Precisely

JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

Data Management 52

Data Management Management Metadata Database-centric 52

Snowflake

JUNE 11, 2024

The friction of having to set up and manage separate environments for features and models creates operational complexity that can be costly to maintain and difficult to use. With these new features in Snowflake ML, developers can leverage centralized, governed MLOps for faster management of features and models.

Management 91

Management Government Metadata Python 91

Cloudyard

MARCH 30, 2023

They are used to provide Snowflake access to unstructured datafiles and supports both of internal or external stage Query a directory table helps to retrieve the snowflake hosted file URL for each file present in stage. Directory tables metadata should be refreshed automatically when underlying stage gets updated.

Unstructured Data 52

Unstructured Data Accessible Accessibility Cloud Storage 52

The Pragmatic Engineer

OCTOBER 17, 2024

In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. The startup was able to start operations thanks to getting access to an EU grant called NGI Search grant. Results are stored in git and their database, together with benchmarking metadata.

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Cloud AWS Metadata Cloud Computing 279

Snowflake

OCTOBER 7, 2024

However, this often introduces the complexity of managing additional infrastructure for feature authoring, building and maintaining update pipelines, and establishing workflows to access consistent and fresh features. These steps then need to be scheduled and managed manually outside of the feature store.

Management 79

Management Building Datasets Government 79

Netflix Tech

MARCH 10, 2023

By Meenakshi Jindal Overview At Netflix, we built the asset management platform (AMP) as a centralized service to organize, store and discover the digital media assets created during the movie production. This pattern grows over time when we need to access and update the existing assets metadata.

Management 96

Management Kafka Metadata Media 96

Pinterest Engineering

OCTOBER 2, 2024

As a data serving platform, SDS is responsible for various aspects of the data lifecycle management, including: Online Query Serving , which offers multiple data models such as graph, table, document, etc. Catalog/Metadata Management , which is responsible for storing and serving table metadata, including ownership, schemas, SLAs, etc.,

Data Management 56

Data Management Management Metadata SQL 56

Edureka

OCTOBER 9, 2024

AWS KMS simplifies creating and managing keys for data protection. This blog discusses extensively about what AWS Key Management Services is and what training options are available for techies. This blog discusses extensively about what AWS Key Management Services is and what training options are available for techies.

AWS 40

AWS Management Amazon Web Services Metadata 40

Netflix Tech

MARCH 10, 2021

ConsoleMe: A Central Control Plane for AWS Permissions and Access By Curtis Castrapel , Patrick Sanders , and Hee Won Kim At AWS re:Invent 2020, we open sourced two new tools for managing multi-account AWS permissions and access. They are the one-stop-shop for cloud permissions and access. This happened for us at Netflix.

AWS 102

AWS Accessible Accessibility Cloud 102

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). While functional, our current setup for managing tables is fragmented.

Big Data 78

Big Data Data Management Management Metadata 78

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 82

Metadata BI Data Lake Business Intelligence 82

Precisely

OCTOBER 31, 2024

Key Takeaways: Data mesh is a decentralized approach to data management, designed to shift creation and ownership of data products to domain-specific teams. Data fabric is a unified approach to data management, creating a consistent way to manage, access, and share data across distributed environments.

Data Architecture 69

Data Architecture Architecture Metadata Government 69

Data Engineering Podcast

JUNE 16, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. 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?

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Data Lake High Quality Data Metadata Machine Learning 147

dbt Developer Hub

OCTOBER 3, 2024

These formats are changing the way data is stored and metadata accessed. Iceberg Data Catalog - an open-source metadata management system that tracks the schema, partition, and versions of Iceberg tables. The metadata management and performance make them very meaningful and should be paid attention to.

Metadata 86

Metadata Data Lake Data Storage Accessible 86

Cloudera

JULY 19, 2023

The Ozone Manager is a critical component of Ozone. It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale.

Management 69

Management Metadata Datasets Architecture 69

Confluent

MAY 7, 2019

Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. A big downside to this approach is that it would make our consumers stateful—ultimately making them hard to deploy, manage and scale.

Kafka 111

Kafka Accessible Accessibility Metadata 111

Engineering at Meta

FEBRUARY 20, 2024

This new convergence helps Meta and the larger community build data management systems that are unified, more efficient, and composable. Meta’s Data Infrastructure teams have been rethinking how data management systems are designed. An introduction to Velox Velox is the first project in our composable data management system program.

Data Management 100

Data Management Bytes Management Datasets 100

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

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 83

Data Architecture Architecture Management Banking 83

Monte Carlo

OCTOBER 11, 2024

And, perhaps the most important: “You can’t improve data quality without incident management.” The sad reality is that, even in today’s modern data landscape, incident management is often largely ad hoc—with detection only spurned into action when bad data makes its way into production. So how do you implement this for data quality?

