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. Portable annotation APIs: seamlessly integrate into developer workflows ensuring: Consistent representation of data across all systems at Meta.

Metadata 67

Metadata Data Utilities Data Warehouse 67

Precisely

MAY 23, 2024

Key takeaways: Quickly adapt to market changes by easily adding new data sources and targets, ensuring your IT landscape evolves at the pace of your business. Gain a competitive edge with real-time data integration, crucial for time-sensitive decisions and actions in fraud detection and customer interactions.

Data Integration 64

Data Integration Metadata Telecommunication Data Governance 64

Precisely

FEBRUARY 9, 2024

In 2023, organizations dealt with more data than ever and witnessed a surge in demand for artificial intelligence use cases – particularly driven by generative AI. They relied on their data as a critical factor to guide their businesses to agility and success.

Data Integration 69

Data Integration Government Data Metadata 69

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. AI drives the demand for data integrity.

Data Analytics 59

Data Analytics Data Governance Government Data Integration 59

Precisely

DECEMBER 9, 2024

Top reported benefits of data governance programs include improved quality of data analytics and insights (58%), improved data quality (58%), and increased collaboration (57%). Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%).

Data Governance 64

Data Governance Government Data Integration Architecture 64

Precisely

OCTOBER 17, 2024

This year, our annual Data Integrity Summit, Trust ’24, was better than ever – and a big part of what made the event so exciting was our first-ever Data Integrity Awards ! What Can Your Business Accomplish with Data Integrity? Watch, learn, and get ready for better decisions grounded in trusted data.

Data Integration 69

Data Integration Data Governance Government Metadata 69

Ascend.io

JULY 11, 2024

Metadata is the information that provides context and meaning to data, ensuring it’s easily discoverable, organized, and actionable. It enhances data quality, governance, and automation, transforming raw data into valuable insights. This is what managing data without metadata feels like. Chaos, right?

Metadata 52

Metadata IT Government High Quality Data 52

Precisely

MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. As enterprise technology landscapes grow more complex, the role of data integration is more critical than ever before.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Cloudyard

OCTOBER 15, 2024

Read Time: 4 Minute, 21 Second Introduction Managing schema changes is a critical aspect of maintaining data integrity and consistency in dynamic data environments. When using Iceberg tables, every Data Definition Language ( DDL ) operation triggers the generation of a new metadata JSON file that captures the updated structure.

Metadata 52

Metadata Data Governance Government Data Integration 52

Ascend.io

DECEMBER 4, 2024

DataOps emphasizes automation, version control, and streamlined workflows to reduce the time it takes to move data from ingestion to actionable insights. This helps data teams deliver small, frequent updates rather than large, disruptive changes. Data Quality Management: Ensure data quality as data volumes grow.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Wayne Yaddow

MARCH 28, 2025

First: It is critical to set up a thorough data inventory and assessment procedure. Organizations must do a comprehensive inventory of their current data repositories, recording the data sources, kind, structure, and quality before starting data integration.

Data Integration 52

Data Integration Data Governance Government Datasets 52

Precisely

MAY 31, 2023

To innovate, compete, and grow in the current macroeconomic environment, enterprises must approach data strategically. A sound data strategy doesn’t happen by accident; it’s built on a foundation of data integrity , including accuracy, consistency, and rich context. Many organizations still struggle with data integrity.

Data Integration 52

Data Integration Metadata Data Governance Data 52

Precisely

MAY 23, 2024

Key takeaways: Quickly adapt to market changes by easily adding new data sources and targets, ensuring your IT landscape evolves at the pace of your business. Gain a competitive edge with real-time data integration, crucial for time-sensitive decisions and actions in fraud detection and customer interactions.

Data Integration 52

Data Integration Metadata Telecommunication Data Governance 52

Data Engineering Podcast

FEBRUARY 26, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. But don't worry, there is a better way.

Building 147

Building Machine Learning Metadata Data Integration 147

Data Engineering Podcast

FEBRUARY 19, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. But don't worry, there is a better way.

IT 147

IT Data Lake Metadata Data Warehouse 147

Precisely

NOVEMBER 14, 2023

When speaking to organizations about data integrity , and the key role that both data governance and location intelligence play in making more confident business decisions, I keep hearing the following statements: “For any organization, data governance is not just a nice-to-have! “ “Everyone knows that 80% of data contains location information.

Data Governance 119

Data Governance Government Metadata Retail 119

Ascend.io

DECEMBER 4, 2024

DataOps emphasizes automation, version control, and streamlined workflows to reduce the time it takes to move data from ingestion to actionable insights. This helps data teams deliver small, frequent updates rather than large, disruptive changes. Data Quality Management: Ensure data quality as data volumes grow.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Data Engineering Podcast

MARCH 5, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. But don't worry, there is a better way.

