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

Knowledge Hut

JUNE 4, 2024

For instance, the event metadata for an input event and a click event are different. $event Payload DOM events have useful information about the event in $event payload. The context of the event, i.e the information in the $event varies according to DOM event. values += event. values += ( event. target as HTMLInputElement ).

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

Monte Carlo

JULY 11, 2023

Inconsistencies may arise due to variations in data formats, coding schemes, or definitions used by different systems or data providers. Accurate data without the necessary context or metadata can be challenging to interpret or use effectively.

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

Monte Carlo

AUGUST 30, 2023

You can manually build macros in dbt to carry source metadata through your transformations, but this takes considerable time and resources and still won’t provide field-level lineage across the full data lifecycle. With dbt tests, no news is good news. Curious to learn more? We could talk data quality all day long.

SQL 52

SQL Datasets Database High Quality Data 52

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 114

Metadata Programming Programming Language Coding 114

Monte Carlo

JULY 10, 2023

That’s where the definition of data completeness comes in. Data profiling Data profiling uses a tool or programming language to surface metadata about your data. The same is true with data. If all the information in a data set is accurate and precise, but key values or tables are missing, your analysis won’t be effective.

Data Collection 40

Data Collection Data Governance Government Data 40

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

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

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 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

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 Data Validation Coding 135

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

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

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

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

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 160

Metadata Engineering Building Technology 160

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

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

Zalando Engineering

OCTOBER 18, 2023

The query directives are generally useful for clients to express certain types of metadata for the query. on FIELD_DEFINITION For example, it is used in a query definition as follows - type CustomerConsent { status : String ! We will discuss this in detail in the next section. The directive @sensitive is used for this purpose.

Metadata 82

Metadata Coding Banking Designing 82

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

Monte Carlo

MAY 14, 2024

At its core, a table format is a sophisticated metadata layer that defines, organizes, and interprets multiple underlying data files. For example, a single table named ‘Customers’ is actually an aggregation of metadata that manages and references several data files, ensuring that the table behaves as a cohesive unit.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Netflix Tech

SEPTEMBER 18, 2024

message Item ( Bytes key, Bytes value, Metadata metadata, Integer chunk ) Database Agnostic Abstraction The KV abstraction is designed to hide the implementation details of the underlying database, offering a consistent interface to application developers regardless of the optimal storage system for that use case. number of chunks).

Bytes 99

Bytes Metadata Database Data 99

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

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 96

Data Governance Government Metadata Datasets 96

Monte Carlo

JANUARY 23, 2024

Given that Max and his team couldn’t take a customer’s entire database, or even just the metadata, and fit it in the context window, “We realized we needed to be really smart about RAG, which is retrieving the right information to generate the right SQL. Those who don’t embrace it will be left behind. Max agrees. It’s hard with RAG.

Database-centric 52

Database-centric Pipeline-centric Metadata Unstructured Data 52

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

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

Monte Carlo

MARCH 4, 2024

To do this, data observability solutions like Monte Carlo will piece together information from query logs, data aggregates and system metadata. All of this is to say that how table formats are structured, and specifically the metadata, impacts how they can be monitored and observed. Now data teams can have their lake and eat it too.

Metadata 52

Metadata Data Lake Data Engineer Data Engineering 52

Pinterest Engineering

OCTOBER 2, 2024

Catalog/Metadata Management , which is responsible for storing and serving table metadata, including ownership, schemas, SLAs, etc., and also providing runtime metadata about the platform Security and Auditability , which ensures GDPR compliance, advanced levels of auditability, security, AAA, etc.

Data Management 56

Data Management Management Metadata SQL 56

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. vcs/git/config/create REST API v2.0

Metadata 97

Metadata Accessible Accessibility Coding 97

Data Engineering Weekly

JULY 7, 2024

[link] Jack Vanlightly: Understanding Apache Paimon's Consistency Model Part 1 Table formats are definitely a hot topic in the industry now. The author highlights Paimon’s consistency model by examining the metadata model. Apache Paimon is a relatively low-key format spun out of Flink’s table store.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Lake 98

Airbnb Tech

NOVEMBER 28, 2023

We identified the following objectives for the score: Evolve our understanding of data quality beyond a simple binary definition (certified vs uncertified). Luckily, we had two existing tools that would make this much easier: Dataportal (Airbnb’s data catalog and exploration UI), and the Unified Metadata Service (UMS).

Data Warehouse 98

Data Warehouse Metadata Data Certification 98

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

Ascend.io

APRIL 22, 2024

A unified platform that combines a powerful metadata core, an extensible plugin architecture, DataAware automation, and multiple AI Assistants. Lack of unified metadata makes it difficult to optimize pipelines, avoid redundant processing, and quantify data engineering costs.

Project 52

Project Metadata Data Pipeline Data Engineer 52

Cloudera

SEPTEMBER 29, 2022

The data product is not just the data itself, but a bunch of metadata that surrounds it — the simple stuff like schema is a given. And during this time they will by definition have a hybrid architecture. What are the different definitions of hybrid architectures? There are many definitions of the hybrid data architecture.

Architecture 74

Architecture Data Architecture Metadata Data Warehouse 74

Cloudera

FEBRUARY 8, 2024

Note that the materialized view definition contains the ‘stored by iceberg’ clause. The snapshotId of the source tables involved in the materialized view are also maintained in the metadata. Let’s create a materialized view that joins the three tables, has filter conditions, and does grouped aggregation.

Metadata 90

Metadata Data Warehouse BI AWS 90