Octopai

OCTOBER 11, 2021

Data needs to be accompanied by the metadata that explains and gives it context. Without metadata, data is just a bunch of meaningless, unspecified numbers or words that are about as useful as a bunch of rocks (or shells). And without effective metadata discovery capabilities, metadata isn’t all that useful either.

Metadata 98

Metadata Data Collection Optimization IT 98

Ontotext

DECEMBER 15, 2022

Enter metadata. Metadata describes data and includes information such as how old data is, where it was created, who owns it, and what concepts (or other data) it relates to. As a result, leveraging metadata has become a core capability for businesses trying to extract value from their data. Knowledge (metadata) layer.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

Tim Mitchell

DECEMBER 15, 2020

If data is a train, then metadata is the track on which it travels. A good metadata definition in ETL processes will help to ensure that the flow of the data is predictable, robust, and is properly constrained to avoid errors. However, many ETL processes take a hands-off approach when it comes to metadata.

Metadata 52

Metadata IT 52

erwin

OCTOBER 24, 2019

While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata. This isn’t an easy task.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Octopai

SEPTEMBER 14, 2020

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do? What is metadata management?

Metadata 52

Metadata Management Data Processing Machine Learning 52

AWS Big Data

JUNE 7, 2023

In this blog, we discuss the technical challenges faced by Cargotec in replicating their AWS Glue metadata across AWS accounts, and how they navigated these challenges successfully to enable cross-account data sharing. Solution overview Cargotec required a single catalog per account that contained metadata from their other AWS accounts.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

Alation

OCTOBER 18, 2022

Yet every dbt transformation contains vital metadata that is not captured – until now. When combined with the dbt metadata API, a rich set of data, capturing its transformation history, can now be added to the Alation data catalog. Business metric definitions, including the description, configuration and calculation criteria.

Metadata 52

Metadata Metrics Recreation/Entertainment Data Quality 52

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. Metadata-Driven Automation in the BFSI Industry. Metadata-Driven Automation in the Pharmaceutical Industry. Metadata-Driven Automation in the Insurance Industry.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

TDAN

AUGUST 18, 2020

Standards exist for naming conventions, abbreviations and other pertinent metadata properties. Consistent business meaning is important because distinctions between business terms are not typically well defined or documented. What are the standards for writing […].

Management 96

Management Metadata Data Architecture IT 96

Ontotext

AUGUST 19, 2020

Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Inevitably, the information that could and needed to be expressed by metadata increased in complexity.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

Alation

AUGUST 18, 2022

It’s important to realize that we need visibility into lineage and relationships between all data and data-related assets, including business terms, metric definitions, policies, quality rules, access controls, algorithms, etc. Active metadata will play a critical role in automating such updates as they arise. Why Focus on Lineage?

Metadata 69

Metadata Visualization Statistics Data Architecture 69

Alation

FEBRUARY 20, 2020

Gartner predicts that “By 2020, 50% of information governance initiatives will be enacted with policies based on metadata alone.”. Magic Quadrant for Metadata Management Solutions , Guido de Simoni and Roxane Edjlali, August 10, 2017. Metadata management no longer refers to a static technical repository. – Gartner, Inc.,

Metadata 52

Metadata Management Data-driven Data Governance 52

Jim Harris

MAY 5, 2017

Spelling, pronunciation, and examples of usage are included in the dictionary definition of a word, which is a good example of one of the many uses of metadata, namely to provide a definition, description, and context for data. In practice, I haven’t encountered a metadata dictionary that could deliver on that promise.

Metadata 61

Metadata Publishing Management IT 61

Octopai

APRIL 8, 2019

Metadata is at the heart of every report, dashboard, data warehouse, visualization, and anything else the BI team produces. Without an understanding of the organization’s metadata, the BI team can’t match the data from multiple sources to produce a single view of the business. Money Loser #1: Manual Data Discovery.

Metadata 65

Metadata Dashboards Data Warehouse Visualization 65

AWS Big Data

NOVEMBER 7, 2024

Amazon Q generative SQL for Amazon Redshift uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights.

Metadata 89

Metadata Sales Data Warehouse Optimization 89

TDAN

JANUARY 3, 2024

Edwards Deming, the father of statistical quality control, said: “If you can’t describe what you are doing as a process, you don’t know what you’re doing.” When looking at the world of IT and applied to the dichotomy of software and data, Deming’s quote applies to the software part of that pair. The analogous […]

Statistics 52

Statistics Software Data Quality IT 52

erwin

JUNE 26, 2020

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. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

NOVEMBER 11, 2024

OpenSearch Ingestion supports up to 96 OCUs per pipeline, and 24,000 characters per pipeline definition file (see OpenSearch Ingestion quotas ). The IAM role ARN must be the same for both the OpenSearch Servicer sink definition and the Kinesis Data Streams source definition.

Metadata 99

Metadata Metrics Data Processing Analytics 99

CIO Business Intelligence

OCTOBER 15, 2024

“The data catalog is critical because it’s where business manages its metadata,” said Venkat Rajaji, Senior Vice President of Product Management at Cloudera. But the metadata turf war is just getting started.” Cloudera also has been investing in both Iceberg and REST catalog capability in its platform. And now, everyone knows.

Metadata 116

Metadata Data Processing Uncertainty Data Warehouse 116

AWS Big Data

OCTOBER 2, 2024

Governed Tables metadata will continue to exist within the AWS Glue Data Catalog, and the Governed Tables data will remain in your S3 buckets. If you specify partitions or buckets as part of the Apache Iceberg table definition, then you may run into the 100 partition per bucket limitation.

