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

NOVEMBER 19, 2020

erwin has once again been positioned as a Leader in the Gartner “2020 Magic Quadrant for Metadata Management Solutions.”. The post erwin Positioned as a Leader in Gartner’s 2020 Magic Quadrant for Metadata Management Solutions for Second Year in a Row appeared first on erwin, Inc.

Metadata 98

Metadata Management Digital Transformation Data Governance 98

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. RDF facilitates strategic integration while LPGs are best for tactical analytics. We use them every day without realizing.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

IBM Big Data Hub

MAY 9, 2023

There are 3 main reasons why organizations struggle with adopting AI: a lack of confidence in operationalizing AI, challenges around managing risk and reputation, and scaling with growing AI regulations. This solution is designed to include everything needed to develop a consistent transparent model management process.

Metadata 75

Metadata Risk Experimentation Dashboards 75

erwin

JANUARY 17, 2020

Data models provide visualization, create additional metadata and standardize data design across the enterprise. Data Modeling Best Practices. This phenomenon is perhaps best articulated through the lens of the “three Vs” of data: volume, variety and velocity. But what is the right data modeling approach? SQL or NoSQL?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Cloudera

JULY 15, 2021

This blog post provides an overview of best practice for the design and deployment of clusters incorporating hardware and operating system configuration, along with guidance for networking and security as well as integration with existing enterprise infrastructure. Introduction and Rationale. Private Cloud Base Overview.

Data Processing 97

Data Processing Metadata Testing Management 97

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

AWS Big Data

OCTOBER 4, 2023

In this blog post, we share what we heard from our customers that led us to create Amazon DataZone and discuss specific customer use cases and quotes from customers who tried Amazon DataZone during our public preview. This is challenging because access to data is managed differently by each of the tools.

Metadata 98

Metadata Data Lake Publishing Data Governance 98

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. However, the practice of data governance is a relatively new discipline that is still evolving.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. However, more than 50 percent say they have deployed metadata management, data analytics, and data quality solutions. Organizations still depend too much on manual data management.

Data Governance 145

Data Governance Metadata Digital Transformation Cost-Benefit 145

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. Master data management (MDM) The rollout of a new MDM application is very similar to an ERP system. Do you need to add metadata to information to put it in a data lake?

IT 52

IT Data Quality Metadata Data Governance 52

Alation

FEBRUARY 13, 2020

In an earlier blog, I defined a data catalog as “a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses.”.

Metadata 52

Metadata Management Data Lake Data Governance 52

Ontotext

FEBRUARY 12, 2024

Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Most enterprises have years of legacy systems, processes, and practices that make it more demanding to quickly jump onto the data mesh bandwagon. This calls for additional planning, documentation, and testing.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

IBM Big Data Hub

JUNE 12, 2023

This post provides a view of how these layers should be managed and implemented across different teams. Public cloud support: Many CSPs use hyperscalers like AWS to host their 5G network functions, which requires automated deployment and lifecycle management. It also takes care of the major upgrades on the network function.

Testing 69

Testing Data Processing Metadata Management 69

datapine

JANUARY 31, 2022

The main use of business intelligence is to help business units, managers, top executives, and other operational workers make better-informed decisions backed up with accurate data. The top management believed that tackling this turnover would be key in improving the customer experience and that this would lead to higher revenues.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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 83

Metadata Data Warehouse Forecasting Predictive Modeling 83

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 75

Risk Modeling Management Metadata 75

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important? A centralised platform is therefore critical.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

IBM Big Data Hub

APRIL 4, 2023

Since then, there have been countless questions about the practical applications of these powerful models that seemingly understand the complex relationships between words, sentences, and concepts. In my experience, the best way to ensure this is by tapping into curated, accurate, and relevant source data from across the enterprise.

Modeling 85

Modeling Consulting Metadata Enterprise 85

erwin

APRIL 27, 2022

This year Quest® (including erwin) is competing in 7 out of 29 product / solution categories: Best CDC Solution (Quest Shareplex). Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL).

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

IBM Big Data Hub

NOVEMBER 3, 2023

When scaling up the number of applications you manage, it can feel like there are a lot of moving parts to ensure that your APIs are going through to the right applications in a secure manner. Secrets : Securely store managed TLS certificates and secrets in your instance, with automatic synchronization to your Kubernetes secrets.

Data Processing 75

Data Processing Metadata Management Testing 75

erwin

AUGUST 6, 2020

Collaborate more effectively with their partners in data (management and governance) for greater efficiency and higher quality outcomes. Data Context & Enrichment: Put data in business context and enable stakeholders to share best practices and build communities by tagging/commenting on data assets, enriching the metadata.

