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 Engineering 130

Data Engineering Data Engineer Engineering Hadoop 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

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 Engineering 52

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

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 Warehouse Data Engineering 52

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 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 Metadata Machine Learning Data Integration 147

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 Engineering Data Engineer 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 Metadata Machine Learning 147

Knowledge Hut

MARCH 7, 2024

Two, it creates a commonality of data definitions, concepts, metadata and the like. Syncing Across Data Sources Once you import data into Big Data platforms you may also realize that data copies migrated from a wide range of sources on different rates and schedules can rapidly get out of the synchronization with the originating system.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

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

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

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 93

Data Governance Government Metadata Datasets 93

Marc Lamberti

SEPTEMBER 22, 2023

Digging into the official definition, you will see that Airflow is noted as an open-source platform that programmatically authors, schedules, and monitors workflows. Airflow stores metadata in it (DAG runs, XComs, Task instances, etc. Now you know what an orchestrator is, we can move on to the question, “What is apache airflow?”

Data Pipeline 130

Data Pipeline Python Metadata Database 130

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

Architecture 130

Architecture Technology Google Cloud Metadata 130

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 73

Architecture Data Architecture Metadata Data Warehouse 73

Cloudera

MARCH 14, 2023

The data flow life cycle with Cloudera DataFlow for the Public Cloud (CDF-PC) Data flows in CDF-PC follow a bespoke life cycle that starts with either creating a new draft from scratch or by opening an existing flow definition from the Catalog. Any flow definition in the Catalog can be executed as a deployment or a function.

Data Pipeline 80

Data Pipeline Designing Kafka Metadata 80

Christophe Blefari

FEBRUARY 3, 2023

What's often stays is that AE is between DE and DA, so the definition is often done complementarily to other positions. Select Star is another data catalog that automatically connects to your tools and provides the usual data catalog UI based on a search bar with metadata management inside. In the end actually, the answer depends.

BI 130

BI Google Cloud SQL Machine Learning 130

Data Engineering Podcast

JANUARY 7, 2022

In this episode Metaplane founder Kevin Hu shares his working definition of the term and explains the work that he and his team are doing to cut down on the time to adoption for this new set of practices. You can observe your pipelines with built in metadata search and column level lineage. What is your working definition of that term?

BI 100

BI Data Warehouse Metadata SQL 100

Monte Carlo

MARCH 12, 2024

Dataplex works with your metadata. As you add new data sources to your data stores, Dataplex leverages the structured and unstructured metadata with built-in data quality checks to maintain integrity. You can export these results to a BigQuery table, Looker dashboard, or other aggregated report to do a full analysis.

Google Cloud 52

Google Cloud Metadata SQL Data Lake 52

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution.

Government 78

Government Metadata Data Lake Data 78

Ascend.io

FEBRUARY 28, 2024

Metadata Management for Enhanced Machine Interpretation Data engineering extends its importance to the realm of metadata management, providing AI models with essential context about data definitions, classifications, and governance policies.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Christophe Blefari

JUNE 16, 2023

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. Masthead does not run SQL on your data—which generate costs uplift—but reading logs and metadata to identify anomalies. At the same time Masthead raises raises $1.3m

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Netflix Tech

NOVEMBER 13, 2023

The detailed temporal metadata SMAD provides about speech and music regions in a polyphonic audio mixture are a first step for structural audio segmentation, indexing and pre-processing audio for the following downstream tasks. The heavy usage of ambient sounds and sound effects blurs the boundaries between active music regions and non-music.

Datasets 89

Datasets Metadata Algorithm Architecture 89

Knowledge Hut

JULY 24, 2023

The ability of a DBMS to change its schema definition at one level without affecting the schema definition at the next level is called data independence. The system stores metadata about data which makes it easier to find and retrieve data. But why do we need data integrity in a DBMS? Physical Data Independence in DBMS 1.

Database Design 52

Database Design Relational Database Metadata Database 52

Netflix Tech

JANUARY 25, 2023

For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. Annotations Sometimes people describe annotations as tags but that is a limited definition. In Marken, an annotation is a piece of metadata which can be attached to an object from any domain.

