erwin

JANUARY 3, 2019

With this in mind, the erwin team has compiled a list of the most valuable data governance, GDPR and Big data blogs and news sources for data management and data governance best practice advice from around the web. Top 7 Data Governance, GDPR and Big Data Blogs and News Sources from Around the Web.

Data Governance 53

Data Governance Big Data Data-driven Data Processing 53

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. The Benefits of Automating Data Governance and Metadata Management Processes.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

erwin

OCTOBER 31, 2019

The Regulatory Rationale for Integrating Data Management & Data Governance. Now, as Cybersecurity Awareness Month comes to a close – and ghosts and goblins roam the streets – we thought it a good time to resurrect some guidance on how data governance can make data security less scary.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

Data Governance 52

Data Governance Data-driven Strategy Management 52

IBM Big Data Hub

AUGUST 23, 2023

Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on. This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. and watsonx.data.

Data Governance 55

Data Governance Enterprise Modeling Risk 55

erwin

JANUARY 24, 2019

They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage. With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. Benefits of an Automation Framework for Data Governance.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

erwin

MARCH 8, 2019

GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology. That’s where data governance comes in ….

Data Governance 65

Data Governance Metadata Data Warehouse Data Quality 65

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Data Architecture 98

Data Architecture Data Governance Big Data Marketing 98

O'Reilly on Data

FEBRUARY 4, 2019

How companies in Europe are preparing for and adopting AI and ML technologies. In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Data Platforms. Data Integration and Data Pipelines.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

IBM Big Data Hub

OCTOBER 26, 2017

Today’s most successful companies think differently about data governance. Recent Aberdeen research suggests that top-performing companies are those that create a more holistic approach to data governance, incorporating the right technologies, processes, skill sets and internal capabilities.

Data Governance 61

Data Governance Technology 61

Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. And the longer it takes to put a team in place, the likelier it is that your big data project will stall. Then this information must be executed against by the data engineers.

Big Data 53

Big Data Data Architecture Data Governance Reporting 53

David Menninger's Analyst Perspectives

NOVEMBER 13, 2020

A data lake is a centralized repository designed to house big data in structured, semi-structured and unstructured form. I have been covering the data lake topic for several years and encourage you to check out an earlier perspective called Data Lakes: Safe Way to Swim in Big Data? for background.

Data Lake 351

Data Lake Big Data Data Governance Technology 351

AWS Big Data

APRIL 19, 2023

Utilizing strategies like data mesh generates value on a large scale. We took this a step further by creating a blueprint to create smart recommendations by linking similar data products using graph technology and ML. This solution solves the interoperability and linkage problem for data products.

Technology 85

Technology Data-driven Machine Learning Sales 85

Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively.

Data Governance 104

Data Governance Data-driven Strategy Data Architecture 104

David Menninger's Analyst Perspectives

MAY 13, 2019

Organizations now must store, process and use data of significantly greater volume and variety than in the past.

Business Analytics 180

Business Analytics Big Data Analytics Enterprise 180

Bruno Aziza

NOVEMBER 15, 2017

VEDA — Verizon Enterprise Data Analytics—is an enterprise organization that addresses data management, data governance, data warehousing and data lakes and common analytical and AI technologies.

Big Data 71

Big Data Data Lake Data Governance Enterprise 71

IBM Big Data Hub

APRIL 8, 2024

In a world where every company is now a technology company, all enterprises must become well-versed in managing their digital products to remain competitive. The key foundation of a strong PLM strategy is healthy and orderly product data, but data management is where enterprises struggle the most.

Data-driven 58

Data-driven Management Data Governance Strategy 58

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 320

Management Data Warehouse Data Quality Data Integration 320

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 85

Data Lake Data Governance Data Architecture Machine Learning 85

AWS Big Data

NOVEMBER 15, 2023

million data points per second. Stop by the AWS for Data booth in the AWS Village to get data strategy advice from an AI-powered Data Concierge created by the AWS Generative AI Innovation Center. You can race slot cars while seeing AWS technologies pull data in real time.