Management 59

Management Data Programming Data Lake 59

Cloudera

NOVEMBER 15, 2024

The problem isn’t just the volume of the data, but also how difficult it is to manage and make sense of it. All of this data is essential for investigations and threat hunting, but existing systems often struggle to manage it efficiently. In many traditional systems, query planning can take as long as executing the query itself.

Metadata 82

Metadata Unstructured Data Data Lake Government 82

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. link] Sponsored: Enhance your data orchestration with DoubleCloud's Managed Airflow.

Data Engineer 104

Data Engineer Data Engineering Engineering Kafka 104

Cloudera

DECEMBER 3, 2024

Cloudera’s open data lakehouse, powered by Apache Iceberg, solves the real-world big data challenges mentioned above by providing a unified, curated, shareable, and interoperable data lake that is accessible by a wide array of Iceberg-compatible compute engines and tools.

Metadata 52

Metadata SQL Database Data Warehouse 52

RandomTrees

SEPTEMBER 17, 2024

In the realm of big data and AI, managing and securing data assets efficiently is crucial. Databricks addresses this challenge with Unity Catalog, a comprehensive governance solution designed to streamline and secure data management across Databricks workspaces. What is Unity Catalog? Advantages of the Unity Catalog 1.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

Cloudera

SEPTEMBER 28, 2021

Cloudera Data platform ( CDP ) provides a Shared Data Experience ( SDX ) for centralized data access control and audit in the Enterprise Data Cloud. The Ranger Authorization Service (RAZ) is a new service added to help provide fine-grained access control (FGAC) for cloud storage. Changes with file access control .

Accessible 61

Accessible Accessibility Cloud Cloud Storage 61

Data Engineering Podcast

FEBRUARY 5, 2023

Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? 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.

Data Engineer 147

Data Engineer Data Engineering Engineering PostgreSQL 147

Data Engineering Podcast

JANUARY 23, 2022

In this episode he shares his career journey, the challenges related to management of data professionals, and the platform design that he and his team have built to power analytics at a large company. You can observe your pipelines with built in metadata search and column level lineage. Closing Announcements Thank you for listening!

Building 100

Building Management Data Pipeline Metadata 100

Netflix Tech

SEPTEMBER 18, 2024

Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns. These include challenges with tail latency and idempotency, managing “wide” partitions with many rows, handling single large “fat” columns, and slow response pagination. number of chunks).

Bytes 99

Bytes Metadata Database Data 99

Ascend.io

MARCH 20, 2023

S3 now provides intelligent tiering , which automatically moves data into cheaper (and slower) tiers based not on age, but access patterns to the data. This pattern is a great fit for intelligent pipelines, which access older and newer data based on its relevance to delivering data products.

Management 52

Management AWS Cloud Storage Data Pipeline 52

Ascend.io

MARCH 20, 2023

S3 now provides intelligent tiering , which automatically moves data into cheaper (and slower) tiers based not on age, but access patterns to the data. This pattern is a great fit for intelligent pipelines, which access older and newer data based on its relevance to delivering data products.

Management 52

Management AWS Cloud Storage Data Pipeline 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. 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 Government Data Data Governance 105

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 101

Government Accessible Accessibility Cloud 101

Data Engineering Podcast

NOVEMBER 13, 2022

Shane Gibson co-founded AgileData to make analytics accessible to companies of all sizes. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs.

Building 130

Building Metadata MongoDB MySQL 130

Precisely

SEPTEMBER 5, 2023

Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises. Although MDM serves a vitally important function by ensuring the shared master data is managed correctly and is fit for purpose, it does not offer the same benefits as a full-blown data governance program.

Data Governance 52

Data Governance Government Data Management Management 52

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. CDP Private Cloud’s new approach to data management and analytics would allow HBL to access powerful self-service analytics. The post Habib Bank manages data at scale with Cloudera Data Platform appeared first on Cloudera Blog.

Banking 83

Banking Management Data Lake Professional Services 83

Snowflake

JUNE 21, 2024

The Snowflake Iceberg table implementation provides capabilities to interact directly with Iceberg and Parquet data in data lakes, as well as contribute to and manage Iceberg in an open lakehouse architecture. You can quickly and easily access Iceberg data in Snowflake without the additional latency that comes with ingesting or copying data.

Data Lake 114

Data Lake BI Business Intelligence Metadata 114

Snowflake

JANUARY 23, 2024

We have been making it easier and faster to build and manage ML models with Snowpark ML , the Python library and underlying infrastructure for end-to-end ML workflows in Snowflake. For Snowpark ML Operations, the Snowpark Model Registry allows customers to securely manage and execute models in Snowflake, regardless of origin.

Machine Learning 120

Machine Learning Metadata Python Telecommunication 120