Octopai

SEPTEMBER 22, 2019

Insurance Metadata Management. The keys to proper insurance data managemen t are data governance and metadata management. Data Governance and Metadata Management for the Insurance Industry. Both of these two keys deal with metadata. None of this is possible without robust metadata management.

Metadata 41

Metadata Insurance Management Data Governance 41

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

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

AWS Big Data

APRIL 3, 2024

Iceberg tables maintain metadata to abstract large collections of files, providing data management features including time travel, rollback, data compaction, and full schema evolution, reducing management overhead. Snowflake integrates with AWS Glue Data Catalog to retrieve the snapshot location.

Data Lake 98

Data Lake Snapshot Metadata Data Architecture 98

IBM Big Data Hub

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 73

Risk Modeling Management Metadata 73

AWS Big Data

SEPTEMBER 25, 2023

Amazon Redshift workload management (WLM) helps you maximize query throughput and get consistent performance for the most demanding analytics workloads by optimally using the resources of your existing data warehouse. ExampleCorp would like to manage resources and priorities on Amazon Redshift using WLM queues.

Management 99

Management Data Warehouse Metrics Dashboards 99

CDW Research Hub

OCTOBER 16, 2019

The importance of metadata. Metadata is best defined as data that characterizes data. Metadata provides the who, what, where, when, why and how of that information. When companies have a properly engineered process to create, store and manage metadata, it benefits all focus areas of the business.

Metadata 40

Metadata Cost-Benefit Metrics Marketing 40

erwin

JUNE 26, 2020

You also can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance. 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

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 92

Metadata Data Lake Visualization Data Transformation 92

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. This post (1 of 5) is the beginning of a series that explores the benefits and challenges of implementing a data mesh and reviews lessons learned from a pharmaceutical industry data mesh example.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Ontotext

OCTOBER 11, 2023

Scalability – a significant cost reduction for
scale-ups. Krasimira showcased how knowledge graphs, combined with semantic metadata , enhance LLMs for better content discovery, understanding, and question-answering. A year later, our project already reaps the benefits of knowledge-graph powered marketing. A demonstrator.

Metadata 69

Metadata Cost-Benefit Marketing Modeling 69

AWS Big Data

OCTOBER 3, 2023

Iceberg tables store metadata in manifest files. As the number of data files increase, the amount of metadata stored in these manifest files also increases, leading to longer query planning time. The query runtime also increases because it’s proportional to the number of data or metadata file read operations.

Optimization 114

Optimization Snapshot Data Lake Metadata 114

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. It is a tried-and-true practice for lowering data management costs, reducing data-related risks, and improving the quality and agility of an organization’s overall data capability. They might have 300 applications, with 50 different databases and a different schema for each one.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

erwin

JANUARY 30, 2020

However, more than 50 percent say they have deployed metadata management, data analytics, and data quality solutions. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant. Top Five: Benefits of An Automation Framework for Data Governance. The Benefits of Data Governance Automation.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

IBM Big Data Hub

MAY 9, 2022

A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. This architecture is agnostic to data environments, processes, utility and geography, all while integrating end-to-end data-management capabilities. million each year [1] and $1.2

Management 56

Management Data Quality Metadata Data Integration 56

AWS Big Data

MARCH 18, 2024

With a unified query interface, you can avoid the complexity of managing multiple query tools and gain a holistic view of your data assets regardless of where the data assets reside. You can consolidate your analytics workflows, reducing the need for extensive tooling and infrastructure management.

Data Lake 104

Data Lake Analytics Cost-Benefit Management 104

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. Expected cost benefits, however, often do not materialize.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

Jet Global

APRIL 5, 2021

It’s also built from the ground up to be straightforward for transfer teams to use and manage, without the ongoing support of IT specialists. It enables operational transfer pricing teams to access standardized command structures for each function, from adding entities to managing trial balances. Managing Functions.

Cost-Benefit 98

Cost-Benefit Metadata Forecasting Manufacturing 98

Ontotext

JULY 14, 2021

If you’ve missed one and if we’ve managed to peak your interest with this blog post, you can request a free recording. So, we’ve decided to start this series with a couple of Ontotext webinars giving the bird’s eye view: Knowledge Graph Maps: 20+ Application and 30+ Capabilities and Knowledge Graphs for Enterprise Data Management.

