warehouse can be a one-stop solution, where metadata, storage, and compute components come from the same place and are under the orchestration of a single vendor. For metadata organization, they often use Hive, Amazon Glue, or Databricks. One advantage of data warehouses is their integrated nature.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Knowledge Hut

JUNE 4, 2024

For instance, the event metadata for an input event and a click event are different. Learn the language that powers tech giants and start building your own innovative projects today. $event Payload DOM events have useful information about the event in $event payload. The context of the event, i.e values += event. values += ( event.

Metadata 52

Metadata Coding Project Python 52

Precisely

OCTOBER 31, 2024

While data products may have different definitions in different organizations, in general it is seen as data entity that contains data and metadata that has been curated for a specific business purpose. A data fabric weaves together different data management tools, metadata, and automation to create a seamless architecture.

Data Architecture 69

Data Architecture Architecture Metadata Government 69

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

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 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

Monte Carlo

AUGUST 30, 2023

dbt (data build tool) is a SQL-based command-line tool that offers native testing features. In dbt, the built-in schema test `not_null` can be used to build completeness checks. There are some limits to keep in mind as you build a dbt testing discipline. And one of the most popular approaches is dbt testing.

SQL 52

SQL Datasets Database High Quality Data 52

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 114

Metadata Programming Programming Language Coding 114

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 Metadata 100

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

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 86

Building Management Metadata Entertainment 86

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 Engineer 100

Data Engineer Data Engineering Lambda Architecture Engineering 100

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 160

Metadata Engineering Building Technology 160

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

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 Engineer Data Engineering Cloud 130

Lyft Engineering

OCTOBER 3, 2023

Data quality is an amorphous term, with various definitions depending on the context. In Verity, we defined data quality as follows: Verity’s Definition of Data Quality The measure of how well data can be used as intended. Five aspects of data quality with the definition in italics and an example in quotes.

Big Data 85

Big Data Metadata Data Warehouse Data 85

Data Engineering Weekly

JULY 7, 2024

Learn More → Notion: Building and scaling Notion’s data lake Notion writes about scaling the data lake by bringing critical data ingestion operations in-house. link] Jack Vanlightly: Understanding Apache Paimon's Consistency Model Part 1 Table formats are definitely a hot topic in the industry now.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Now, it’s going to be about leveling up to building the actual implementation of the unstructured data.” Those who don’t embrace it will be left behind. With the right prompt (this is key!),

Database-centric 52

Database-centric Pipeline-centric Metadata Unstructured Data 52

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

Zalando Engineering

OCTOBER 18, 2023

The query directives are generally useful for clients to express certain types of metadata for the query. It is only used in our GraphQL linter that executes during the build time and prevents additions of new values to enums which are marked as final. We will discuss this in detail in the next section. are some entities.

Metadata 82

Metadata Coding Banking Designing 82

Monte Carlo

OCTOBER 2, 2024

Something’s definitely wrong. Marquez is a metadata service that implements the OpenLineage API. Together, they are the most popular standardized way to collect, store, and analyze metadata about data pipelines, across various tools and systems. It’s 9am and you’re rushing to generate a report for your 10 a.m.

Python 52

Python Datasets Metadata Data 52

ThoughtSpot

JUNE 28, 2023

Fine-grained personal access token that allows Read access to metadata and Read and Write access to code and commit statuses. Applying analytics-as-code principles, we initially developed a scriptable approach with TML to automate the lifecycle management of analytic content across environments. vcs/git/config/create REST API v2.0

Metadata 97

Metadata Accessible Accessibility Coding 97

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 89

Building Metadata Transportation Data Ingestion 89

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

Netflix Tech

SEPTEMBER 18, 2024

To overcome these challenges, we developed a holistic approach that builds upon our Data Gateway Platform. Chunked data can be written by staging chunks and then committing them with appropriate metadata (e.g. Instead of immediate deletion, item metadata is updated as expired with randomly jittered TTL applied to stagger deletions.

Bytes 99

Bytes Metadata Database Data 99

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 95

Data Governance Government Metadata Datasets 95

Ascend.io

APRIL 22, 2024

A unified platform that combines a powerful metadata core, an extensible plugin architecture, DataAware automation, and multiple AI Assistants. But as they add more data sources, implement real-time streaming pipelines, and build out a modern data lake, the complexity compounds quickly.

Project 52

Project Metadata Data Pipeline Data Engineer 52

Netflix Tech

JULY 22, 2024

A workflow definition is defined in a JSON format. Maestro combines user-supplied fields with those managed by Maestro to form a flexible and powerful orchestration definition. A Maestro workflow definition comprises two main sections: properties and versioned workflow including its metadata.

Machine Learning 102

Machine Learning Coding Data Pipeline Java 102

Cloudera

MARCH 14, 2023

Key requirements for building data pipelines Every data pipeline starts with a business requirement. Developers who are tasked with building these data pipelines are looking for tooling that: Gives them a development environment on demand without having to maintain it.

Data Pipeline 82

Data Pipeline Designing Kafka Metadata 82

dbt Developer Hub

DECEMBER 5, 2021

It's more important to think about how features build upon themselves (and each other) rather than how quickly they do so.* We will build on this later, but right now, the important thing to do is create a model in dbt, give dbt a command, and see that it properly produces the view or table in our warehouse that we expect.

Project 52

Project Building Metadata BI 52

Data Engineering Podcast

MAY 18, 2021

In order to eliminate the wasted effort of building custom integrations every time you want to combine lineage information across systems Julien Le Dem introduced the OpenLineage specification. What is the current state of the ecosystem for generating and sharing metadata between systems? What are your goals for the OpenLineage effort?

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

Christophe Blefari

JUNE 16, 2023

Metis: building Airbnb’s next generation data management platform — The new manifesto for every data governance company /S. Data graph create an entity diagram from the semantic definition with the API offers you an endpoint to launch pre-aggregations jobs from your scheduler. Telmai raises $5.5m seed round.

Programming Language 130

Programming Language SQL PostgreSQL Data 130