datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 2) Why Do You Need DQM? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. Table of Contents.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

FEBRUARY 13, 2020

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Governance Attitudes Are Shifting. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Remember that dark data is the data you have but don’t understand. So how do you find your dark data? Analyze your metadata.

IT 135

IT Metadata Data-driven Data Governance 135

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Data Lineage Tells an Important Origin Story. Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1 shows the four phases of Lean DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

erwin

AUGUST 13, 2020

The good news is that this is how enterprise architects stay relevant, and why enterprise architect salaries are so competitive. Technology Disruption : How do we focus on innovation while leveraging existing technology, including artificial intelligence, machine learning, cloud and robotics? big data, analytics and insights)?

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight. Accelerate Collaboration Across The Lifecycle.

Visualization 111

Visualization Machine Learning Dashboards Data Warehouse 111

erwin

SEPTEMBER 25, 2020

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. In this post: What Is a Data Model? Why Is Data Modeling Important?

Modeling 111

Modeling Cost-Benefit Visualization Data Warehouse 111

CIO Business Intelligence

APRIL 27, 2022

As VMware gains momentum with their sovereign cloud initiative , we turned to leading partners AUCloud , Datacom , STC , NxtGen , TietoEVRY , ThinkOn , and UKCloud and their customers to find out why a sovereign cloud is essential. In some sectors, particularly government, it’s an already mature requirement.

Digital Transformation 111

Digital Transformation Metadata Risk Enterprise 111

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Slice and Dice 115

Slice and Dice Cost-Benefit Data Governance Risk 115

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. Data pipelines are composed of multiple steps with dependencies and triggers. Autoscaling speed and scale.

Snapshot 118

Snapshot Data-driven Optimization Management 118

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

CIO Business Intelligence

OCTOBER 22, 2024

Cloud strategies are undergoing a sea change of late, with CIOs becoming more intentional about making the most of multiple clouds. They were mostly in one cloud with a few workloads in a different cloud. A lot of ‘multicloud’ strategies were not actually multicloud. Oracle is providing a different template.

Strategy 128

Strategy Cost-Benefit Risk Enterprise 128

Cloudera

JANUARY 27, 2021

We believe security is the cornerstone of any legitimate data platform, and we’re excited to announce that Cloudera has successfully achieved SOC 2 Type II certification for Cloudera Data Platform (CDP) Public Cloud. Why is SOC 2 Important? Data backup and disaster recovery. What’s Next?

Testing 104

Testing Data Warehouse Machine Learning Measurement 104

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. We are paving the path for our enterprise customers that are adapting to the critical shifts in technology and expectations.

Data-driven 113

Data-driven Testing Data Warehouse Enterprise 113

Alation

JUNE 14, 2021

The Role of Catalog in Data Security. Recently, I dug in with CIOs on the topic of data security. What came as no surprise was the importance CIOs place on taking a broader approach to data protection. What did come as a surprise was the central role of the data catalog for CIOs in data protection.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Metadata 97

DataKitchen

JUNE 12, 2023

Why the Data Journey Manifesto? So why another manifesto in the world? Why should I care? We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate.

Testing 130

Testing Dashboards Data Lake Data Science 130

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Data Architecture Unstructured Data Big Data 112

DataRobot Blog

JUNE 1, 2022

Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., DataRobot AIX has purpose-built content for business leads, data scientists, and IT leaders. views AI as a strategic business asset.

Machine Learning 119

Machine Learning Data-driven Risk Management Risk 119

CIO Business Intelligence

JULY 10, 2024

In today’s rapidly, and continually, evolving data landscape, maintaining the sovereignty and security of sensitive data is paramount. It has never been a more important time to make sure that data and metadata remain protected, resident within local jurisdiction, compliant, under local control, and accessible yet portable.

Metadata 98

Metadata Data-driven Marketing Measurement 98

DataRobot

NOVEMBER 16, 2021

Many organizations, including state and local governments, are dipping their toes into machine learning (ML) and artificial intelligence (AI). As we’ve discussed in this blog series, some are already reaping the rewards of AI through increased productivity, cost savings, etc. What is MLOps? Issues with Deployment.

Cost-Benefit 98

Cost-Benefit Machine Learning Modeling Data Processing 98

Alation

JUNE 17, 2021

We’re so proud to join this growing community of leaders in data, where we plan to deliver more value to our joint customers for years to come. Leading companies like Cisco, Nielsen, and Finnair turn to Alation + Snowflake for data governance and analytics. Data migration , too, is much easier with both platforms.

Data Governance 98

Data Governance Data Lake Insurance Enterprise 98

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95

erwin

OCTOBER 31, 2019

Do you know where your data is? What data you have? Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. s Information Commissioner’s Office had levied against both Facebook and Equifax for their data breaches.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. (

Metadata 97

Metadata Risk Management Risk Experimentation 97

Laminar Security

NOVEMBER 1, 2023

Data is more critical than ever in 2023. Even if teams are actively seeking to improve their data security, it’s challenging to do so within today’s multi-cloud environments. Even if teams are actively seeking to improve their data security, it’s challenging to do so within today’s multi-cloud environments.

Data Science 94

Data Science Risk Enterprise Technology 94

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

Alation

JULY 19, 2021

Metadata is information about data. Folks who work closely with data, like analysts, data scientists, and IT teams, rely on metadata to give them crucial context for how to use a given asset. Today, metadata is extremely helpful in classifying, describing, and providing critical information about digital data.

Metadata 105

Metadata Management Data Governance Machine Learning 105

Laminar Security

OCTOBER 17, 2023

Mapping, classifying, and reporting on data in the cloud is challenging for many companies, and the more cloud-centric the company, the greater the challenge. Businesses with a “cloud first” operating mode simply experience a faster rate of change. And unfortunately, you can’t protect or manage data you don’t know exists.

IT 94

IT Risk Cost-Benefit Dashboards 94

Cloudera

OCTOBER 11, 2022

I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”. It’s because of data. . Data science needs analytics.

Data Science 94

Data Science Snapshot Data Warehouse Metadata 94

Cloudera

AUGUST 24, 2020

In the last blog with Deloitte’s Marc Beierschoder, we talked about what the hybrid cloud is, why it can benefit a business and what the key blockers often are in implementation. When building your data foundation, how can you prioritize innovation within a hybrid cloud strategy? You can read it here. .

Strategy 81

Strategy Modeling Data-driven Metadata 81

Cloudera

DECEMBER 12, 2022

Over the past few months industry analysts have been making some pretty controversial recommendations for data management in the cloud. His takeaway: “The world is very much going to be hybrid and multi-cloud.” ZDNet had a thorough piece on why single clouds are passé. Cloud is hybrid and multi. That’s big.

Recreation/Entertainment 95

Recreation/Entertainment Insurance Metadata Digital Transformation 95

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Cloudera

AUGUST 6, 2024

Over the past several years, data leaders asked many questions about where they should keep their data and what architecture they should implement to serve an incredible breadth of analytic use cases. Many companies adopted the public cloud, but very few organizations will ever move everything to the cloud, or to a single cloud.

Metadata 82

Metadata Cost-Benefit Management Enterprise 82

IBM Big Data Hub

JUNE 13, 2022

Trustworthy outcomes are critical for all AI systems, particularly in high-risk contexts, and this is a key factor in why the market for responsible AI solutions is expected to double in size in 2022 [2]. Central to putting these principles into practice is establishing the appropriate governance mechanisms for AI systems.

Risk 98

Risk Risk Management Data-driven Metrics 98