RandomTrees

FEBRUARY 6, 2024

Modernization in Data Engineering with GenAI Generation: The Art of Data Creation: Generative AI has emerged as a potent tool for creating synthetic datasets. Ingestion: The Art of Data Assimilation: Ensuring the digital document accurately reflects the original handwritten material.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

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

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

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

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

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

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

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

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

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.

Architecture 130

Architecture Technology Google Cloud Metadata 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 95

Data Governance Government Metadata Datasets 95

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

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

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

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

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

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

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

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

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

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

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

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

Monte Carlo

DECEMBER 20, 2023

Data teams will look like software teams The most sophisticated data teams are viewing their data assets as bonafide data products—complete with product requirements, documentation, sprints, and even SLAs for end-users. It’s designed to be easily queryable with SQL even for large analytic tables with petabytes of data.

Amazon Web Services 52

Amazon Web Services Metadata AWS Data 52

Monte Carlo

DECEMBER 20, 2023

Data teams will look like software teams The most sophisticated data teams are viewing their data assets as bonafide data products—complete with product requirements, documentation, sprints, and even SLAs for end-users. It’s designed to be easily queryable with SQL even for large analytic tables with petabytes of data.

Amazon Web Services 52

Amazon Web Services Metadata AWS Data 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

Monte Carlo

JULY 25, 2023

This process includes managing the data quality, metadata, retention, semantics (meaning/purpose), access, operability, schema, and more. Data certification : Similar to Medallion architecture, some data teams will leverage a data certification strategy that involves categorizing datasets by their reliability and other key SLAs.

Raw Data 52

Raw Data Data Warehouse Data Architecture 52

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

Precisely

SEPTEMBER 5, 2023

MDM – Not the Silver Bullet The goal of MDM is to identify, validate, and resolve data issues as close to the source as possible while creating a “Gold Copy” master dataset for downstream systems and services to consume. That may include transactional and operational data, reference data, metadata , and audit information, for example.

Data Governance 52

Data Governance Government Data Management Management 52

Towards Data Science

MARCH 5, 2024

Also, storage is much cheaper than compute and that means: With pre-joined datasets, you exchange compute for storage resources! More information about this can be found in the official search index documentation. You can change the billing model in the advanced option for your datasets.

Bytes 71

Bytes Google Cloud Cloud Storage Utilities 71

Monte Carlo

JULY 11, 2023

Inconsistent data: Inconsistencies within a dataset can indicate inaccuracies. Data accuracy refers to the correctness of values within a dataset. Complete datasets are de-duplicated, they don’t have any missing values, and the information they contain are relevant for the analysis at hand.

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

LinkedIn Engineering

JANUARY 16, 2024

These records held vital metadata linked to the restriction, including essential timestamps. The brilliance of BF lies in their ability to represent large datasets of restrictions succinctly. Every time a new member restriction record was created, a corresponding Espresso document with the MemberId as the key was generated.

Kafka 84

Kafka Relational Database Java Architecture 84

Scott Logic

AUGUST 11, 2023

Search engines that search through websites on the internet are an example of a more general concept called a document search engine. In this context, a document is some structured data, containing a large piece of text (e.g. websites, books, song lyrics, etc) and metadata (e.g. How do we implement the search?

Engineering 52

Engineering AWS Datasets Metadata 52