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

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 Metadata Data Warehouse 119

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

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

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 Technology 98

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

Ontotext

AUGUST 22, 2023

Without metadata management and other data-related operations with semantic technologies, organizations often struggle to connect data sets and achieve a unified view of their enterprise data. Enter the Semantic Edge Era: How to Derive Value from Semantic Metadata The problem with Big Data is not the data itself.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

erwin

MARCH 30, 2020

These numerous data types and data sources most definitely weren’t designed to work together. Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Data profiling for data assessment, metadata discovery and data validation.

Metadata 122

Metadata IT Data Governance Data Quality 122

AWS Big Data

DECEMBER 13, 2023

EDLS job steps and metadata Every EDLS job comprises one or more job steps chained together and run in a predefined order orchestrated by the custom ETL framework. The metadata holds configurations for the file ingestion step to connect to Amazon S3 or SFTP endpoints and ingest files to target location.

Metadata 84

Metadata Data Lake Visualization Data Transformation 84

erwin

DECEMBER 3, 2020

This metadata is ingested into the data catalog, definitions are added within a business glossary, and the searchable repository enables users to understand how data is used and stored. Expanded AI capabilities to enrich metadata scanning and speed the handling of sensitive data for automated GDPR and CCPA compliance programs.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

erwin

JANUARY 14, 2021

In these cases, better data intelligence could have helped in assuring the correct address, enabling correct order fulfillment, and assisting with interpretation through better data definition and description. Technical metadata is what makes up database schema and table definitions.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

erwin

JANUARY 9, 2020

That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts. Data modeling provides visibility, management and full version control over the lifecycle for data design, definition and deployment.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets.

Data Governance 93

Data Governance Metadata Enterprise Data Processing 93

AWS Big Data

APRIL 19, 2023

We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The first component (metadata setup) consumes existing Hive job configurations and generates metadata such as number of parameters, number of actions (steps), and file formats. sql_path SQL file name.

Metadata 76

Metadata Testing Data Lake Consulting 76

erwin

JUNE 22, 2020

Now that pulling stakeholders into a room has been disrupted … what if we could use this as 40 opportunities to update the metadata PER DAY? Overcoming the 80/20 Rule with Micro Governance for Metadata. What if we could buck the trend, and overcome the 80/20 rule?

Metadata 105

Metadata Data Governance Digital Transformation Measurement 105

Octopai

MAY 31, 2022

A data catalog uses your data ecosystem’s metadata to build a complete picture of every data asset: definition, calculation, access level, stewardship roles, and previews. Bonus tool: active metadata management. An active metadata management tool adds a maître d’ to self-serve analytics. Asset, here we come!

Management 52

Management Metadata Business Intelligence ROI 52

Ontotext

MARCH 13, 2024

Through Ontotext Metadata Studio (OMDS), we then apply semantic content enrichment using text analysis based on our marketing vocabularies. This is what our marketing team uses to enrich new content with semantic metadata before publishing it. We store this in GraphDB by leveraging standard tooling for knowledge graph management.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

Cloudera

SEPTEMBER 29, 2022

The data product is not just the data itself, but a bunch of metadata that surrounds it — the simple stuff like schema is a given. And during this time they will by definition have a hybrid architecture. What are the different definitions of hybrid architectures? There are many definitions of the hybrid data architecture.

Data Architecture 73

Data Architecture Metadata Data Warehouse Sales 73

Cloudera

MARCH 14, 2023

The data flow life cycle with Cloudera DataFlow for the Public Cloud (CDF-PC) Data flows in CDF-PC follow a bespoke life cycle that starts with either creating a new draft from scratch or by opening an existing flow definition from the Catalog. Any flow definition in the Catalog can be executed as a deployment or a function.

Testing 80

Testing Publishing Metadata Interactive 80

Octopai

FEBRUARY 8, 2020

While some businesses suffer from “data translation” issues, others are lacking in discovery methods and still do metadata discovery manually. The solution is a comprehensive automated metadata platform. Unlike a Mars mission, it’s not rocket science, and Octopai’s automated metadata management tools can do the heavy lifting. ????.

