Christophe Blefari

OCTOBER 20, 2023

a lea prepare command that creates database objects that needs to be created (dataset, schema, etc.). lea generates documentation as Markdown in the workdir. What should be the main entity type at the center of the semantics: metrics or datasets? You can even see the traditional Jaffle shop example done in lea.

Generalist 130

Generalist Entertainment NoSQL Datasets 130

Monte Carlo

OCTOBER 2, 2024

This involves documenting many parts of the data’s journey, including where it was stored, who owned it , and how it was uploaded, modified, and accessed. Marquez is a metadata service that implements the OpenLineage API. An example of a data lineage interface from Monte Carlo.

Python 52

Python Datasets Metadata Data 52

Netflix Tech

DECEMBER 3, 2022

mock Generate or validate mock datasets. " ) COMMENT "Example dataset brought to you by Dataflow. For more information on this and other examples please visit the Dataflow documentation page." This logic consists of the following parts: DDL code, table metadata information, data transformation and a few audit steps.

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

Snowflake

OCTOBER 7, 2024

Snowflake Dataset is a new schema-level object specially designed for machine learning workflows. For additional details, more end-to-end examples, and API reference, visit our documentation. Governance Snowflake Feature Store uses standard database objects, like schemas, dynamic tables and views.

Management 80

Management Building Datasets Government 80

ProjectPro

FEBRUARY 8, 2023

Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog. AWS Glue then creates data profiles in the catalog, a repository for all data assets' metadata, including table definitions, locations, and other features. For analyzing huge datasets, they want to employ familiar Python primitive types.

AWS 98

AWS Scala Metadata Data Lake 98

Christophe Blefari

JUNE 16, 2023

Data Documentation 101: Why? — Marie wrote best practices for establishing complete and reliable data documentation. The first advice is about the documentation readers: data team, business users or other stakeholders. Data warehouses are mutable, this is one of the many root causes proposed by Lucas. Telmai raises $5.5m

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Towards Data Science

FEBRUARY 6, 2024

General Material Data in SAP documented [link] ) Even though standard objects within ERP or CRM systems are well documented, I needed to deal with numerous custom objects and properties that require domain expertise as these objects cannot be found in the standard data models. Metadata update Data products need to be understandable.

Systems 77

Systems Raw Data Metadata Data Cleanse 77

dbt Developer Hub

FEBRUARY 12, 2024

That has often meant a manual, painstaking process of cross checking run logs and your dbt documentation site to get the stakeholder the information they need. dbt Explorer centralizes documentation, lineage, and execution metadata to reduce the work required to ship trusted data products faster. Enter dbt Explorer !

Metadata 59

Metadata Raw Data BI Project 59

Data Engineering Podcast

DECEMBER 16, 2019

Summary Building clean datasets with reliable and reproducible ingestion pipelines is completely useless if it’s not possible to find them and understand their provenance. The solution to discoverability and tracking of data lineage is to incorporate a metadata repository into your data platform.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

Rockset

APRIL 18, 2023

In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents. Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data. Why use vector search?

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

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

François Nguyen

MARCH 22, 2021

and he/she has different actions to execute (reading, calling a vision API, transform, create metadata, store them, etc…). The data domain Discovery portal with all the metadata on the data life cycle 4.Federated TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality.

Technology 130

Technology Architecture Google Cloud Metadata 130

Ascend.io

JULY 23, 2024

Examples include accessing public datasets, general business information, and publicly available statistics. Access to Non-Public Knowledge: At this level, AI systems can access internal documents, non-confidential reports, and other proprietary information not available to the public.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

dbt Developer Hub

OCTOBER 30, 2023

However, one of the questions I’ve received most frequently is guidance around “when” to clone that goes beyond the documentation on “how” to clone. Well, the warehouse “cheats” by only copying metadata from the source schema to the target schema; the underlying data remains at rest during this operation. How is this possible?

BI 52

BI Datasets Metadata Data Warehouse 52

Monte Carlo

MAY 20, 2024

This detailed compilation ensures that every aspect of the data is precisely documented, promoting consistency and clarity within the system. Typical contents of a data catalog include: Dataset Descriptions : Summaries of what each dataset contains, its purpose, and its business relevance.

Datasets 52

Datasets Data Government Business Analyst 52

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. ChatGPT screenshot showing the schema of a dataset and the documentation for it.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Precisely

APRIL 11, 2023

It’s critical that business analysts have the data they need and that IT has the appropriate metadata associated with those datasets for seamless replication into the cloud. Through an integrated workflow process, you can request, monitor, and document the access approval process to satisfy compliance and privacy requirements.

Accessible 52

Accessible Accessibility Metadata Data Integration 52

Monte Carlo

FEBRUARY 26, 2024

It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems. With Ataccama, AI detects related and duplicate datasets. Documentation can be largely automated and it propagates with lineage.

Metadata 52

Metadata Government Data Data Governance 52

Rockset

NOVEMBER 7, 2023

As a result, indexing of newly ingested vectors and metadata does not negatively impact search performance. FAISS-IVF at Rockset While Rockset is algorithm agnostic in its implementation of similarity indexing, for the initial implementation we leveraged FAISS-IVF as it’s widely used, well documented and supports updates.

Cloud 64

Cloud Metadata Database SQL 64

Precisely

SEPTEMBER 11, 2023

By 2025, 50% of data and analytics leaders will be using augmented MDM and active metadata to enhance their capabilities – demonstrating that beyond data quality, automation is also in demand for data governance, data catalog, and security solutions. Problem: “We’re uncertain about compliance with privacy regulations!

