Knowledge Hut

JANUARY 2, 2024

Multi-dimensional data model Similar to how Kubernetes labels infrastructure metadata, the model's structure is built on key-value pairs. Some of them may be configured to filter and match container metadata, making them perfect for ephemeral Kubernetes workloads. Kubernetes-pods: If the pod metadata is marked with prometheus.io/scrape

Architecture 98

Architecture Metadata Utilities Data Collection 98

dbt Developer Hub

APRIL 20, 2025

These tools can be called by LLM systems to learn about your data and metadata. With the dbt MCP server, LLMs can understand and query these metrics directly, ensuring that AI-generated analyses are consistent with your organization's definitions. Consider starting in a sandbox environment or only granting read permissions.

Structured Data 98

Structured Data SQL BI Project 98

Towards Data Science

MARCH 5, 2024

depending on location) BigQuery maintains a lot of valuable metadata about tables, columns and partitions. Utilize INFORMATION_SCHEMA to retrieve table metadata like distinct partition values, significantly reducing costs compared to traditional queries. GB Assuming we are running a SELECT * on this table, it would cost us 5.78

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

Knowledge Hut

FEBRUARY 1, 2024

Content-Based Filtering Content-based filtering utilizes the attributes & metadata of a movie to generate recommendations that share similar properties. However, the quality of content-based filtering can be affected if a movie's metadata is incorrectly labeled, misleading or limited in scope.

Systems 98

Systems Entertainment Algorithm Datasets 98

Monte Carlo

APRIL 28, 2025

Next, look for automatic metadata scanning. It has real-time metadata updates, deep data lineage, and its flexible if you want to customize or extend it for your teams specific needs. OpenMetadata Source: DataHub Then theres OpenMetadata , which is kind of like the Swiss Army knife of metadata tools. Its simple, but it works.

Metadata 52

Metadata Hadoop Data SQL 52

DataKitchen

FEBRUARY 20, 2025

Enhanced Testing & Profiling Copy & Move Tests with Ease The Test Definitions page now supports seamless test migration between test suites. Better Metadata Management Add Descriptions and Data Product tags to tables and columns in the Data Catalog for improved governance. DataOps just got more intelligent.

Datasets 73

Datasets Metadata Data Government 73

Data Engineering Podcast

AUGUST 13, 2022

Can you share your definition of "data discovery" and the technical/social/process components that are required to make it viable? Can you share your definition of "data discovery" and the technical/social/process components that are required to make it viable?

Metadata 100

Metadata MongoDB MySQL Scala 100

Netflix Tech

DECEMBER 3, 2022

Workflow Definitions Below you can see a typical file structure of a sample workflow package written in SparkSQL. ??? In every sample workflow package there are three workflow definition files that work together to provide flexible functionality. Attributes are set via Metacat , which is a Netflix internal metadata management platform.

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

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. To make this migration easier and as seamless as possible, we will give developers the ability to export their deep-link metadata.”

Metadata 189

Metadata Engineering Building Technology 189

Cloudyard

OCTOBER 15, 2024

When using Iceberg tables, every Data Definition Language ( DDL ) operation triggers the generation of a new metadata JSON file that captures the updated structure. This article outlines a process for efficiently tracking schema changes in Iceberg tables by leveraging Snowflake’s powerful metadata storage capabilities.

Metadata 52

Metadata Data Governance Government Data Integration 52

Tweag

MAY 16, 2023

Since the previous stable version ( 0.3.1 ), efforts have been made on three principal fronts: tooling (in particular the language server), the core language semantics (contracts, metadata, and merging), and the surface language (the syntax and the stdlib). The | symbol attaches metadata to fields.

MySQL 135

MySQL Metadata Coding Data Validation 135

Data Engineering Podcast

FEBRUARY 19, 2023

Acryl]([link] The modern data stack needs a reimagined metadata management platform. Acryl]([link] The modern data stack needs a reimagined metadata management platform. Acryl Data’s vision is to bring clarity to your data through its next generation multi-cloud metadata management platform.

IT 147

IT Data Lake Metadata Data Warehouse 147

Tweag

NOVEMBER 1, 2023

Instead of writing functions that return records and pipe them together, we write records directly where all fields might not have a definition yet. Metadata can be attached to record fields, giving them more expressive power and the ability to better describe an interface for a partial configuration. s t r i n g. s t r i n g.

Metadata 117

Metadata Programming Programming Language Coding 117

François Nguyen

JANUARY 18, 2021

In every step,we do not just read, transform and write data, we are also doing that with the metadata. The Dataops Heritage In my previous article, I have described the loop around the devops part of dataops. Last part, it was added the data security and privacy part.

Data Governance 130

Data Governance Metadata Government Data Pipeline 130

Data Engineering Podcast

NOVEMBER 6, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Can you share your definition of "behavioral data" and how it is differentiated from other sources/types of data?

Building 130

Building IT Metadata MongoDB 130

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

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

Data Engineering Podcast

FEBRUARY 26, 2023

What is your philosophy on enforcing uniformity in technical systems vs. relying on interface definitions as the unit of consistency? TimeXtender Logo]([link] TimeXtender is a holistic, metadata-driven solution for data integration, optimized for agility. How are you managing visibility/auditability across the different data domains?

