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. Differing data types, transaction support, and other complexities can make it tricky to design efficient cross-database testing.

SQL 52

SQL Datasets Database High Quality Data 52

Data Engineering Podcast

FEBRUARY 26, 2023

Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. What was the impact of leading multiple teams on the design of how to implement communication/contracts throughout the mesh?

Building 147

Building Metadata Machine Learning Data Integration 147

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

Tweag

MAY 16, 2023

Since the initial release (0.1), we’ve refined the semantics enough to be confident in a core design that is unlikely to radically change. A REPL nickel repl , a markdown documentation generator nickel doc and a nickel query command to retrieve metadata, types and contracts from code. The | symbol attaches metadata to fields.

MySQL 131

MySQL Metadata Data Validation Coding 131

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 84

Big Data Metadata Data Warehouse Data 84

Data Engineering Podcast

SEPTEMBER 11, 2022

In this episode he shares the design of the project and how it fits into your development practices. 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.

Systems 100

Systems Metadata Building MongoDB 100

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

Data Engineering Podcast

MAY 22, 2022

What are some of the ways that that manifests in the design and feature set? How have the design and goals of the platform changed/evolved since you first started working on it? What are the user personas that you prioritize in the design and feature development for Flyte? Can you describe the architecture of Flyte?

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Machine Learning Data Engineering Data Engineer Cloud 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 Engineering 100

Data Engineering Data Engineer Lambda Architecture Engineering 100

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 define entities abstractly as the basic building blocks for designing customer experience.

Metadata 86

Metadata Coding Banking Designing 86

Airbnb Tech

NOVEMBER 28, 2023

However, achieving the full data quality criteria required by Midas demands significant cross-functional investment to design, develop, validate, and maintain the necessary data assets and documentation. The score itself is computed in a daily offline data pipeline that collects and transforms various metadata elements from our data systems.

Data Warehouse 98

Data Warehouse Metadata Data Certification 98

Data Engineering Podcast

MARCH 5, 2023

Can you describe what your working definition of "Data Culture" is? austin) Podcast Episode Data Community Fund DataHub Podcast Episode Database Design For Mere Mortals by Michael J. TimeXtender Logo]([link] TimeXtender is a holistic, metadata-driven solution for data integration, optimized for agility.

Building 147

Building Database Design Metadata Machine Learning 147

Towards Data Science

NOVEMBER 4, 2023

How to Become a Data Engineer As a data engineer, I am tasked to design efficient data processes almost every day. Typical Airflow architecture includes a schduler based on metadata, executors, workers and tasks. """DAG definition for recommendation_bespoke model training.""" Consider this example below.

Data Engineering 86

Data Engineering Data Engineer Engineering BI 86

Knowledge Hut

MARCH 7, 2024

Two, it creates a commonality of data definitions, concepts, metadata and the like. Even the way Big Data is designed makes it harder for enterprises to ensure data security. This implies two things, one, the data coming from one source is out of date when compared to another source.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Data Engineering Podcast

MARCH 27, 2022

What is your working definition of "data governance" and how does that influence your product focus and priorities? How have the design and goals of the system changed or evolved since you started working on it? Acryl]([link] The modern data stack needs a reimagined metadata management platform.

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Data Governance Government Cloud Building 130

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

LinkedIn Engineering

APRIL 25, 2023

GraphQL Architecture The GraphQL architecture we use at LinkedIn is unique due to some of the decisions we took during the design phase. resource definitions, their entity schemas and their relationship definitions as input and generates a federated GraphQL type system. Given that our Rest.li

Architecture 109

Architecture Metadata Java Transportation 109

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. Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow.

BI 100

BI Data Warehouse Metadata SQL 100

DoorDash Engineering

APRIL 12, 2023

The Metrics Layer, also known as a Semantic Layer, is a critical component of the modern data stack that has recently received significant industry attention offers a powerful solution to the challenge of standardizing metric definitions. We will also dive deep into our design and implementation processes and the lessons we learnt.

