IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

Octopai

JANUARY 31, 2021

We have identified the top ten sites, videos, or podcasts online that deal with data lineage. Our list of Top 10 Data Lineage Podcasts, Blogs, and Websites To Follow in 2021. Data Engineering Podcast. This podcast centers around data management and investigates a different aspect of this field each week.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

TDAN

JULY 19, 2022

Are you thinking about hiring or interviewing someone for a data governance or data intelligence role such as a Data Governance Manager or a Data Governance Coordinator? Maybe data governance as a whole is new to the organization. Maybe this is a new role in the organization.

Data Governance 52

Data Governance Management Metadata Data Strategy 52

TDAN

SEPTEMBER 21, 2022

Both data governance and data management workflows are critical to ensuring the security and control of an organization’s most valuable asset— data. Is the positioning of data governance vs. data management correct? In this […].

Data Governance 59

Data Governance Management IT Metadata 59

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. If storage costs are escalating in a particular area, you may have found a good source of dark data. Analyze your metadata. Create a catalog.

IT 133

IT Metadata Data-driven Data Governance 133

TDAN

AUGUST 31, 2021

A common misconception among c-level executives is that governance and management of data is the same thing other than in capital letters. Below, we will explore the main differences between Data Management […].

Data Governance 135

Data Governance Management Metadata Data Strategy 135

erwin

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. Variations of A Theme.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Why you should automate data governance and how a data fabric architecture helps.

Data-driven 58

Data-driven Enterprise Data Governance Data Lake 58

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. Cloudera Shared Data Experience (SDX) is a core component of Cloudera Data Platform’s architecture.

Metadata 79

Metadata Data Lake Optimization Modeling 79

IBM Big Data Hub

JANUARY 5, 2023

Monitor and identify data quality issues closer to the source to mitigate the potential impact on downstream processes or workloads. Efficiently adopt data platforms and new technologies for effective data management. Apply metadata to contextualize existing and new data to make it searchable and discoverable.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 52

TDAN

JULY 5, 2022

Few organizations have all the technical and functional data stewards in place to handle the ever-increasing data-related questions and requests. Therefore, a search for new data stewards is probably always happening. This blog post will discuss how you can get data stewardship acceptance by an individual.

Data Quality 52

Data Quality Data Governance Metadata Data Strategy 52

Cloudera

AUGUST 21, 2020

The governance aspect is perhaps even more important and businesses need to be able to understand where the data comes from. Data lineage, personally identifiable information or PPI and metadata all fall under a broad data governance banner which is critically important in terms of what needs to be protected and mapped out.

Enterprise 60

Enterprise Data Lake Strategy Metadata 60

Ontotext

MARCH 8, 2023

Rich metadata and semantic modeling continue to drive the matching of 50K training materials to specific curricula, leading new, data-driven, audience-based marketing efforts that demonstrate how the recommender service is achieving increased engagement and performance from over 2.3 million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

TDAN

OCTOBER 15, 2019

I recently read a blog that mocked my statement that “everybody is a data steward” and explicitly negated the fact that “everyone who uses data should be a data steward.” Everyone who uses data IS a data steward if they are held formally accountable for […].

Data Quality 40

Data Quality Data Governance Metadata Data Strategy 40

TDAN

JUNE 6, 2023

The concept of being holistic embraces a comprehensive and interconnected view of various aspects of life, considering them as a whole rather than isolated parts. The concept of being holistic emphasizes the understanding that everything in our existence is connected and interdependent, influencing and being influenced by one another.

Data Governance 52

Data Governance Metadata Data Strategy Strategy 52

Alation

OCTOBER 21, 2021

But, on the back end, data lakes give businesses a common repository to collect and store data, streamlined usage from a single source, and access to the raw data necessary for today’s advanced analytics and artificial intelligence (AI) needs. A frequent and periodic data cleansing strategy is. Lack of metadata.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Alation

AUGUST 11, 2022

We chatted about industry trends, why decentralization has become a hot topic in the data world, and how metadata drives many data-centric use cases. But, through it all, Mohan says it’s critical to view everything through the same lens: gaining business value from data. Data fabric is a technology architecture.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

TDAN

JUNE 20, 2023

These days, there is much conversation about the necessity of the data model. The data model has been around for several decades now and can be classified as an artifact of an earlier day and age. But is the data model really out of date? And exactly why do we need a data model, anyway? […]

Modeling 52

Modeling Metadata Data Strategy Data Governance 52

Alation

AUGUST 11, 2021

The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. As Vice President of Data Governance at TMIC, Anthony has robust experience leading cloud migration as part of a larger data strategy. Creating an environment better suited for data governance.

Data Governance 52

Data Governance Insurance Metadata Strategy 52

TDAN

JANUARY 5, 2021

A recent report on data culture released by Alation shows that enterprises continue to make progress toward creating a data culture even while the pandemic has forced them to make tough decisions. More than half of data professionals believe […]. But things are looking up.

Reporting 52

Reporting Enterprise Metadata Data Strategy 52

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 83

Cost-Benefit Metadata Optimization Management 83

Alation

MARCH 28, 2023

With data becoming more prevalent in every industry, organisations have to determine how to not only manage it but also drive value from it. The MoD identify three key issues: firstly, that ‘Defence data operates in contractual, technical and behavioural silos’. The defence industry is no exception.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

Sisense

JULY 6, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

FEBRUARY 13, 2020

Be it the stellar customer and analyst sessions at Tableau Conference in New Orleans or Forrester Data Strategy & Insights 2018 in Orlando, or the professional grade, bullet proof Alation Arena of robots at Strata Data Conference in New York or the Teradata Analytics Universe in Las Vegas, our rockstar avatar didn’t fail to impress.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Alation

APRIL 12, 2022

Today, the modern CDO drives the data strategy for the entire organization. The individual initiatives that make up a data strategy may, at times, seem at odds with one another, but tools, such as the enterprise data catalog , can help CDOs in striking the right balance between facilitating data access and data governance.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. And one enterprise alone can generate a world of data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Alation

FEBRUARY 10, 2022

Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? Either completed manually or using automation, the data classification process is based on the data’s context, content, and user discretion.

Data Governance 52

Data Governance Risk Insurance Strategy 52

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Alation

DECEMBER 8, 2022

Data governance is growing in urgency and prominence. As regulations grow more complex (and compliance fines more onerous) organizations aren’t just adapting data governance frameworks to drive compliance – they’re leveraging governance to fuel a growing range of use cases, from collaboration to stewardship, discovery, and more.

Data Governance 52

Data Governance Data-driven Strategy Reporting 52

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Why keep data at all?

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

MAY 10, 2021

Folks who work with data face these challenges every day. A data catalog helps people find, understand, trust, and govern data. The catalog gathers metadata, (or data about data), to add context to every asset. In phase one, an enterprise must create a data strategy , which will inform later plans.

Strategy 80

Strategy Enterprise Data Strategy Data Governance 80

Alation

FEBRUARY 20, 2020

Munich Re’s chief data officer is leveraging Alation in a highly regulated market to find better opportunities for customers in an industry where knowledge sharing directly leads to customer value. “At At Munich Re, our data strategy is geared to offer new and better risk-related services to our customers.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52