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

Timo Elliott

JANUARY 6, 2022

In a previous blog , I explored the value of dark data and how it can reveal insights that can streamline processes, improve customer experiences, generate more revenue – and maybe even help make the world a better place. Analyze your metadata. Use people. SAP and Intel.

IT 135

IT Metadata Data-driven Data Governance 135

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 Cost-Benefit Digital Transformation 145

erwin

DECEMBER 9, 2024

Will the new creative, diverse and scalable data pipelines you are building also incorporate the AI governance guardrails needed to manage and limit your organizational risk? Metadata is the basis of trust for data forensics as we answer the questions of fact or fiction when it comes to the data we see.

Metadata 52

Metadata Data Quality Sales Modeling 52

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Searching for data was the biggest time-sinking culprit followed by managing, analyzing and preparing data. That’s a lot of data to manage! It’s time to automate data management. How to Automate Data Management.

Management 144

Management Data Governance Cost-Benefit Metadata 144

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

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

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. The reality is there’s not enough time, people and money for true data management using manual processes. Analyze metadata – Understand how data relates to the business and what attributes it has.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

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 Data-driven 128

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

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

datapine

MAY 29, 2019

Data cleansing, metadata management, data distribution, storage management, recovery, and backup planning are processes conducted in a data warehouse while BI makes use of tools that focus on statistics, visualization, and data mining. To expand our previous point, the people involved in managing the data are quite different.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

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 Metadata Digital Transformation 135

Cloudera

NOVEMBER 13, 2020

This is part of our series of blog posts on recent enhancements to Impala. We’ll discuss the architecture and features of Impala that enable low latencies on small queries and share some practical tips on how to understand the performance of your queries. Metadata Caching. The entire collection is available here.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

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 102

Data Processing Metadata Testing Management 102

Smart Data Collective

OCTOBER 13, 2021

This is something that you can learn more about in just about any technology blog. As we have already said, the challenge for companies is to extract value from data, and to do so it is necessary to have the best visualization tools. How does Data Virtualization manage data quality requirements?

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

O'Reilly on Data

MARCH 20, 2019

Version control: Production model scoring code should be managed and version-controlled—just like any other mission-critical software asset. Several older and newer general best practices can be employed to decrease your security vulnerabilities and to increase fairness, accountability, transparency, and trust in machine learning systems.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

Cloudera

JUNE 2, 2021

It can manage billions of small and large files that are difficult to handle by other distributed file systems. As an important part of achieving better scalability, Ozone separates the metadata management among different services: . Apache Ozone heavily uses Apache Ratis for metadata and data replication.

Metadata 95

Metadata Snapshot Testing Management 95

AWS Big Data

MAY 28, 2024

This also enables multi-tenancy and allows data engineers and data scientists to focus on building the data applications, and the platform engineering and the site reliability engineering (SRE) team can manage the infrastructure. Key EMR on EKS differentiations In this section, we discuss the key EMR on EKS differentiations.

Data Processing 119

Data Processing Cost-Benefit Metadata Optimization 119

erwin

AUGUST 28, 2020

What Is the Best Data Governance Solution? With well governed data, organizations can get more out of their data by making it easier to manage, interpret and use. Although governing data is not a new practice, using it as a strategic program is and so are the expectations as to who is responsible for it. What Is Data Governance?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. In the Enterprise Data Management realm, such a data domain is called an Authoritative Data Domain (ADD). Introduction.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

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. As such, traditional – and mostly manual – processes associated with data management and data governance have broken down. Metadata-Driven Automation in the BFSI Industry.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

AWS Big Data

JULY 30, 2024

With federation, security teams can centralize user management in a single place, which helps simplify and brings agility to their day-to-day operations while keeping highest security standards. With IAM Identity Center you can also manage the SSO experience of your organization centrally, across your AWS accounts and applications.

Metadata 115

Metadata Dashboards Management Data-driven 115

AWS Big Data

FEBRUARY 13, 2025

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now offers a new broker type called Express brokers. Express brokers provide straightforward operations with hands-free storage management by offering unlimited storage without pre-provisioning, eliminating disk-related bottlenecks.

Metrics 67

Metrics Metadata Strategy Management 67

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.

Data Warehouse 81

Data Warehouse Metadata Reporting Enterprise 81

erwin

NOVEMBER 6, 2020

Metadata Harvesting and Ingestion : Automatically harvest, transform and feed metadata from virtually any source to any target to activate it within the erwin Data Catalog (erwin DC). Data Cataloging: Catalog and sync metadata with data management and governance artifacts according to business requirements in real time.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

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

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 111

Analytics Digital Transformation Forecasting Risk 111

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 119

Metadata Data Lake Publishing Data Governance 119

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition. Data Privacy Regulations.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

DataRobot Blog

MARCH 16, 2023

Best-Practice Compliance and Governance: Businesses need to know that their Data Scientists are delivering models that they can trust and defend over time. This means implementing safety best practices proactively, and applying the highest governance standards without slowing down the process.

Experimentation 98

Experimentation Data-driven Modeling Metadata 98

erwin

NOVEMBER 14, 2019

As the use cases for data-driven tech, such as AI, grow, you can expect the calls for ethical data practices to grow too. Considering the revenue potential, regulatory mandates and data-conscious consumers, a comprehensive data governance practice supported by robust data governance tools should no longer be seen as optional.

Data Governance 105

Data Governance Cost-Benefit Data-driven Metadata 105

BizAcuity

MARCH 29, 2019

Best practices to build a Data Lake. It is not just about data storage but also about data management too. Data should be actively and securely managed. Load data into staging, perform data quality checks, clean and enrich it, steward it, and run reports on it completing the full management cycle.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Alation

JANUARY 19, 2023

I define data governance as the “execution and enforcement of authority over the management of data.” Improving data intelligence through the automation, distribution, stewardship, and effective use of business and technical processes and metadata will certainly alleviate many of the pain points associated with governing data.

Data Governance 94

Data Governance IT Metadata Recreation/Entertainment 94

erwin

NOVEMBER 6, 2019

But most organizations, especially those competing in the digital economy, don’t have enough time or money for data management using manual processes. To summarize, just some of the benefits of data automation are: • Centralized and standardized code management with all automation templates stored in a governed repository.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

Cloudera

AUGUST 4, 2021

With hackers now working overtime to expose business data or implant ransomware processes, data security is largely IT managers’ top priority. The good news is that technology has evolved significantly, offering new advantages to companies that commit to data governance best practices. Author Chris J.

Data Governance 86

Data Governance Metadata Data-driven Enterprise 86