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

Laminar Security

SEPTEMBER 18, 2023

Do you know the data risks of your regular backup practices? It seems counterintuitive since data backups are normally considered a data governance best practice. However, even the best of practices can have unintended consequences. If not, and even if you have, this is the post for you. How do you combat the risk?

Risk 128

Risk Testing Data Governance Metadata 128

Ontotext

DECEMBER 15, 2022

As a result, a big part of enterprise data remains practically invisible. How enterprises choose to manage their data so they can take the most advantage of it depends on what they want to achieve. Enter metadata. It enables us to make sense of our data because it tells us what it is and how best to use it.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. Visualization & Gain insights – Customers can query, visualize, and create alerts using Amazon Managed Service for Grafana.

Analytics 111

Analytics IoT Data-driven Snapshot 111

Octopai

JULY 19, 2020

The data dictionary remains a crucial tool for BI teams to organize their metadata. So, implementing best practices is now more important than ever. Here is a brief overview of the state of the business data dictionary in 2020 and some best practices to which all data teams should adhere. Take Me to the Blog Post.

Metadata 56

Metadata Data Warehouse Reporting Enterprise 56

Cloudera

AUGUST 3, 2021

This capability is leading companies to rethink just-in-time practices. Companies are turning to these best practices to reduce supply chain risk: . Open source enterprise data solutions are alternative to this risk as they rely upon the power of an external open source community to develop best practice solutions.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

AWS Big Data

MAY 24, 2023

Also, if supported request rates are exceeded, it’s a best practice to distribute objects and requests across multiple prefixes. To learn more about how to create an EMR cluster with Iceberg and use Amazon EMR Studio, refer to Use an Iceberg cluster with Spark and the Amazon EMR Studio Management Guide , respectively.

Data Lake 83

Data Lake Snapshot Metadata Optimization 83

Octopai

JULY 19, 2020

The data dictionary remains a crucial tool for BI teams to organize their metadata. So, implementing best practices is now more important than ever. Here is a brief overview of the state of the business data dictionary in 2020 and some best practices to which all data teams should adhere. Take Me to the Blog Post.

Metadata 52

Metadata Data Warehouse Reporting Enterprise 52

Alation

JANUARY 24, 2023

Most organisations are seeking to be data-driven because they believe in the value of data to inform key decisions at all levels, making data management absolutely critical. For example, a company that used Microsoft Excel spreadsheets for data storage and management wants to adopt an approach based on big data.

Metadata 52

Metadata Data-driven Data Governance Metrics 52

Alation

NOVEMBER 15, 2021

Most people close to data management are aware of the EDM Council. This highly respected standards & training organization was “created to elevate the practice of data management as a business and operational priority.” The 14 key controls of the Cloud Data Management Framework. Autonomous Policy Bots.

Management 52

Management Testing Metadata Consulting 52

Ontotext

FEBRUARY 26, 2024

Capturing and leveraging best practices – the ability to bring in the industry best practices, while capturing learnings internally so the organization can deploy each successive use case faster and cheaper than the previous one. RDF tends to be more data and metadata -centric. Let’s summarize very quickly.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

erwin

JANUARY 7, 2021

This year, that will change as semantic metadata comes into its own driven by Microsoft’s Common Data Model (CDM). The CDM provides a best-practices approach to defining data to accelerate data literacy, automation, integration and governance across the enterprise. Click here to learn more and register.

Metadata 98

Metadata Data Governance Internet of Things IoT 98

CDW Research Hub

MAY 29, 2020

Salesforce is an extremely powerful customer relationship management solution offered in a Software as a Service model, which greatly reduces the infrastructure and management needed to operate a solution of this nature. The other thing clients need to consider is protecting the metadata contained within their Salesforce account.

Metadata 53

Metadata Dashboards Reporting Management 53

erwin

OCTOBER 31, 2019

The Regulatory Rationale for Integrating Data Management & Data Governance. Data is a critical asset used to operate, manage and grow a business. Providing metadata and value-based analysis: Discovery and classification of sensitive data based on metadata and data value patterns and algorithms.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This blog post aims to help you understand what you can do to get started with generative AI assisted SQL using Hue image version ​​2023.0.16.0

Data Warehouse 72

Data Warehouse Data Processing Optimization Modeling 72

Cloudera

FEBRUARY 11, 2019

The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. In this blog, we share our takeaways as they relate to the DMSA market trends. Best-fit and platform combine in the cloud “.

Management 43

Management Metadata Analytics Machine Learning 43