Cloudera

MARCH 4, 2024

This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. First, a set of initial metadata objects are created by the data steward.

Metadata 52

Metadata Data Governance Management Finance 52

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Octopai

DECEMBER 12, 2021

Metadata is the pertinent, practical details about data assets: what they are, what to use them for, what to use them with. Without metadata, data is just a heap of numbers and letters collecting dust. Where does metadata come from? What is a metadata management tool? What are examples of metadata management tools?

Metadata 93

Metadata Management Data Quality Data Governance 93

CIO Business Intelligence

OCTOBER 11, 2022

With decades or even centuries of information to steward, how can academic institutions preserve this content for future generations? Information is often considered to be indestructible, but the reality is that data is fragile and has a finite lifespan. Information may be degrading because of how it is stored. Data longevity.

IT 96

IT Metadata Strategy Testing 96

Alation

JUNE 28, 2022

Collecting and using data to make informed decisions is the new foundation for businesses. This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? What is a Metadata Management Framework?

Metadata 52

Metadata Management Data Governance Machine Learning 52

Octopai

OCTOBER 18, 2021

First, what active metadata management isn’t : “Okay, you metadata! Now, what active metadata management is (well, kind of): “Okay, you metadata! Metadata are the details on those tools: what they are, what to use them for, what to use them with. . That takes active metadata management. Quit lounging around!

Metadata 83

Metadata Management IT Data Quality 83

Octopai

JUNE 26, 2020

Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Enterprises, such as Steve’s company, understand that they need a proper data governance strategy in place to successfully manage all the data they process. Metadata in data governance.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

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

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

CDW Research Hub

JUNE 24, 2021

Metadata provides basic information (the who, what, when, where, why) about your data assets. Think of metadata as your data’s life story. It makes your data easier to discover and use by providing context and lineage information. It makes your data easier to discover and use by providing context and lineage information.

Metadata 52

Metadata Data Governance Management Strategy 52

CIO Business Intelligence

MARCH 4, 2024

In an era of business where every industry requires its stakeholders to be capable of quick pivots and sharp turns, siloed information that ultimately slows decision-making can be the ultimate vulnerability. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

Insurance 90

Insurance Strategy Data Governance Data Integration 90

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. Beyond “records,” organizations can digitally capture anything and apply metadata for context and searchability.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

Ontotext

JANUARY 29, 2024

The generative AI buzz and interest in cloud migration shouldn’t be ignored, but as with any technology that requires data strategy, it’s critical that data and analytics professionals be crystal clear about their priorities and confident in the projects that will positively impact their business and goals.

Strategy 52

Strategy Management Metadata Data-driven 52

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

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?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

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. They are time-consuming and prone to human error, making compliance, innovation and transformation initiatives more complicated, which is less than ideal in the information age.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

Octopai

SEPTEMBER 6, 2020

Machine learning also plays a role in automated enterprise metadata management. In this article, we’re going to examine the relationship between machine learning and metadata management, how machine learning improves the quality of Business Intelligence (BI), and the ways in which you can apply these learnings to your own organization.

Metadata 56

Metadata Machine Learning Enterprise Management 56

TDAN

JULY 20, 2021

Let’s take a quick look at the layers of aggregate information that are used to enhance their platform: – Spotify uses natural language processing (NLP) […]. They use data better. Using machine learning and AI, Spotify creates value for their users by providing a more personalized experience.

Metadata 119

Metadata Machine Learning Data Architecture Data Strategy 119

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. The real question is: are you reaping all the value you can from all your data?

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

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 52

Metadata Data Governance Digital Transformation Data Quality 52

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. TDWI – David Loshin.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

IBM Big Data Hub

APRIL 10, 2023

Everyone would be using the same data set to make informed decisions which may range from goal setting to prioritizing investments in sustainability. This data foundation is crucial for truly effective ESG strategies that can help boost business value and manage evolving sustainability regulations around the globe.

Strategy 89

Strategy Data Architecture Cost-Benefit Reporting 89

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Alation

DECEMBER 15, 2021

An effective data governance strategy is critical for unlocking the full benefits of this information. Let’s explore the key steps for building an effective data governance strategy. What is a Data Governance Strategy? Data governance focuses on the daily tasks that keep information usable, understandable, and protected.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

MARCH 1, 2023

In a world as interconnected as ours, it’s difficult to overstate the value of secure information exchange. To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them. How else has Alation helped?

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. A metadata layer helps build the relationship between the raw data and AI extracted output.

Unstructured Data 121

Unstructured Data Metadata Management Analytics 121

Alation

MAY 10, 2021

In other words, they have a system in place for a data-driven strategy. 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. Build a Data Strategy (Phase One). Good question. Set goals accordingly.

Strategy 80

Strategy Enterprise Data Strategy Data Governance 80

AWS Big Data

MARCH 4, 2024

Apache Iceberg manages these schema changes in a backward-compatible way through its innovative metadata table evolution architecture. Provide information for the following parameters: DatalakeUserName DatalakeUserPassword DatabaseName TableName DatabaseLFTagKey DatabaseLFTagValue TableLFTagKey TableLFTagValue Choose Next. Choose Next.

Snapshot 114

Snapshot Data Lake Metadata Recreation/Entertainment 114

Cloudera

MAY 6, 2021

In this article, I will be focusing on the contribution that a multi-cloud strategy has towards these value drivers, and address a question that I regularly get from clients: Is there a quantifiable benefit to a multi-cloud deployment? Germany (Primary Market) . North America (US East Region). APAC (Singapore) . Not Applicable.

Strategy 91

Strategy Cost-Benefit Optimization Risk 91

AWS Big Data

APRIL 2, 2024

Without the right metadata and documentation, data consumers overlook valuable datasets relevant to their use case or spend more time going back and forth with data producers to understand the data and its relevance for their use case—or worse, misuse the data for a purpose it was not intended for.

Metadata 91

Metadata Metrics Data-driven Modeling 91

TDAN

AUGUST 4, 2020

But will this movement ultimately impact information management and governance? The coronavirus lockdown prompted a quick shift by many financial institutions to business continuity modes and consumers to online banking interactions.

Interactive 83

Interactive Management Metadata Data Strategy 83

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

AWS Big Data

APRIL 16, 2024

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

Metadata 98

Metadata Metrics Testing Management 98

CIO Business Intelligence

MARCH 24, 2023

The Data Governance Institute defines it as “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Enforce data privacy policies such as personally identifiable information (PII) redactions. Enforce fine-grained access control.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

AWS Big Data

OCTOBER 3, 2023

In-place data upgrade In an in-place data migration strategy, existing datasets are upgraded to Apache Iceberg format without first reprocessing or restating existing data. In this method, the metadata are recreated in an isolated environment and colocated with the existing data files. target_iceberg_add_files/metadata/.

Data Lake 104

Data Lake Metadata Snapshot Recreation/Entertainment 104