Building 147

Building Database Design Machine Learning Metadata 147

Data Engineering Podcast

NOVEMBER 20, 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. The biggest challenge with modern data systems is understanding what data you have, where it is located, and who is using it.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

phData: Data Engineering

NOVEMBER 8, 2024

First, we create an Iceberg table in Snowflake and then insert some data. Then, we add another column called HASHKEY , add more data, and locate the S3 file containing metadata for the iceberg table. In the screenshot below, we can see that the metadata file for the Iceberg table retains the snapshot history.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

phData: Data Engineering

NOVEMBER 1, 2024

VP of Architecture, Healthcare Industry Organizations will focus more on metadata tagging of existing and new content in the coming years. The technology for metadata management, data quality management, etc., To ensure data quality, platforms need consistent, automated processes with continuous testing and validation.

Government 52

Government Data Governance Finance Metadata 52

ThoughtSpot

OCTOBER 9, 2023

How ThoughtSpot builds trust with data catalog connectors For many, the data catalog is still the primary home for metadata enrichment and governance. Think: data descriptions, data quality markers, business owners, etc. Set how often you want the metadata to sync from Alation to ThoughtSpot.

Metadata 105

Metadata Data Government Data Governance 105

Pinterest Engineering

NOVEMBER 18, 2024

CDC allows applications to respond to these changes in real-time, making it an essential component for data integration, replication, and synchronization. Real-Time Data Processing : CDC enables real-time data processing by capturing changes as they happen. Why is CDC Important?

Kafka 50

Kafka MySQL Database Software Engineer 50

Precisely

JULY 31, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Let’s explore more of the report’s findings around data integrity maturity, challenges, and priorities.

Data Integration 52

Data Integration Telecommunication Data Governance Government 52

Striim

MARCH 21, 2025

In this post, we’ll share why Change Data Capture is ideal for near-real-time business intelligence and cloud migrations, and four different Change Data Capture methods. What is Change Data Capture? Change Data Capture is a software process that identifies and tracks changes to data in a database.

IT 52

IT Data Lake Data Warehouse Relational Database 52

Snowflake

NOVEMBER 29, 2023

Also, the associated business metadata for omics, which make it findable for later use, are dynamic and complex and need to be captured separately. Additionally, the fact that they need to be standardized makes the data discovery effort challenging for downstream analysis.

Metadata 117

Metadata Healthcare Medical Data Storage 117

Precisely

JUNE 22, 2023

As the financial services landscape has become more complex and sophisticated, the concept of data quality has evolved to imply a holistic approach that encompasses the overall trustworthiness of data. They have found ways to curate and manage data to instill confidence among decision-makers.

Data Integration 52

Data Integration Banking Data Governance Government 52

Towards Data Science

MAY 7, 2024

meetings with sales reps from all of the SaaS data integration tooling companies and are granted 14 day access to try their wares. These are primarily collected with cloud based integration platforms such as, but not limited to Fivetran, Airbyte, and Rivery in mind, but could apply to other cases as well!

ETL Tools 98

ETL Tools Metadata Data Integration Data Science 98

Precisely

JULY 21, 2023

Confluent data streams help accelerate innovation for data and analytics initiatives – but only when sourcing from data you can trust. Precisely – the global leader in data integrity and a proud Connect with Confluent program member – helps you build trust in your data to derive the insights your business users need.

Data Integration 52

Data Integration Kafka Bytes Banking 52

Maxime Beauchemin

JANUARY 20, 2017

It also becomes the role of the data engineering team to be a “center of excellence” through the definitions of standards, best practices and certification processes for data objects. In a fast growing, rapidly evolving, slightly chaotic data ecosystem, metadata management and tooling become a vital component of a modern data platform.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

Data Engineering Weekly

FEBRUARY 18, 2025

This capability, termed Union Read, allows both layers to work in tandem for highly efficient and accurate data access. Confluent Tableflow can bridge Kafka and Iceberg data, but that is just a data movement that data integration tools like Fivetran or Airbyte can also achieve.

Kafka 74

Kafka Lambda Architecture SQL Architecture 74

AltexSoft

OCTOBER 8, 2021

What’s more, that data comes in different forms and its volumes keep growing rapidly every day — hence the name of Big Data. The good news is, businesses can choose the path of data integration to make the most out of the available information. Data integration in a nutshell. Data integration process.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Data Engineering Podcast

MARCH 18, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. But don't worry, there is a better way.

Data Security 130

Data Security Machine Learning Data Science Metadata 130

Netflix Tech

NOVEMBER 14, 2023

Psyberg automates our data loads, making it suitable for various data processing needs, including intraday pipeline use cases. It leverages Iceberg metadata to facilitate processing incremental and batch-based data pipelines. Psyberg: The Game Changer! This is mainly used to identify new changes since the last update.

Data Engineering 108

Data Engineering Data Engineer Engineering Metadata 108

Netflix Tech

FEBRUARY 14, 2025

Collecting raw impression events Filtering & Enriching Raw Impressions Once the raw impression events are queued, a stateless Apache Flink job takes charge, meticulously processing this data. This refined output is then structured using an Avro schema, establishing a definitive source of truth for Netflixs impression data.

Kafka 66

Kafka Datasets Metadata Utilities 66

Netflix Tech

NOVEMBER 14, 2023

Using the summary column in snapshot metadata [see the Iceberg Metadata section in post 1 for more details], we parse out the partition information for each Iceberg snapshot of the source table. This information and other calculated metadata are stored in the psyberg_session_f table.

Data Process 93

Data Process Process Metadata Finance 93