Netflix Tech

MARCH 28, 2025

This scenario underscored the need for a new recommender system architecture where member preference learning is centralized, enhancing accessibility and utility across different models. Therefore, its also important to let foundation models use metadata information of entities and inputs, not just member interaction data.

Metadata 84

Metadata Bytes Data Mining Entertainment 84

Cloudera

AUGUST 6, 2024

And for that future to be a reality, data teams must shift their attention to metadata, the new turf war for data. The need for unified metadata While open and distributed architectures offer many benefits, they come with their own set of challenges. Data teams actually need to unify the metadata. Open data is the future.

Metadata 82

Metadata Government Datasets Architecture 82

Engineering at Meta

APRIL 28, 2025

Each product features its own distinct data model, physical schema, query language, and access patterns. Understanding DataSchema requires grasping schematization , which defines the logical structure and relationships of data assets, specifying field names, types, metadata, and policies.

Metadata 64

Metadata Data Utilities Data Warehouse 64

Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 73

Metadata Data Governance Government Management 73

dbt Developer Hub

APRIL 20, 2025

We are committed to building the data control plane that enables AI to reliably access structured data from across your entire data lineage. We believe it is important for the industry to start coalescing on best practices for safe and trustworthy ways to access your business data via LLM. What is MCP?

Structured Data 98

Structured Data SQL BI Project 98

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

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.

Metadata 52

Metadata PostgreSQL Java Database 52

Snowflake

DECEMBER 4, 2024

For years, an essential tenet of digital transformation has been to make data accessible, to break down silos so that the enterprise can draw value from all of its data. Overall, data must be easily accessible to AI systems, with clear metadata management and a focus on relevance and timeliness.

Unstructured Data 97

Unstructured Data Data Lake Deep Learning Structured Data 97

Engineering at Meta

JANUARY 22, 2025

However, these tools are limited by their lack of access to runtime data, which can lead to false positives from unexecuted code. Improving consumption experience : streamline the consumption experience to make it easier for developers and stakeholders to access and utilize data lineage information.

Data Warehouse 109

Data Warehouse SQL Programming Language Data 109

Monte Carlo

APRIL 28, 2025

Next, look for automatic metadata scanning. Finally, access control helps keep things organized. 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. Its built for large-scale metadata management and deep lineage tracking.

Metadata 52

Metadata Hadoop Data SQL 52

Snowflake

APRIL 16, 2025

Other examples include retailers who integrate product photo metadata with transaction histories to gain deeper insights of how visuals influence purchase decisions. Healthcare organizations can improve patient outcomes by correlating imaging metadata with treatment protocols and demographics. for comprehensive visual analysis.

Data Analysis 75

Data Analysis Unstructured Data Manufacturing Retail 75

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 58

Hadoop Metadata Data Ingestion Data Governance 58

Precisely

FEBRUARY 26, 2025

These enhancements improve data accessibility, enable business-friendly governance, and automate manual processes. Many businesses face roadblocks within their critical enterprise data, including struggles to achieve greater accessibility, business-friendly governance, and automation.

Data Integration 64

Data Integration Data Management Management Data Governance 64

Precisely

NOVEMBER 18, 2024

Ultimately, they are trying to serve data in their marketplace and make it accessible to business and data consumers,” Yoğurtçu says. With the rise of cloud-based data management, many organizations face the challenge of accessing both on-premises and cloud-based data. Focus on metadata management.

Data Analytics 72

Data Analytics Data Governance Data Integration Government 72

Cloudyard

OCTOBER 15, 2024

When using Iceberg tables, every Data Definition Language ( DDL ) operation triggers the generation of a new metadata JSON file that captures the updated structure. This article outlines a process for efficiently tracking schema changes in Iceberg tables by leveraging Snowflake’s powerful metadata storage capabilities.

Metadata 52

Metadata Data Governance Government Data Integration 52

Snowflake

FEBRUARY 12, 2025

Agents need to access an organization's ever-growing structured and unstructured data to be effective and reliable. As data connections expand, managing access controls and efficiently retrieving accurate informationwhile maintaining strict privacy protocolsbecomes increasingly complex. text, audio) and structured (e.g.,

Unstructured Data 92

Unstructured Data Government SQL Structured Data 92

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? Want to see Starburst in action?

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

Snowflake

NOVEMBER 11, 2024

Ingest data more efficiently and manage costs For data managed by Snowflake, we are introducing features that help you access data easily and cost-effectively. This reduces the overall complexity of getting streaming data ready to use: Simply create external access integration with your existing Kafka solution.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

phData: Data Engineering

NOVEMBER 1, 2024

It serves as a vital protective measure, ensuring proper data access while managing risks like data breaches and unauthorized use. Challenges and Considerations Balancing data access and protection is essential as GenAI tools require broad access while still adhering to governance policies. No problem!

Government 52

Government Data Governance Finance Metadata 52

phData: Data Engineering

NOVEMBER 8, 2024

Then, we add another column called HASHKEY , add more data, and locate the S3 file containing metadata for the iceberg table. Hence, the metadata files record schema and partition changes, enabling systems to process data with the correct schema and partition structure for each relevant historical dataset.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

ThoughtSpot

APRIL 7, 2025

The challenge, however, lies in accessing the relevant data. The key question is how to identify relevant columns without accessing the actual dataset. Atlas : The in-house metadata store that enables us to deliver most of ThoughtSpot at scale and low latency. This eliminates the need to address the aforementioned challenges.