Snapshot 119

Snapshot Metadata Big Data Analytics 119

Octopai

OCTOBER 12, 2020

Organizations are turning to the cloud and automated metadata management tools to successfully manage their business’s data. Hear real use cases of BI teams who are leveraging metadata management automation on the cloud while working remotely Check out our webinar "BI During COVID-19." One word for you: Cloud. Watch the Webinar.

Metadata 52

Metadata Management Reporting Sales 52

Octopai

MAY 13, 2019

These processes often rely on humans performing manual discovery and documentation tasks for: – Metadata management – ETL specifications – Report definitions – Reporting errors – Changes to calculations …and many other aspects of the data environment. That something has to do with metadata management.

Metadata 40

Metadata Management Reporting Dashboards 40

TDAN

SEPTEMBER 17, 2019

Large organizations generally need a decentralized approach, to engage resources in all functional units (my definition of “a village”) to Operationalize data governance across many functional business […].

Data Governance 76

Data Governance Metadata Data Strategy Strategy 76

AWS Big Data

JUNE 17, 2024

Backup and restore architecture The backup and restore strategy involves periodically backing up Amazon MWAA metadata to Amazon Simple Storage Service (Amazon S3) buckets in the primary Region. The pipeline includes a DAG deployed to the DAGs S3 bucket, which performs backup of your Airflow metadata. The steps are as follows: [1.a]

Strategy 97

Strategy Metadata Recreation/Entertainment Metrics 97

DataKitchen

FEBRUARY 2, 2023

Most data governance tools today start with the slow, waterfall building of metadata with data stewards and then hope to use that metadata to drive code that runs in production. In reality, the ‘active metadata’ is just a written specification for a data developer to write their code.

Metadata 130

Metadata Testing Risk Data Science 130

CIO Business Intelligence

MAY 10, 2023

Through data governance practices, such as accurately labeled metadata and trusted parameters for ownership, definitions, calculations, and use, organizations can ensure they are able to organize and maintain their data in a way that can be useable for AI initiatives.

Metadata 98

Metadata Data Governance Modeling Consulting 98

CIO Business Intelligence

APRIL 25, 2024

The zero-copy pattern helps customers map the data from external platforms into the Salesforce metadata model, providing a virtual object definition for that object. “It When released, this will extend zero-copy data access to any open data lake or lakehouse that stores data in Iceberg or can provide Iceberg metadata for its table.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

AWS Big Data

OCTOBER 4, 2023

Business-driven domains – A DataZone domain represents the distinct boundary of a line of business (LOB) or a business area within an organization that can manage its own data, including its own data assets, its own definition of data or business terminology, and may have its own governing standards.

Metadata 108

Metadata Data Lake Publishing Data Governance 108

AWS Big Data

NOVEMBER 22, 2023

AWS Glue Crawler is a component of AWS Glue, which allows you to create table metadata from data content automatically without requiring manual definition of the metadata. One typical use case is to register Hudi tables, which does not have catalog table definition. Wait for the crawler to complete.

Data Lake 100

Data Lake Snapshot Metadata Optimization 100

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

JUNE 10, 2024

When evolving such a partition definition, the data in the table prior to the change is unaffected, as is its metadata. Only data that is written to the table after the evolution is partitioned with the new definition, and the metadata for this new set of data is kept separately. Here is where it can get complicated.

Data Lake 116

Data Lake Metadata Snapshot Analytics 116

AWS Big Data

JULY 24, 2024

aoss:UpdateSecurityConfig – Modify a given SAML provider configuration, including the XML metadata. IdP Metadata by choosing the link on the Realm settings page. You need this metadata, when you create the SAML provider in OpenSearch Serverless. Enter the IdP metadata you downloaded earlier from Keycloak.

Dashboards 106

Dashboards Metadata Visualization Consulting 106

erwin

DECEMBER 17, 2020

By having a single definition of something, complex ETL doesn’t have to be performed repeatedly. Once something is defined, then then everyone can map to the standard definition of what the data means. Cloud migration and other data platform modernization efforts: definition is missing here.

Modeling 90

Modeling Metadata Data-driven Data Lake 90

AWS Big Data

JUNE 22, 2023

How to create a table and load partitions in the Data Catalog using Athena Let’s begin by understanding how to create a table and load partitions using DDL (Data Definition Language) queries in Athena. We also can see the partition metadata on the AWS Glue console. Load the partitions using the command MSCK REPAIR TABLE.

Metadata 84

Metadata Management Recreation/Entertainment Optimization 84

erwin

MAY 27, 2020

Visualizing data from anywhere defined by its context and definition in a central model repository, as well as the rules for governing the use of those data elements, unifies enterprise data management. Provide metadata and schema visualization regardless of where data is stored. Nine Steps to Data Modeling.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Ontotext

NOVEMBER 11, 2024

As a hub for data, metadata, and content, they provide a unified, consistent, and unambiguous view of data scattered across different systems. Using semantic metadata, knowledge graphs provide a consistent view of diverse enterprise data, interlinking knowledge that has been scattered across different systems and stakeholders.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

DataKitchen

OCTOBER 11, 2021

Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. Definition of Done. Monitoring Job Metadata. Figure 7 shows how the DataKitchen DataOps Platform helps to keep track of all the instances of a job being submitted and its metadata.

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Testing Metadata Dashboards Statistics 154