Metadata – Data Interoperability’s Hidden Talent (Part Two)
ArcGIS
SEPTEMBER 23, 2024
Metadata, the data about your data, is incredibly important, and Data Interoperability can help you create, manage, and maintain that data.
Metadata Related Topics 
Data Engineering Best Practices - #2. Metadata & Logging
Start Data Engineering
FEBRUARY 22, 2024
Metadata: Information about pipeline runs, & data flowing through your pipeline 3.2. Introduction 2. Setup & Logging architecture 3. Data Pipeline Logging Best Practices 3.1. Obtain visibility into the code’s execution sequence using text logs 3.3. Understand resource usage by tracking Metrics 3.4.
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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate
Cloudera
NOVEMBER 13, 2024
It leverages knowledge graphs to keep track of all the data sources and data flows, using AI to fill the gaps so you have the most comprehensive metadata management solution. Together, Cloudera and Octopai will help reinvent how customers manage their metadata and track lineage across all their data sources.
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Metadata – Data Interoperability’s Hidden Talent (Part One)
ArcGIS
SEPTEMBER 23, 2024
Metadata, the data about your data, is incredibly important, and Data Interoperability can help you create, manage, and maintain that data.
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Machine Learning Metadata Store
KDnuggets
AUGUST 31, 2022
In this article, we will learn about metadata stores, the need for them, their components, and metadata store management.
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Level Up Your Data Platform With Active Metadata
Data Engineering Podcast
JUNE 19, 2022
Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data governance.
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Top 7 Metadata Management Tools
Hevo
AUGUST 16, 2024
Managing metadata has become crucial to any organization’s data strategy in today’s data-driven world. This is where metadata management tools come into play. Nowadays, businesses face the challenge of effectively managing their growing and complex data volumes.
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Tracking Schema Changes in Iceberg Tables Using Metadata Files
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.
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How Metadata Improves Security, Quality, and Transparency
KDnuggets
APRIL 25, 2022
Metadata is the data providing context about the data, more than what you see in the rows and columns. By managing your metadata, you're effectively creating an encyclopedia of your data assets.
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Metadata: What Is It and Why it Matters
Ascend.io
JULY 11, 2024
Metadata is the information that provides context and meaning to data, ensuring it’s easily discoverable, organized, and actionable. This is what managing data without metadata feels like. This is what managing data without metadata feels like. Effective metadata management is no longer a luxury—it’s a necessity.
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Metadata Management and Data Governance with Cloudera SDX
Cloudera
JANUARY 26, 2024
This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. First, a set of initial metadata objects are created by the data steward.
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Apache Ozone Metadata Explained
Cloudera
JUNE 2, 2021
As an important part of achieving better scalability, Ozone separates the metadata management among different services: . Ozone Manager (OM) service manages the metadata of the namespace such as volume, bucket and keys. Datanode service manages the metadata of blocks, containers and pipelines running on the datanode. .
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Metadata Management & Data Governance with Cloudera SDX
Cloudera
MARCH 4, 2024
This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. First, a set of initial metadata objects are created by the data steward.
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Eliminate Friction In Your Data Platform Through Unified Metadata Using OpenMetadata
Data Engineering Podcast
NOVEMBER 10, 2021
Summary A significant source of friction and wasted effort in building and integrating data management systems is the fragmentation of metadata across various tools. After experiencing the impacts of fragmented metadata and previous attempts at building a solution Suresh Srinivas and Sriharsha Chintalapani created the OpenMetadata project.
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Metadata Management And Integration At LinkedIn With DataHub
Data Engineering Podcast
AUGUST 24, 2020
The key to those solutions is a robust and flexible metadata management system. LinkedIn has gone through several iterations on the most maintainable and scalable approach to metadata, leading them to their current work on DataHub. What were you using at LinkedIn for metadata management prior to the introduction of DataHub?
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Why Column-Aware Metadata Is Key to Automating Data Transformations
Snowflake
JANUARY 25, 2023
Using column-level metadata to automate data pipelines I believe the best answer to these questions is that automation tools we use need to be column-aware. For the future, our automation tools must collect and manage metadata at the column level. And the metadata must include more than just the data type and size.
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Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data
Data Engineering Podcast
OCTOBER 15, 2021
Summary The binding element of all data work is the metadata graph that is generated by all of the workflows that produce the assets used by teams across the organization. What are some examples of automated actions that can be triggered from metadata changes? What are the available events that can be used to trigger actions?
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Octopai: Metadata Management for Better Business Intelligence with Amnon Drori - Episode 28
Data Engineering Podcast
APRIL 22, 2018
For this reason metadata management systems are built to track the journey of your business data to aid in analysis, presentation, and compliance. What are some of the types of information that you classify and collect as metadata? What are some of the challenges that are typically faced by metadata management systems?
Databook: Turning Big Data into Knowledge with Metadata at Uber
Uber Engineering
AUGUST 3, 2018
Data powers Uber’s global marketplace, enabling more reliable and seamless user experiences across our products for riders, … The post Databook: Turning Big Data into Knowledge with Metadata at Uber appeared first on Uber Engineering Blog.
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Metadata Store for Production ML!
KDnuggets
MAY 31, 2022
Add Layer to your existing ML code and quickly get a rich model and data registry with experiment tracking!