Metadata 52

Metadata Algorithm BI Machine Learning 52

Data Engineering Podcast

FEBRUARY 5, 2023

Sign up now for early access to Materialize and get started with the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses. Go to [dataengineeringpodcast.com/materialize]([link] Support Data Engineering Podcast

Data Engineer 147

Data Engineer Data Engineering Engineering PostgreSQL 147

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 core idea of Data Mesh is how you can develop the data usages and remove the centralized and monolitich data warehouse where you have very less access. What you have to code is this workflow !

Technology 130

Technology Architecture Google Cloud Metadata 130

Cloudera

NOVEMBER 13, 2020

Unlike traditional planners that need to consider accessing a table via a variety of types of index, Impala’s planner always starts with a full table scan and then applies pruning techniques to reduce the data scanned. Metadata Caching. See the performance results below for an example of how metadata caching helps reduce latency.

Metadata 143

Metadata Coding SQL Database 143

Snowflake

NOVEMBER 2, 2023

Snowflake Horizon is Snowflake’s built-in governance solution with a unified set of compliance, security, privacy, interoperability, and access capabilities. Snowflake continues to advance Snowflake Horizon with additional capabilities for compliance, security, privacy, interoperability, and access.

Metadata 131

Metadata Government AWS Medical 131

Ascend.io

DECEMBER 4, 2024

Are your tools simple to implement and accessible to users with diverse skill sets? Have you considered whether your data platform allows easy access, integration, and management of data by different teams? Assign cross-functional teams to manage these data products end-to-end to maintain quality, accessibility, and reliability.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Snowflake

NOVEMBER 29, 2023

In medicine, lower sequencing costs and improved clinical access to NGS technology has been shown to increase diagnostic yield for a range of diseases, from relatively well-understood Mendelian disorders, including muscular dystrophy and epilepsy , to rare diseases such as Alagille syndrome.

Metadata 117

Metadata Healthcare Medical Data Storage 117

François Nguyen

JANUARY 18, 2021

In every step,we do not just read, transform and write data, we are also doing that with the metadata. Every data governance policy about this topic must be read by a code to act in your data platform (access management, masking, etc.) Who has an access to this Data ? Last part, it was added the data security and privacy part.

Data Governance 130

Data Governance Metadata Government Data Pipeline 130

Snowflake

JUNE 5, 2024

At the same time, organizations must ensure the right people have access to the right content, while also protecting sensitive and/or Personally Identifiable Information (PII) and fulfilling a growing list of regulatory requirements. Additional built-in UI’s and privacy enhancements make it even easier to understand and manage sensitive data.

Government 116

Government Accessible Accessibility Cloud 116

Snowflake

APRIL 30, 2025

Ransomware is a type of malicious software that encrypts a victim's data or locks their device, demanding a ransom to restore access or to not expose the data. Prevention Access controls Access to Snowflake infrastructure is protected by multiple layers of security (defense in depth and zero trust ).

Accessible 52

Accessible Accessibility Metadata Cloud 52

Data Engineering Podcast

NOVEMBER 13, 2022

Shane Gibson co-founded AgileData to make analytics accessible to companies of all sizes. 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.

Building 130

Building Metadata MongoDB MySQL 130

Data Engineering Podcast

FEBRUARY 19, 2023

Your host is Tobias Macey and today I'm interviewing Ryan Blue about the evolution and applications of the Iceberg table format and how he is making it more accessible at Tabular Interview Introduction How did you get involved in the area of data management?

IT 147

IT Data Lake Metadata Data Warehouse 147

Snowflake

JUNE 11, 2024

The Snowflake Model Registry , in general availability, provides a centralized repository to manage all models and their related artifacts and metadata. Models are first-class, schema-level Snowflake objects that provide fine-grained role-based access control (RBAC).

Management 115

Management Government Metadata Python 115

Cloudera

OCTOBER 7, 2021

Data and Metadata: Data inputs and data outputs produced based on the application logic. Also included, business and technical metadata, related to both data inputs / data outputs, that enable data discovery and achieving cross-organizational consensus on the definitions of data assets.

Architecture 124

Architecture Metadata Kafka Government 124

Data Engineering Podcast

OCTOBER 30, 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. Many conversations around data and analytics are focused on self-service access. Atlan is the metadata hub for your data ecosystem.

Business Intelligence 130

Business Intelligence Metadata MongoDB MySQL 130

Snowflake

MAY 21, 2024

This will enable our joint customers to experience bidirectional data access between Snowflake and Microsoft Fabric, with a single copy of data with OneLake in Fabric. Data written by either platform, Snowflake or Fabric, will be accessible from both the platforms.

Metadata 137

Metadata Cloud Accessible Accessibility 137

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. Our data catalog integrations allow you to tap into this metadata wealth and surface it in the context where it’s needed most—when conducting business analytics.

Metadata 105

Metadata Data Government Data Governance 105