erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset.”.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

O'Reilly on Data

FEBRUARY 11, 2020

These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc. They don’t have the resources they need to clean up data quality problems.

Data Quality 361

Data Quality Metadata Data Governance Publishing 361

Octopai

NOVEMBER 10, 2021

Metadata has been defined as the who, what, where, when, why, and how of data. Without the context given by metadata, data is just a bunch of numbers and letters. But going on a rampage to define, categorize, and otherwise metadata-ize your data doesn’t necessarily give you the key to the value in your data. Hold on tight!

Metadata 98

Metadata Management Interactive Strategy 98

AWS Big Data

NOVEMBER 14, 2024

Under the hood, UniForm generates Iceberg metadata files (including metadata and manifest files) that are required for Iceberg clients to access the underlying data files in Delta Lake tables. Both Delta Lake and Iceberg metadata files reference the same data files. The table is registered in AWS Glue Data Catalog.

Metadata 121

Metadata Data Warehouse Big Data Data Lake 121

AWS Big Data

JULY 29, 2024

In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient. You will learn about an open-source solution that can collect important metrics from the Iceberg metadata layer. This ensures that each change is tracked and reversible, enhancing data governance and auditability.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

AWS Big Data

JUNE 17, 2024

In particular, we discussed two key strategies: backup and restore and warm standby. In this post, we dive deep into the implementation for both strategies and provide a deployable solution to realize the architectures in your own AWS account. The solution for this post is hosted on GitHub. The steps are as follows: [1.a]

Strategy 111

Strategy Metadata Recreation/Entertainment Metrics 111

AWS Big Data

NOVEMBER 22, 2024

As a backup strategy, snapshots can be created automatically in OpenSearch, or users can create a snapshot manually for restoring it on to a different domain or for data migration. How RFS works OpenSearch and Elasticsearch snapshots are a directory tree that contains both data and metadata.

Snapshot 96

Snapshot Metadata Recreation/Entertainment Data Processing 96

Octopai

DECEMBER 12, 2021

Metadata is the pertinent, practical details about data assets: what they are, what to use them for, what to use them with. Without metadata, data is just a heap of numbers and letters collecting dust. Where does metadata come from? What is a metadata management tool? What are examples of metadata management tools?

Metadata 98

Metadata Management Data Quality Data Governance 98

Octopai

OCTOBER 18, 2021

First, what active metadata management isn’t : “Okay, you metadata! Now, what active metadata management is (well, kind of): “Okay, you metadata! Metadata are the details on those tools: what they are, what to use them for, what to use them with. . That takes active metadata management. Quit lounging around!

Metadata 98

Metadata Management IT Data Quality 98

AWS Big Data

NOVEMBER 11, 2024

For example, you can use metadata about the Kinesis data stream name to index by data stream ( ${getMetadata("kinesis_stream_name") ), or you can use document fields to index data depending on the CloudWatch log group or other document data ( ${path/to/field/in/document} ).

Metadata 121

Metadata Metrics Analytics Data Processing 121

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight.

Data Lake 106

Data Lake Sales Metadata Machine Learning 106

AWS Big Data

JANUARY 16, 2024

This makes it difficult to implement a comprehensive DR strategy. Within Airflow, the metadata database is a core component storing configuration variables, roles, permissions, and DAG run histories. A healthy metadata database is therefore critical for your Airflow environment.

Strategy 111

Strategy Metadata Metrics Dashboards 111

CIO Business Intelligence

OCTOBER 22, 2024

Cloud strategies are undergoing a sea change of late, with CIOs becoming more intentional about making the most of multiple clouds. A lot of ‘multicloud’ strategies were not actually multicloud. Today’s strategies are increasingly multicloud by intention,” she adds. s IT strategy but in a more opportunistic way.

Strategy 128

Strategy Cost-Benefit Risk Enterprise 128

AWS Big Data

DECEMBER 9, 2024

Each branch has its own lifecycle, allowing for flexible and efficient data management strategies. This post explores robust strategies for maintaining data quality when ingesting data into Apache Iceberg tables using AWS Glue Data Quality and Iceberg branches. We discuss two common strategies to verify the quality of published data.

Data Quality 124

Data Quality Publishing Snapshot Data Lake 124

AWS Big Data

NOVEMBER 19, 2024

Solution overview By combining the powerful vector search capabilities of OpenSearch Service with the access control features provided by Amazon Cognito , this solution enables organizations to manage access controls based on custom user attributes and document metadata. If you don’t already have an AWS account, you can create one.

Management 98

Management Metadata Manufacturing Testing 98

CIO Business Intelligence

JULY 6, 2023

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. The metadata from these applications will help the language model identify trends and understand patterns across a particular SaaS offering, Batta added.

Strategy 113

Strategy Metadata Enterprise Modeling 113

TDAN

JULY 20, 2021

How does Spotify win against a competitor like Apple? They use data better. Using machine learning and AI, Spotify creates value for their users by providing a more personalized experience.