Broadcasting 113

Broadcasting Recreation/Entertainment Data Governance Strategy 113

Smart Data Collective

APRIL 24, 2023

Big data has led to some huge changes in the way we live. John Deighton is a leading expert on big data technology. His research focuses on the importance of data in the online world. This is one of the reasons that the market size for big data is now worth over $162 billion a year.

Data-driven 96

Data-driven Software Big Data Data Governance 96

TDAN

JANUARY 14, 2020

Everyone is familiar with the term smartphone. These devices have become ubiquitous and many individuals have come to depend on them to navigate through our complicated world. They can assist users in a wide variety of ways that were unthinkable a mere 20 years ago. You might be tempted to take a look at yours […].

Data Governance 52

Data Governance Data Strategy Business Intelligence Big Data 52

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. One of the biggest issues pertains to data quality.

Business Analytics 109

Business Analytics Analytics Data Quality Big Data 109

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 90

Analytics IoT Cost-Benefit Big Data 90

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 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

AUGUST 20, 2020

It provides a visual blueprint, demonstrating the connection between applications, technologies and data to the business functions they support. In the age of data-driven business, the most common EA use cases are: Digital Transformation. Data Governance. Big Data Adoption. Think City Planning.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

IBM Big Data Hub

MARCH 29, 2024

It may be the solution that finally breaks through dysfunctional silos of business units, applications, data and people, and moves beyond the constraints that have cost companies dearly. Enterprise applications serve as repositories for extensive data models, encompassing historical and operational data in diverse databases.

Management 86

Management Structured Data Modeling Data Governance 86

IBM Big Data Hub

MAY 14, 2024

CFOs are the stewards of investment capital, orchestrating a movement with transformative technology and innovation to evolve businesses, accelerate revenue streams and drive meaningful outcomes. Read the report: CEO’s guide to AI in finance Unlocking the value CFOs are not expected to be technology experts.

Finance 71

Finance Cost-Benefit Reporting Forecasting 71

Alation

FEBRUARY 13, 2020

Recent recognition for the Alation Data Catalog includes: Dresner Advisory Services 2018 Technology Innovation Awards for Data Catalogs. IDC Innovators: Data Intelligence Software Platforms, 2019 Report. Ventana Research: 2018 Digital Innovation Awards for Big Data. Can’t Stop, Won’t Stop. IDC Disclaimer.

Machine Learning 52

Machine Learning Big Data Data Governance Digital Transformation 52

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

datapine

SEPTEMBER 29, 2022

Today most of a company’s operations and strategic decisions heavily rely on data, so the importance of quality is even higher. And indeed, low-quality data is the leading cause of failure for advanced data and technology initiatives, to the tune of $9.7 1 – The people.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. In fact, there’s no escaping the increasing reliance on such technologies. By 2020, over 40 percent of all data science tasks will be automated. The Rise of Regulation.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

Paul Blogs on BI

NOVEMBER 13, 2023

With both the rise in organizations looking to move their data to the cloud and the increasing awareness of the power of BI and generative AI, data strategy has become a top priority. If they also decide to include converting to new BI tools and adding new generative AI tools, it becomes monster-size!

Data Strategy 52

Data Strategy Strategy Gap analysis Data Warehouse 52

Alation

MAY 19, 2022

Gartner shared that organizations today are using active metadata to enable data fabric , identify data drift , and locate new categories of data. Leverage small data. It’s not just about big data anymore! So what should people struggling with low-quality data do? Data Governance.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

IBM Big Data Hub

JUNE 8, 2022

However, a foundational step in evolving into a data-driven organization requires trusted, readily available, and easily accessible data for users within the organization; thus, an effective data governance program is key. Why you should automate data governance and how a data fabric architecture helps.

Data-driven 57

Data-driven Enterprise Data Governance Data Lake 57

AWS Big Data

OCTOBER 20, 2023

Conclusion In this post, we showed how to use AWS Glue and the new connector for ingesting data from Azure Blob Storage to Amazon S3. This connector provides access to Azure Blob Storage, facilitating cloud ETL processes for operational reporting, backup and disaster recovery, data governance, and more.

Data Lake 87

Data Lake Big Data Consulting Data Warehouse 87