Engineering at Meta

APRIL 28, 2025

Understanding DataSchema requires grasping schematization , which defines the logical structure and relationships of data assets, specifying field names, types, metadata, and policies. For example, in the data warehouse, it’s represented as a Dataset – an in-code Python class capturing the asset’s schema and metadata.

Metadata 83

Metadata Data Utilities Data Warehouse 83

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

Precisely

JANUARY 30, 2025

Key Takeaways: Prioritize metadata maturity as the foundation for scalable, impactful data governance. The past year brought significant changes, from the growing importance of metadata maturity to the increasing convergence of data governance and data quality practices. How can you further improve your strategy moving forward?

Data Governance 103

Data Governance Government Metadata Data 103

Snowflake

APRIL 2, 2025

Iceberg tables become interoperable while maintaining ACID compliance by adding a layer of metadata to the data files in a users object storage. An external catalog tracks the latest table metadata and helps ensure consistency across multiple readers and writers. Put simply: Iceberg is metadata.

Data Lake 97

Data Lake Cloud Storage Metadata Data Warehouse 97

Jesse Anderson

MAY 5, 2025

Shane diagrams Monte Carlo’s architecture, explaining how it uses agents, metadata, and query logs to provide lineage and monitor data health across complex stacks (Snowflake, Databricks, etc.). We then dive deep into Monte Carlo Data, defining data observability and the crucial concept of “data downtime” (TTD + TTR).

Unstructured Data 130

Unstructured Data Finance Metadata Architecture 130

Data Engineering Weekly

DECEMBER 28, 2024

Moreover, we anticipate a growing emphasis on intelligent data platforms that unify data and metadata, further supported by efforts to enhance data cataloging and lineage tracking. Data quality and privacy remain at the forefront, especially as AI applications demand fresh and accurate data.

Unstructured Data 112

Unstructured Data Metadata Government Data 112

KDnuggets

JUNE 12, 2025

Install them with: pip install pypdf langchain If you want to manage dependencies neatly, create a requirements.txt file with: pypdf langchain requests And run: pip install -r requirements.txt Step 1: Set Up the PDF Parser(parser.py) The core class CustomPDFParser uses PyPDF to extract text and metadata from each PDF page.

Building 57

Building Metadata Raw Data Data Science 57

Christophe Blefari

MARCH 15, 2024

Attributing Snowflake cost to whom it belongs — Fernando gives ideas about metadata management to attribute better Snowflake cost. This is Croissant. Starting today it will be supported by 3 majors platforms: Kaggle, HuggingFace and OpenML.

Metadata 272

Metadata Software Engineer Software Engineering Data Warehouse 272

Netflix Tech

JANUARY 6, 2025

In this case, the main stakeholders are: - Title Launch Operators Role: Responsible for setting up the title and its metadata into our systems. TitleSetup A titles setup includes essential attributes like metadata (e.g., This structured approach allows us to address all aspects of title health comprehensively.

Metadata 93

Metadata Algorithm Systems Engineering 93

Snowflake

NOVEMBER 12, 2024

Managing application state and metadata Use Hybrid Tables as the system of record for application configuration, user profiles, workflow state and other metadata that needs to be accessed with high concurrency. Customers such as Siemens and PowerSchool are leveraging Hybrid Tables to track state for a wide variety of use cases.

Food 97

Food Metadata Education Data Architect 97

Christophe Blefari

MARCH 1, 2023

You can also add metadata on models (in YAML). docs — in dbt you can add metadata on everything, some of the metadata is already expected by the framework and thank to it you can generate a small web page with your light catalog inside: you only need to do dbt docs generate and dbt docs serve.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

ProjectPro

JUNE 6, 2025

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. Why Use AWS Glue? being data exactly matches the classifier, and 0.0 doesn't match the classifier.

AWS 66

AWS Scala Metadata Data Lake 66

Engineering at Meta

JANUARY 21, 2025

Did someone say Metadata? There are even folks who create dashboards from this metadata to help other engineers identify expensive copying, use of inefficient or inappropriate C++ containers, overuse of smart pointers, and much more. Looking at function call stacks with flame graphs is great, nothing against it.