Management 52

Management Metadata Cost-Benefit Enterprise 52

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? Friction occurs when there is resistance to change or to success somewhere in the project lifecycle or management chain. The latter is essential for Generative AI implementations.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

AWS Big Data

JUNE 15, 2023

In today’s world, customers manage vast amounts of data in their Amazon Simple Storage Service (Amazon S3) data lakes, which requires convoluted data pipelines to continuously understand the changes in the data layout and make them available to consuming systems. Some of the resources that this stack deploys incur costs when in use.

Data Lake 91

Data Lake Metadata Cost-Benefit Management 91

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 87

Enterprise Data Warehouse Snapshot Cost-Benefit 87

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg is designed to support these features on cost-effective petabyte-scale data lakes on Amazon S3. The snapshot points to the manifest list.

Data Lake 121

Data Lake Data Processing Metadata Snapshot 121

erwin

SEPTEMBER 17, 2020

It’s paramount that organizations understand the benefits of automating end-to-end data lineage. Here are six benefits of automating end-to-end data lineage: Reduced Errors and Operational Costs. The actual job of backing things up will be managed by the system processes you set up for consistency and clarity.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Smart Data Collective

APRIL 5, 2022

There are a lot of powerful benefits of offering an incentive-based approach as hardware accelerators. Among other benefits, this helps make sure global computing resources are used as efficiently as possible and allows data science companies to take advantage of these resources at a reduced cost. IBM Watson Studio. Neptune.AI

Cost-Benefit 123

Cost-Benefit Machine Learning Data Science Unstructured Data 123

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) The solution brings many business benefits.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Managed : Dedicated resources, managed and adjusted with KPIs. Maturity Levels.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

erwin

APRIL 2, 2021

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data is a valuable asset used to operate, manage and grow a business.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

Octopai

APRIL 24, 2023

This new native integration enhances our data lineage solution by providing seamless integration with one of the most powerful cloud-based data warehouses, benefiting data teams and enabling support for a broader range of data lineage, discovery, and catalog.

Cost-Benefit 96

Cost-Benefit Data-driven Data Warehouse Data Governance 96

IBM Big Data Hub

APRIL 10, 2023

A well-designed data foundation can also be a game-changer when it comes to managing ESG (environmental, social, and governance) commitments. Fortunately, business benefits and ESG benefits are not mutually exclusive: sustainability efforts can help boost business value for organizations that are committed and effective in execution.

Strategy 90

Strategy Data Architecture Cost-Benefit Reporting 90

Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. Click To Tweet How knowledge graphs power data mesh and data fabric The second day’s keynote continued the idea of reframing the way we approach knowledge graph construction and enterprise data management.

Metadata 78

Metadata Sales Consulting Enterprise 78

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

Alation

MARCH 22, 2022

DataOps requires an array of technology to automate the design, development, deployment, and management of data delivery, with governance sprinkled on for good measure. In fact, DataOps places an outsized burden on data management teams. As with any next big thing, there is no free lunch. Accenture’s DataOps Leap Ahead.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

CIO Business Intelligence

FEBRUARY 28, 2023

After we opened the museum, the director and curatorial staff were talking about how to how to reach even more people who wouldn’t be able to come to the museum and experience it,” says Jill Roberts, program manager of the Searchable Museum at the Office of Digital Strategy and Engagement (ODSE). “We

Metadata 98

Metadata Recreation/Entertainment Cost-Benefit Technology 98

Octopai

MARCH 24, 2020

Let’s start with automated tools that foster the seamless interaction of multiple metadata best practices, such as data discovery, data lineage and the use of a business glossary. Here is an overview of how automated metadata management makes your business intelligence smarter. How Can Smarter BI Impact Your Company?

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

Cloudera

AUGUST 31, 2021

Yet, these legacy solutions are showing their age and can no longer meet these new demands in a cost-effective manner. It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Consideration of both data & metadata in the migration.

Data Warehouse 81

Data Warehouse Cost-Benefit Metadata Data-driven 81

IBM Big Data Hub

APRIL 28, 2022

To reduce delays, human errors and overall costs, data and IT leaders need to look beyond traditional data best practices and shift toward modern data management agility solutions that are powered by AI. Consequently, a data fabric self-manages and automates data discovery, governance and consumption, which enables.

Metadata 81

Metadata Data Warehouse Forecasting Predictive Modeling 81