Building 147

Building Machine Learning Metadata Data Integration 147

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 Accessible Accessibility 52

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

phData: Data Engineering

NOVEMBER 1, 2024

VP of Architecture, Healthcare Industry Organizations will focus more on metadata tagging of existing and new content in the coming years. Quotes I think many organizations practice data governance at a very high level, mostly at the policy and process definitional level. No problem! is fairly advanced.

Government 52

Government Data Governance Finance Metadata 52

ThoughtSpot

OCTOBER 9, 2023

How ThoughtSpot builds trust with data catalog connectors For many, the data catalog is still the primary home for metadata enrichment and governance. Our data catalog integrations allow you to tap into this metadata wealth and surface it in the context where it’s needed most—when conducting business analytics.

Metadata 105

Metadata Data Government Data Governance 105

François Nguyen

MARCH 22, 2021

This is really for us the definition of a self serve platform. and he/she has different actions to execute (reading, calling a vision API, transform, create metadata, store them, etc…). TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. What you have to code is this workflow

Technology 130

Technology Architecture Google Cloud Metadata 130

Engineering at Meta

FEBRUARY 4, 2025

For each data logs table, we initiate a new worker task that fetches the relevant metadata describing how to correctly query the data. The data logs workflow will gather metadata, then prepare requester IDs, then run parallel processes for each table. For instance, a Hack enum could define a set of user interface element references.

Accessibility 80

Accessibility Accessible Raw Data Data Warehouse 80

Data Engineering Podcast

MARCH 27, 2022

What is your working definition of "data governance" and how does that influence your product focus and priorities? Acryl]([link] The modern data stack needs a reimagined metadata management platform. Acryl Data’s vision is to bring clarity to your data through its next generation multi-cloud metadata management platform.

Data Governance 130

Data Governance Government Cloud Building 130

Data Engineering Podcast

MAY 22, 2022

What are the patterns that you and the community have established to encourage discovery and reuse of granular task definitions? How have you approached the design of data contracts/type definitions to provide a consistent/portable API for defining inter-task dependencies across languages?

Machine Learning 130

Machine Learning Data Engineer Data Engineering Cloud 130

Data Engineering Podcast

MARCH 5, 2023

Can you describe what your working definition of "Data Culture" is? TimeXtender Logo]([link] TimeXtender is a holistic, metadata-driven solution for data integration, optimized for agility. Can you describe what your working definition of "Data Culture" is? How are they interdependent?

Building 147

Building Database Design Machine Learning Metadata 147

Data Engineering Weekly

FEBRUARY 18, 2025

It maintains metadata, manages tablet allocation, lists nodes, and handles permissions. Consistency: A table creation will request CoordinatorServer, which creates the metadata and assigns replicas to TabeltServers (three replicas by default), one of which is the leader. How Fluss manages Real-Time Updates and Changelog Management?

Kafka 74

Kafka Lambda Architecture SQL Architecture 74

Data Engineering Podcast

JULY 24, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. How have the definitions shifted over the past few decades? Atlan is the metadata hub for your data ecosystem.

Data Engineer 100

Data Engineer Data Engineering Lambda Architecture Engineering 100

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 90

Big Data Data Warehouse Metadata Data 90

Snowflake

NOVEMBER 11, 2024

Support for auto-refresh and Iceberg metadata generation is coming soon to Delta Lake Direct. To help ensure that you are querying the latest versions of your tables, you can add an auto-refresh setting (generally available soon) to your Iceberg table and catalog integration definitions in SQL.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Netflix Tech

FEBRUARY 14, 2025

It filters out any invalid entries and enriches the valid ones with additional metadata, such as show or movie title details, and the specific page and row location where each impression was presented to users. This refined output is then structured using an Avro schema, establishing a definitive source of truth for Netflixs impression data.

Kafka 66

Kafka Datasets Utilities Metadata 66

Data Engineering Podcast

SEPTEMBER 11, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. What are the different places in a data system that schema definitions need to be established?

Systems 100

Systems Metadata Building MongoDB 100

Data Engineering Weekly

APRIL 20, 2025

If we can place the metadata, indexing, and recent data files in Express One, we can potentially build a Snowflake-style performant architecture in Lakehouse. Apache Hudi, for example, introduces an indexing technique to Lakehouse. We all know that data freshness plays a critical role in the performance of Lakehouse.

Data Engineer 68

Data Engineer Data Engineering Engineering Kafka 68

Maxime Beauchemin

JANUARY 20, 2017

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. In a fast growing, rapidly evolving, slightly chaotic data ecosystem, metadata management and tooling become a vital component of a modern data platform.

Data Engineer 130

Data Engineer Data Engineering Engineering ETL Tools 130

Wayne Yaddow

MARCH 28, 2025

Different schemas, naming standards, and data definitions are frequently used by disparate repository source systems, which can lead to datasets that are incompatible or conflicting. The danger of quality degradation is reduced when subsequent migration planning is supported by an accurate inventory and assessment.

Data Integration 52

Data Integration Data Governance Government Datasets 52

Christophe Blefari

JANUARY 20, 2024

Every company out there has his own definition for the data engineer role. What is data engineering As I said it before data engineering is still a young discipline with many different definitions. Reddit r/dataengineering wiki a place where some data eng definitions are written. Who are the data engineers? Is it really modern?

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130