Metadata 52

Metadata Data Integration Datasets Data Analysis Tools 52

dbt Developer Hub

DECEMBER 19, 2023

The documentation will help you familiarize yourself with how our users interact with dbt. Integration points ​ Discovery API (formerly referred to as Metadata API) Overview — This GraphQL API allows you to query the metadata that dbt Cloud generates every time you run a dbt project. New to dbt Cloud? ​

Metadata 52

Metadata Cloud Accessible Accessibility 52

Monte Carlo

OCTOBER 5, 2023

By implementing robust error handling, ensuring data quality, optimizing performance, promoting collaboration among teams, and adhering to a well-structured, documented, and consistent process, you’ll accomplish your mission to consolidate data without the chaos. increased vigilance in maintaining thorough documentation and metadata.

Data Cleanse 52

Data Cleanse ETL Tools Datasets High Quality Data 52

Rockset

NOVEMBER 14, 2022

For this benchmark, Rockset denormalized the data and scaled the dataset size to 100 GB and 600M rows of data, a scale factor of 100. For highly-selective search queries, Rockset uses its search indexes to locate documents matching predicates and then fetches the corresponding values from the row store.

Metadata 52

Metadata Datasets Cloud Accessible 52

Data Engineering Weekly

AUGUST 25, 2024

The author summarizes the learning from the Google Search Engine paper leak and various public hearing documents from antitrust cases. However, it’s only by combining these with rich proprietary datasets and operational data streams that organizations can find true differentiation.

Data Engineering 70

Data Engineering Data Engineer Engineering Database-centric 70

Data Engineering Podcast

MARCH 5, 2022

You can observe your pipelines with built in metadata search and column level lineage. Select Star is a data discovery platform that automatically analyzes & documents your data. With Select Star’s data catalog, a single source of truth for your data is built in minutes, even across thousands of datasets.

PostgreSQL 100

PostgreSQL MongoDB Software Engineer Software Engineering 100

Rockset

MAY 8, 2023

Vector search is a method for efficiently finding and retrieving similar items from a large dataset based on representations of the data in a high-dimensional space. In this context, items can be anything, such as documents, images, or sounds, and are represented as vector embeddings. What is vector search?

Metadata 52

Metadata Algorithm Datasets Google Cloud 52

phData: Data Engineering

DECEMBER 16, 2021

A data catalog is a tool to store and access metadata about your data. The primary task of this nifty tool is to provide metadata (information about your data) throughout your organization. A data catalog provides a place to gather, explore, enhance, and maintain your metadata. What is Metadata? Where is it located?

Metadata 52

Metadata Datasets Data Accessible 52

phData: Data Engineering

SEPTEMBER 19, 2023

Metadata Management Data modeling methodologies help in managing metadata within the data lake. Metadata describes the characteristics, attributes, and context of the data. By incorporating metadata into the data model, users can easily discover, understand, and interpret the data stored in the lake.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Data Engineering Podcast

MARCH 13, 2022

You can observe your pipelines with built in metadata search and column level lineage. Select Star is a data discovery platform that automatically analyzes & documents your data. With Select Star’s data catalog, a single source of truth for your data is built in minutes, even across thousands of datasets.

Data 100

Data Metadata Software Engineer Software Engineering 100

Data Engineering Podcast

FEBRUARY 27, 2022

You can observe your pipelines with built in metadata search and column level lineage. Select Star is a data discovery platform that automatically analyzes & documents your data. With Select Star’s data catalog, a single source of truth for your data is built in minutes, even across thousands of datasets.

Unstructured Data 100

Unstructured Data Cloud Management Metadata 100

phData: Data Engineering

DECEMBER 16, 2021

When setting your data catalog, it is tempting to leave it with a technical team that can keep the automation running, onboard new datasets, and support upgrades and downtime. The Lead Steward will also be responsible for making sure the metadata is properly defined and agreed on. How will Human-Driven Metadata be Captured?

Metadata 52

Metadata Datasets Data Education 52

Databand.ai

JULY 28, 2022

What started as an idea of connecting between datasets quickly became a very confusing term that now gets misused often. These techniques include: Pattern-based lineage: Evaluates metadata for patterns in tables, columns, and reports rather than relying on any code to perform data lineage. What is Data Lineage?

Metadata 52

Metadata Data Lake Datasets Data Warehouse 52

Data Engineering Weekly

OCTOBER 30, 2022

1) multiple similar datasets often led to inconsistent results and wasted resources, 2) a lack of standards in data quality and reliability made it hard to find a trustworthy dataset among the long list of potential matches, and 3) complex and unnecessary dependencies among datasets led to poor and difficult maintainability.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

AltexSoft

FEBRUARY 11, 2023

Translating business requirements into an effective data infrastructure Data architects collect and document business requirements to clearly define objectives a company wants to reach with data. Setting a data governance policy A data governance policy is a document that covers data management goals, procedures, and business expectations.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Booking.com Engineering

DECEMBER 2, 2022

When our queries span both datasets, Federated Queries fetch real-time, snapshot-consistent data from both stores immediately. As an example, in one of our first BigQuery aggregations, we had a large query that joined statistics data with metadata, then aggregated over it.

Systems 52

Systems Cloud MySQL Relational Database 52

Cloudera

NOVEMBER 13, 2020

Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? So clearly Impala is used extensively with datasets both small and large. Metadata Caching. See the performance results below for an example of how metadata caching helps reduce latency.

Metadata 142

Metadata Coding SQL Database 142

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