Technology 115

Technology Metadata Utilities Engineering 115

Netflix Tech

MARCH 24, 2025

The dynamic metadata included in our HDR10+ content improves the quality and accuracy of the picture when viewed on thesedevices. For all three HDR Formats, metadata is embedded in the content, serving as instructions to guide the playback devicewhether its a TV, mobile device, or computeron how to display theimage.

Metadata 102

Metadata Certification Media Technology 102

ThoughtSpot

NOVEMBER 5, 2024

In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. Any delays in metadata retrieval can negatively impact user experience, resulting in decreased productivity and satisfaction. What is Atlas?

Metadata 52

Metadata PostgreSQL Java Database 52

ProjectPro

JUNE 6, 2025

We can store the data and metadata in a checkpointing directory. In Spark, checkpointing may be used for the following data categories- Metadata checkpointing: Metadata rmeans information about information. It refers to storing metadata in a fault-tolerant storage system such as HDFS. appName('ProjectPro').getOrCreate()

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

It uses low-cost, highly scalable data lakes for storage and introduces a metadata layer to manage data processing. It includes features such as metadata, caching, and indexing, and is compatible with processing engines like Apache Spark , Apache Hive, and Presto. This results in a fast and scalable metadata handling system.

Data Lake 63

Data Lake Data Warehouse Metadata Unstructured Data 63

Cloudera

NOVEMBER 15, 2024

The metadata-driven approach ensures quick query planning so defenders don’t have to deal with slow processes when they need fast answers. Iceberg makes query planning more efficient by storing all of the table metadata–including partitioning and file locations–in a way that’s easy for query engines to consume.

Metadata 84

Metadata Unstructured Data Data Lake Government 84

ProjectPro

JUNE 6, 2025

Get Metadata Activity that can provide metadata about any data source. Elaborate more on the Get Metadata activity in Azure Data Factory. The Get Metadata activity is used to retrieve the metadata of any data in the Azure Data Factory or a Synapse pipeline. The maximum size of returned metadata is 4 MB.

Data Lake 60

Data Lake Metadata SQL Datasets 60

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Metadata 84

Metadata BI Data Lake Business Intelligence 84

Engineering at Meta

JANUARY 22, 2025

This approach is exemplified in the following code snippet: During runtime execution, Privacy Probes does the following: Capturing payloads : It captures source and sink payloads in memory on a sampled basis, along with supplementary metadata such as event timestamps, asset identifiers, and stack traces as evidence for the data flow.

Data Warehouse 116

Data Warehouse SQL Programming Language Data 116

Monte Carlo

APRIL 28, 2025

Next, look for automatic metadata scanning. It has real-time metadata updates, deep data lineage, and its flexible if you want to customize or extend it for your teams specific needs. OpenMetadata Source: DataHub Then theres OpenMetadata , which is kind of like the Swiss Army knife of metadata tools.

Metadata 64

Metadata Hadoop Data SQL 64

Cloudera

DECEMBER 19, 2024

This is a critical component of the AI workflow, and if I were going to bet on some of the reasons AI might not ultimately live up to the hype, my first guess would be that trusted data is harder to achieve than most organizations realize without a focus on metadata and a single source of security and governance.

AWS 75

AWS Metadata Government Machine Learning 75

Snowflake

JANUARY 15, 2025

Youll use the Rasterio Python library to create functions that extract the GeoTIFF metadata, evaluate the bands present in the GeoTIFF and ultimately read and convert the centroid of each pixel into vector data (points). Then evaluate the metadata and convert the points to a data type in the proper SRID. Load the GeoTIFF file.

Transportation 97

Transportation BI Database-centric Metadata 97

Cloudera

DECEMBER 3, 2024

REST Catalog Value Proposition It provides open, metastore-agnostic APIs for Iceberg metadata operations, dramatically simplifying the Iceberg client and metastore/engine integration. It provides real time metadata access by directly integrating with the Iceberg-compatible metastore. spark.sql(SELECT * FROM airlines_data.carriers).show()

Metadata 84

Metadata SQL Data Warehouse Database 84

Data Engineering Weekly

MARCH 5, 2025

This ecosystem includes: Catalogs: Services that manage metadata about Iceberg tables (e.g., Maintenance Processes: Operations that optimize Iceberg tables, such as compacting small files and managing metadata. Metadata Overhead: Iceberg relies heavily on metadata to track table changes and enable features like time travel.