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

Rocket-Powered Data Science

FEBRUARY 15, 2023

A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP. When people are encouraged to experiment, where small failures are acceptable (i.e., FUD occurs when there is too much hype and “management speak” in the discussions. The latter is essential for Generative AI implementations.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

Alation

APRIL 18, 2023

In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today. Definition and purpose of data profiling Data profiling is the process of analyzing and assessing the quality, structure, and content of data. What is data profiling?

IT 52

IT Data Quality Metadata Data Governance 52

datapine

SEPTEMBER 29, 2022

What is the definition of data quality? It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. This way, you make sure there is a common understanding of data definitions that are being used across the organization. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

OCTOBER 26, 2023

To earn your CBIP certification, you’ll need two or more years of full-time experience in CIS, data modeling, data planning, data definitions, metadata systems development, enterprise resource planning, systems analysis, application development, and programming or IT management.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Alation

JANUARY 9, 2023

That defining data is called metadata , which is data that describes data. The capture, organisation, and sharing of metadata calls for a data catalog. Without data organization and classification, data definitions, or a connection to the data owner, it is difficult to evaluate the risk level of data.

Risk Management 52

Risk Management Risk Management Metadata 52

Octopai

SEPTEMBER 21, 2020

When you have a well-structured data dictionary, you provide BI teams with an easy way to track and manage metadata throughout the entire enterprise. It’s a handy tool that provides BI teams, analysts, designers, and developers an easy way to understand their metadata at a glance.

Metadata 52

Metadata Enterprise Structured Data Business Intelligence 52

AWS Big Data

JUNE 15, 2023

AWS Glue crawlers extract the data schema and partitions from Amazon S3 to automatically populate the Data Catalog, keeping the metadata current. The Data Catalog then creates a searchable index based on these keys, reducing the time required to retrieve and filter partition metadata on tables with millions of partitions.

Data Lake 84

Data Lake Metadata Cost-Benefit Management 84

erwin

FEBRUARY 28, 2024

Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. There’s a multitude of capabilities that come to play in terms of evaluating metadata management tools, which would be more than we could cover here, but I will focus on two major areas: the business glossary and data lineage.

Metadata 52

Metadata Data Governance Data Quality Technology 52

erwin

MARCH 12, 2020

With metadata-driven automation, many DevOps processes can be automated, adding more “horsepower” to increase their speed and accuracy. But isn’t the definition of insanity doing the same thing over and over, expecting but never realizing different results? Just like with cars, more horsepower in DevOps translates to greater speed.

Metadata 140

Metadata Digital Transformation Data-driven Enterprise 140

AWS Big Data

AUGUST 16, 2023

Iceberg captures metadata information on the state of datasets as they evolve and change over time. AWS Glue crawlers will extract schema information and update the location of Iceberg metadata and schema updates in the Data Catalog. Choose Create.

Data Lake 74

Data Lake Metadata Snapshot Management 74

Alation

AUGUST 30, 2022

Centralization of metadata. A decade ago, metadata was everywhere. Consequently, useful metadata was unfindable and unusable. We pioneered the world’s first machine learning data catalog, centralizing technical, operational, business and behavioral metadata into one place. Activating metadata with Alation Anywhere.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution.

Metadata 78

Metadata Data Lake Optimization Modeling 78

Octopai

OCTOBER 8, 2020

A business glossary provides definitions for the information found inside of a dataset. Instead, it is an enterprise-wide tool that stores all business terms in one place and keeps track of precise definitions. Constraints Data Attributes Length Valid/ Default Values Business Definitions Connection to Other Data Fields Type.

Metadata 96

Metadata Reporting Management Business Intelligence 96

CIO Business Intelligence

MARCH 4, 2024

Harmonizing these data sets with centralized enterprise data faces increasing challenges as shifts to data definitions, schema, and architecture require constant central data team efforts. To deliver a cohesive data strategy, seamless data access and sharing requires the breaking down of data silos.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

AWS Big Data

DECEMBER 5, 2023

For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog. These table definitions are used as the metadata repository for external tables in Amazon Redshift.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79