Algorithm 113

Algorithm Media Metadata Data Ingestion 113

Data Engineering Podcast

OCTOBER 14, 2018

This is a highly detailed and technical exploration of how a well-engineered metadata layer can improve the speed, accuracy, and utility of large scale, multi-tenant, cloud-native data platforms. How do you handle files on disk that don’t contain all of the fields specified in a table definition?

Data Lake 100

Data Lake Big Data Cloud Hadoop 100

Towards Data Science

JUNE 16, 2023

Identifying your business-critical dashboards Looker exposes metadata about content usage in pre-built Explores that you can enrich with your own data to make it more useful. How to keep your critical data model definitions updated Automate as much as possible around tagging your critical data models. Source: synq.io Source: synq.io

BI 80

BI Data ETL Tools Machine Learning 80

Precisely

SEPTEMBER 5, 2023

That may include transactional and operational data, reference data, metadata , and audit information, for example. Here’s what data governance adds to the bigger picture: Definition: What does a particular term mean? In addition to managing master data, every business must also handle a variety of data from other sources.

Data Governance 52

Data Governance Government Data Management Management 52

Towards Data Science

APRIL 6, 2023

That’s possibly correct — but the size of the distributional shift should definitely lead to an anomaly alert! Here’s an example we’ve encountered at Opendoor: we receive 100,000 images on Day 1, and 20% are labeled “is_kitchen_image=True” . The next day, we receive 100,000 images and 50% are labeled “is_kitchen_image= False”.

Unstructured Data 84

Unstructured Data Metadata Data Coding 84

Data Engineering Podcast

FEBRUARY 6, 2022

You can observe your pipelines with built in metadata search and column level lineage. What are some of the best practices in the definition, protection, and enforcement of data privacy policies? You can observe your pipelines with built in metadata search and column level lineage.

Data Pipeline 100

Data Pipeline Data Metadata Software Engineer 100

Tweag

DECEMBER 12, 2022

It also provides metadata information such as descriptions, maintainers, and compatible platforms. Currently, search.nixos.org imports flake metadata through custom nix code that wraps flake evaluations. Metadata For Export nix flake show reads in the file flake.nix which provides an interface to artifacts like packages.

Metadata 40

Metadata Programming Software Engineer Software Engineering 40

Netflix Tech

JULY 30, 2019

Adoption As of writing this blog, Conductor orchestrates 600+ workflow definitions owned by 50+ teams across Netflix. The task definition parameter rateLimitFrequencyInSeconds sets the duration window, while rateLimitPerFrequency defines the number of tasks that can be scheduled in a duration window.

Metadata 75

Metadata Media AWS Transportation 75

dbt Developer Hub

DECEMBER 11, 2023

They contain metadata about your dbt models in a format that MetricFlow, the query builder that powers the semantic layer, can understand. Firstly, metric definitions and the generated SQL are centralized, and live in our dbt project, instead of being scattered across BI tools or sql clients.

Finance 64

Finance BI SQL Cloud 64

phData: Data Engineering

DECEMBER 16, 2021

The Lead Steward will also be responsible for making sure the metadata is properly defined and agreed on. Each domain would have a set of stewards with knowledge specific to that domain and the ability to create and support the metadata pertaining to it. How will Human-Driven Metadata be Captured?

Metadata 52

Metadata Datasets Data Education 52

dbt Developer Hub

JANUARY 24, 2023

The solution: Autoscaling CI ​ As of this writing, autoscaling CI is functionality built only within a python package, dbtc ; dbtc is an unaffiliated python interface to the dbt Cloud Metadata and Administrative APIs. In addition, it can use the same Slim CI job definition to run separate pull requests in parallel.

Metadata 52

Metadata Python Data Warehouse Cloud 52

Data Engineering Podcast

NOVEMBER 20, 2021

jobs, ops, graphs) One of the powerful elements of the Dagster framework is the investment in rich metadata as a foundational principle. What (if any) option do you see for language agnostic/multi-language pipeline definitions in Dagster? What do you see as the biggest threats to the future success of Dagster/Elementl?

Data Warehouse 100

Data Warehouse Data Lake BI Business Intelligence 100