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

Pinterest Engineering

JANUARY 31, 2025

To tackle the problem, we attach a piece of model version metadata to each ANN search service host, which contains a mapping from model name to the latest model version. The metadata is generated together with the index.

Systems 75

Systems Metadata Machine Learning Architecture 75

ProjectPro

JUNE 6, 2025

Metadata Layer 3. Efficient Metadata Management uses a manifest and snapshot system to reduce query planning time and I/O overhead. Its architecture is centered around immutability and versioned metadata, enabling scalable operations with consistency and speed. It maintains references to the latest metadata file for each table.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40

Christophe Blefari

JUNE 21, 2024

Below a diagram describing what I think schematises data platforms: Data storage — you need to store data in an efficient manner, interoperable, from the fresh to the old one, with the metadata. It adds metadata, read, write and transactions that allow you to treat a Parquet file as a table. That's why you need a catalog.

Metadata 147

Metadata Data Warehouse BI Scala 147

Cloudera

OCTOBER 10, 2024

Users may want to perform table maintenance functions, like expiring snapshots, removing old metadata files, and deleting orphan files, to optimize storage utilization and improve performance. Table Cleanup: As tables grow, they often accumulate unused data files, manifest files, and snapshots that aren’t needed anymore.

IT 84

IT Data Lake Metadata Data Warehouse 84

Snowflake

DECEMBER 4, 2024

Overall, data must be easily accessible to AI systems, with clear metadata management and a focus on relevance and timeliness. And data strategy must evolve to make sure that AI initiatives are aligned with business goals and are effectively instilling a data-driven culture in the organization.

Unstructured Data 97

Unstructured Data Data Lake Deep Learning Metadata 97

Precisely

JUNE 10, 2025

The Suite’s solution AI-powered match and merge, and metadata-driven automation. With AI-powered match and merge, metadata-driven pipelines, and pushdown optimization, your teams will: remediate data quality issues faster improve accuracy gain more reliable AI and analytics outcomes 2.

Data Integration 52

Data Integration Metadata Data Data Workflow 52

Data Engineering Weekly

MAY 25, 2025

link] Yuval Yogev: Making Sense of Apache Iceberg Statistics A rich metadata model is vital to improve query efficiency. The author did an excellent job of summarizing the levels of metadata collected by Iceberg, how to enable it, and what it is used for. and Lite 2.0) to pinpoint drop-offs and high retention sections.

Data Engineering 62

Data Engineering Data Engineer Engineering PostgreSQL 62

Snowflake

MARCH 6, 2025

Meanwhile, operations teams use entity extraction on documents to automate workflows and enable metadata-driven analytical filtering. Customer intelligence teams analyze reviews and forum comments to identify sentiment trends, while support teams process tickets to uncover product issues and inform gaps in a product roadmap.

Unstructured Data 97

Unstructured Data Media Medical Data Workflow 97

Cloudyard

FEBRUARY 17, 2025

In this blog, well address this challenge by building a metadata-driven solution using a JavaScript stored procedure that dynamically maps and loads only the required columns from multiple CSV files into their respective Snowflake tables. Metadata Proc Step 4: Execute the Stored Procedure.

Metadata 52

Metadata SQL Data Engineer Data Engineering 52

Data Engineering Weekly

NOVEMBER 24, 2024

Canva writes about its custom solution using dbt and metadata capturing to attribute costs, monitor performance, and enable data-driven decision-making, significantly enhancing its Snowflake environment management. link] JBarti: Write Manageable Queries With The BigQuery Pipe Syntax Our quest to simplify SQL is always an adventure.

Data Engineer 57

Data Engineer Data Engineering Engineering Insurance 57

Data Engineering Podcast

JUNE 16, 2024

what kinds of questions are you answering with table metadata what use case/team does that support comparative utility of iceberg REST catalog What are the shortcomings of Trino and Iceberg? What were the requirements and selection criteria that led to the selection of that combination of technologies?

Data Lake 147

Data Lake High Quality Data Metadata Government 147