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 66

Metadata Bytes Entertainment Data Mining 66

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 94

Unstructured Data Data Lake Deep Learning Structured Data 94

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

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

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

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

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

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 Engineering 147

Data Engineering Data Engineer 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

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 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 128

Metadata Government AWS Medical 128

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 80

Unstructured Data Government SQL Structured Data 80

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 115

Government Accessibility Accessible Cloud 115

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

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 107

Metadata Healthcare Medical Data Storage 107

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 136

Metadata Cloud Accessible Accessibility 136

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 112

Management Government Metadata Python 112

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

Snowflake

JULY 25, 2024

It supports “fuzzy” search — the service takes in natural language queries and returns the most relevant text results, along with associated metadata. Governed : Cortex Search services are schema-level objects in Snowflake and integrate with existing role-based access control (RBAC) policies in a Snowflake account.

Unstructured Data 131

Unstructured Data Metadata Government SQL 131

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Atlan is the metadata hub for your data ecosystem. Atlan is the metadata hub for your data ecosystem.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

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

JUNE 21, 2024

Zero Ingest with Zero Silos : Iceberg data already managed in a data lake can be accessed directly by Snowflake via an Iceberg catalog integration. You can quickly and easily access Iceberg data in Snowflake without the additional latency that comes with ingesting or copying data.

Data Lake 124

Data Lake BI Business Intelligence Metadata 124

Data Engineering Weekly

MARCH 23, 2025

s architecture, key capabilities (discoverability, access control, resource management, monitoring), client interfaces (UI, APIs, CLIs), benefits (agility, ownership, performance, security), and future considerations like self-serve onboarding, infrastructure as code, and an AI assistant. and then to Nuage 3.0,

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Snowflake

DECEMBER 12, 2023

To give customers flexibility for how they fit Snowflake into their data architecture, Iceberg Tables can be configured to use either Snowflake or an external service such as AWS Glue as the table’s catalog to track metadata, with an easy, one-line SQL command to convert the table’s catalog to Snowflake in a metadata-only operation.

Metadata 115

Metadata Python Government AWS 115

Netflix Tech

DECEMBER 3, 2022

This logic consists of the following parts: DDL code, table metadata information, data transformation and a few audit steps. DDL Often, the first step in a data pipeline is to define the target table structure and column metadata via a DDL statement. For the workflow orchestration we use Netflix homegrown Maestro scheduler.

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

Data Engineering Weekly

JUNE 16, 2024

[link] Yousry Mohamed: Delta Lake Liquid Clustering — A visual explanation Liquid clustering liberates the hive-style static partitioning and organizes the data layout from the accessing pattern. Apply for early access and achieve effective data orchestration in under 10 minutes!

Data Engineering 104

Data Engineering Data Engineer Engineering Kafka 104

Snowflake

JANUARY 23, 2024

Snowpark ML Operations: Model management The path to production from model development starts with model management, which is the ability to track versioned model artifacts and metadata in a scalable, governed manner. The Snowpark Model Registry API provides simple catalog and retrieval operations on models.

Machine Learning 137

Machine Learning Metadata Python Telecommunication 137