Metadata 119

Metadata Machine Learning Data Architecture Data Strategy 119

AWS Big Data

NOVEMBER 19, 2024

Pricing and availability Amazon MWAA pricing dimensions remains unchanged, and you only pay for what you use: The environment class Metadata database storage consumed Metadata database storage pricing remains the same. His core area of expertise includes technology strategy, data analytics, and data science.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

AWS Big Data

DECEMBER 4, 2024

As organizations grapple with exponential data growth and increasingly complex analytical requirements, these formats are transitioning from optional enhancements to essential components of competitive data strategies. An Iceberg table’s metadata stores a history of snapshots, which are updated with each transaction.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

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.

Metadata 73

Metadata Data Governance Management Finance 73

TDAN

NOVEMBER 2, 2021

Answers will differ widely depending upon a business’ industry and growth strategy. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? But what […].

Data Governance 115

Data Governance Strategy Measurement IT 115

CIO Business Intelligence

NOVEMBER 19, 2024

For AI to be effective, the relevant data must be easily discoverable and accessible, which requires powerful metadata management and data exploration tools. An enhanced metadata management engine helps customers understand all the data assets in their organization so that they can simplify model training and fine tuning.

Management 116

Management Unstructured Data Deep Learning Metadata 116

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Rocket-Powered Data Science

MARCH 10, 2020

Such a masterpiece is probably also a saga (the story of a journey), containing intrigues, strategies, and plots that move ingeniously, methodically, and economically (in three acts or less) toward some climactic ending (thus representing pathfinding ). Context may include time, location, related events, nearby entities, and more.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

Smart Data Collective

AUGUST 25, 2020

Some of the benefits are detailed below: Optimizing metadata for greater reach and branding benefits. One of the most overlooked factors is metadata. Metadata is important for numerous reasons. Search engines crawl metadata of image files, videos and other visual creative when they are indexing websites.

Data mining 137

Data mining Metadata Big Data ROI 137

TDAN

MAY 31, 2022

The main goal of creating an enterprise data fabric is not new. It is the ability to deliver the right data at the right time, in the right shape, and to the right data consumer, irrespective of how and where it is stored. Data fabric is the common “net” that stitches integrated data from multiple data […].

Metadata 98

Metadata Enterprise IT Data Architecture 98

TDAN

APRIL 20, 2021

I published an article a few months back that was titled Where Does Data Governance Fit in a Data Strategy (and other important questions). In the article, I quickly outlined seven primary elements of a data strategy as an answer to one of the “other important questions.” The list of elements I used in that […].

Data Strategy 98

Data Strategy Strategy Data Governance Publishing 98

erwin

JANUARY 30, 2020

Constructing a Digital Transformation Strategy: How Data Drives Digital. The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. AI product estimation strategies.

Management 363

Management Machine Learning Experimentation Metrics 363

AWS Big Data

JUNE 10, 2024

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. The open table format accelerates companies’ adoption of a modern data strategy because it allows them to use various tools on top of a single copy of the data.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

AWS Big Data

DECEMBER 17, 2024

We have enhanced data sharing performance with improved metadata handling, resulting in data sharing first query execution that is up to four times faster when the data sharing producers data is being updated. We enhanced support for querying Apache Iceberg data and improved the performance of querying Iceberg up to threefold year-over-year.

Data Lake 96

Data Lake Data Warehouse Data-driven Optimization 96

Cloudera

MAY 6, 2021

In this article, I will be focusing on the contribution that a multi-cloud strategy has towards these value drivers, and address a question that I regularly get from clients: Is there a quantifiable benefit to a multi-cloud deployment? Risk Mitigation. Business Value Acceleration.

Strategy 92

Strategy Cost-Benefit Optimization Risk 92

erwin

MARCH 30, 2020

Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Essentially, metadata management is the administration of data that describes other data, with an emphasis on associations and lineage. Data lineage to support impact analysis.

Metadata 122

Metadata IT Data Governance Data Quality 122

AWS Big Data

OCTOBER 25, 2023

Solution overview Data and metadata discovery is one of the primary requirements in data analytics, where data consumers explore what data is available and in what format, and then consume or query it for analysis. But in the case of unstructured data, metadata discovery is challenging because the raw data isn’t easily readable.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

CIO Business Intelligence

MARCH 4, 2025

AgentExchange will drive agent consumption where an enterprise or a developer can get a head start on adopting and using agents, said Jason Andersen, principal analyst at Moor Insights & Strategy. Will it be easy to tie in ones own data to give a more personalized user experience?

Metadata 64

Metadata Manufacturing Finance Software 64

erwin

JANUARY 17, 2020

Data models provide visualization, create additional metadata and standardize data design across the enterprise. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. For some, the legacy approach to databases meets the needs of their current data strategy and maturity level.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138