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Interesting startup idea: benchmarking cloud platform pricing
The Pragmatic Engineer
OCTOBER 17, 2024
Results are stored in git and their database, together with benchmarking metadata. Benchmarking results for each instance type are stored in sc-inspector-data repo, together with the benchmarking task hash and other metadata. There Then we wait for the actual data and/or final metadata (e.g.
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Using Images and Metadata for Product Fuzzy Matching with Zingg
databricks
SEPTEMBER 24, 2023
Product matching is an essential function in many retail and consumer goods organizations. Incoming products are compared to items in the existing product.
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Collecting And Retaining Contextual Metadata For Powerful And Effective Data Discovery
Data Engineering Podcast
AUGUST 13, 2022
Summary Data is useless if it isn’t being used, and you can’t use it if you don’t know where it is. Data catalogs were the first solution to this problem, but they are only helpful if you know what you are looking for.
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September 2021 dbt Update: DAG in the IDE + Metadata API in GA
dbt Developer Hub
SEPTEMBER 14, 2021
Embedding the DAG within the IDE makes investigating project structure a lot easier The Metadata API : Now in GA! Assess data health with the metadata generated by recent dbt job runs Dashboard Status Tiles : Embed this tile anywhere iFrames live to quickly check data freshness New Resources Things to Read ?
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Optimize Queries for Query History Metadata with Acceldata’s Data Observability Platform
Acceldata
MARCH 2, 2023
Learn how to use Acceldata's cloud data observability platform to optimize queries for query history metadata.
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Storing Cold Metadata, Snowflake Data Cloud, and More: Top 10 Links From Across the Web
Data Council
JANUARY 21, 2021
Storing Cold Metadata with Alki (Dropbox) Dropbox shared insights into Alki , the petabyte-scale metadata store it designed for infrequently accessed metadata (“cold data”). Here's our January 2021 roundup of links from across the web that could be relevant to you: 1.
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Databricks, Snowflake and the future
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.
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Book Metadata and Cover Retrieval Using OCR and Google Books API
KDnuggets
NOVEMBER 17, 2021
With KNIME extracting critical pieces of information from images becomes as easy as ABC.
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Data News — Week 24.11
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.
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Cloudera and Snowflake Partner to Deliver the Most Comprehensive Open Data Lakehouse
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.
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Modern Data Architecture: Data Mesh and Data Fabric 101
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.
Being Data Driven At Stripe With Trino And Iceberg
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?
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Iceberg Is An Implementation Detail
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. What is Iceberg?
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Turbocharging Atlas: How we reduced server initialization time to less than 2 minutes
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?
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Increase data literacy and trust with Alation data catalog integration
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.
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The Data Discovery Team
Jesse Anderson
NOVEMBER 14, 2023
That is done via a careful examination of all metadata repositories describing data sources. Once those repositories have been carefully studied, the identified data sources must be scanned by a data catalog, so that a metadata mirror of these data sources are made discoverable for the operations team.
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1. Streamlining Membership Data Engineering at Netflix with Psyberg
Netflix Tech
NOVEMBER 14, 2023
It leverages Iceberg metadata to facilitate processing incremental and batch-based data pipelines. Iceberg metadata and Psyberg’s own metadata form the backbone of its efficient data processing capabilities. All Iceberg tables have associated metadata that provide insight into changes or updates within the data tables.
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Build Data Products Without A Data Team Using AgileData
Data Engineering Podcast
NOVEMBER 13, 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. Atlan is the metadata hub for your data ecosystem. And don’t forget to thank them for their continued support of this show!
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Data Engineering Weekly #176
Data Engineering Weekly
JUNE 16, 2024
[link] Picnic: Open-sourcing dbt-score: lint model metadata with ease! The more metadata there is, the more readability of the model. It is often challenging as developers are not incentivized to produce quality metadata.
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Reflecting On The Past 6 Years Of Data Engineering
Data Engineering Podcast
FEBRUARY 5, 2023
Orchestration is now a part of most vertical tools Cloud data warehouses Data lakes DataOps and MLOps Data quality to data observability Metadata for everything Data catalog -> data discovery -> active metadata Business intelligence Read only reports to metric/semantic layers Embedded analytics and data APIs Rise of ELT dbt Corresponding introduction (..)
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Making Sense Of The Technical And Organizational Considerations Of Data Contracts
Data Engineering Podcast
DECEMBER 18, 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. Atlan is the metadata hub for your data ecosystem. And don't forget to thank them for their continued support of this show!
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A Look At The Data Systems Behind The Gameplay For League Of Legends
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. From analyzing your metadata, query logs, and dashboard activities, Select Star will automatically document your datasets.
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Data Engineering Best Practices - #1. Data flow & Code
Start Data Engineering
JULY 20, 2023
Know the when, how, & what (aka metadata) of pipeline runs for easier debugging 3. Ensure data is valid before exposing it to its consumers (aka data quality checks) 3.3. Avoid data duplicates with idempotent pipelines 3.4. Write DRY code & keep I/O separate from data transformation 3.5.
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Build Better Data Products By Creating Data, Not Consuming It
Data Engineering Podcast
NOVEMBER 6, 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. Atlan is the metadata hub for your data ecosystem. And don’t forget to thank them for their continued support of this show!
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