SQL 82

SQL Metadata Raw Data Government 82

DoorDash Engineering

DECEMBER 5, 2023

Key terminology Here are definitions and links to further documentation about the tools we used. Exposes a unique hardware definition language (HDL) for configuring compute resources. Designed for monitoring application and infrastructure metrics. Figure 3 illustrates the high level architecture of the future design.

Kafka 91

Kafka Programming Language Metadata Architecture 91

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables are governed as per agreed upon company standards.

Big Data 78

Big Data Data Management Management Metadata 78

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

Data Engineering Podcast

MAY 18, 2021

Molecula is an enterprise feature store that operationalizes advanced analytics and AI in a format designed for massive machine-scale projects without having to manage endless one-off information requests. What is the current state of the ecosystem for generating and sharing metadata between systems?

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

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

Ascend.io

FEBRUARY 28, 2024

Through the design and maintenance of efficient data pipelines , data engineers facilitate the seamless flow and accessibility of data for AI processing. This detailed metadata allows AI systems to better understand the nuances of data, including its origin, purpose, and limitations, thus improving model accuracy and applicability.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

dbt Developer Hub

JULY 26, 2022

Ultimately, this looks like people being able to interact with trusted datasets in the tools that they are comfortable with (and eventually new tools designed specifically around metrics). Best of all, definition changes would get reflected in downstream tools, so you no longer need to manually search and update every downstream dependency.

Metadata 52

Metadata BI Datasets SQL 52

Monte Carlo

FEBRUARY 9, 2023

architecture (with some minor deviations) to achieve their data integration objectives around scalability and use of metadata. “A The other advantage is because we follow a standard design, we are able to generate a lot of our code using code templates and metadata. methodology. This layer has minimal transformation rules.

Architecture 52

Architecture Raw Data Metadata Data Warehouse 52

Data Engineering Podcast

FEBRUARY 6, 2022

Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow. Now all the data users can use software engineering best practices – git, tests and continuous deployment with a simple to use visual designer. How does it work? How does it work?

Data Pipeline 100

Data Pipeline Data Metadata Software Engineer 100

RandomTrees

FEBRUARY 6, 2024

Transformation: Shaping Data for the Future: LLMs facilitate standardizing date formats with precision and translation of complex organizational structures into logical database designs, streamline the definition of business rules, automate data cleansing, and propose the inclusion of external data for a more complete analytical view.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

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

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 79

BI Data ETL Tools Machine Learning 79

Data Engineering Podcast

SEPTEMBER 19, 2021

By connecting to your pipeline orchestrator like Apache Airflow and centralizing your end-to-end metadata, Databand.ai Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. How has the design and infrastructure changed or evolved since you first began working on it?

Machine Learning 100

Machine Learning Data Warehouse Banking Metadata 100

Data Engineering Podcast

NOVEMBER 20, 2021

How has that shifted the way that engineers approach pipeline design and composition? jobs, ops, graphs) One of the powerful elements of the Dagster framework is the investment in rich metadata as a foundational principle. What are your design principles for deciding the boundaries between OSS and commercial features?

Data Warehouse 100

Data Warehouse Data Lake BI Business Intelligence 100

Engineering at Meta

OCTOBER 31, 2023

SCARF coordinates several kinds of tasks for each data system: metadata collection (e.g., Coping with code usage Thinking of Meta’s code and data definitions as a single dependency graph, SCARF can be seen as a system that prunes leaves and isolated nodes in this graph. Each represents a class of data — not individual records.

Data 93

Data Metadata Coding Relational Database 93

Data Engineering Podcast

NOVEMBER 9, 2020

He also shares the internal architecture, how he approached the design to make it accessible and easy to use, and how it autodiscovers the schemas and metadata for your source systems. How has the design or direction of Tree Schema evolved since you first began working on it? What are the necessary elements for a data catalog?

Building 100

Building PostgreSQL BI Metadata 100

Cloudera

MAY 5, 2021

It mainly has 4 phases: Prepare : in this phase, YuniKorn proactively creates a certain number of placeholder pods based on the taskGroups definition. If you want to understand more about the design details, you can find the design doc here. Explanation: 2 Spark jobs are submitted to a resource queue simultaneously.

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Metadata Algorithm Big Data Machine Learning 135