IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 79

Management Metadata Data Architecture Data Lake 79

Alation

MAY 27, 2021

For data-driven enterprises, data governance is no longer an option; it’s a necessity. Businesses are growing more dependent on data governance to manage data policies, compliance, and quality. For these reasons, a business’ data governance approach is essential. Data Democratization.

Data Governance 98

Data Governance Data Quality Enterprise Machine Learning 98

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. The answer is data lineage. We’ve compiled six key reasons why financial organizations are turning to lineage platforms like MANTA to get control of their data. Data lineage helps during these investigations.

Cost-Benefit 90

Cost-Benefit Metadata Data Governance Reporting 90

IBM Big Data Hub

JULY 25, 2022

In older civilizations, where transportation and communication were primitive, the marketplace was where people came to buy and sell products. Modern-day enterprises face a similar situation regarding data assets. On one side there is a need for data. Businesses ask: “Do we have this kind of data in the enterprise?”

Metadata 66

Metadata Enterprise Consulting Publishing 66

IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 79

Data Integration Metadata Data-driven Data Architecture 79

Alation

FEBRUARY 13, 2020

Data curation is a term that has recently become a common part of data management vocabulary. Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. Curating data involves much more than storing data in a shared database.

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 52

AWS Big Data

MARCH 9, 2023

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. The star schema is a popular data model for building data marts.

Slice and Dice 98

Slice and Dice Data Warehouse Metrics Metadata 98

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 do we have data?

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

FEBRUARY 13, 2020

A core element of business today is the desire to become a data-driven organization. The key to data-driven success and maturity is data culture, and strong data culture begins with participation. A data catalog can be the catalyst that helps to break through the barrier with collaboration and crowdsourcing.

Data Governance 52

Data Governance Metadata Data-driven Reporting 52

IBM Big Data Hub

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. This blog focuses on governing spreadsheets that contain data, information, and metadata, and must themselves be governed. The ubiquity of spreadsheets creates disadvantages as well.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

Alation

FEBRUARY 20, 2020

Since we launched the company, Alation has delivered a unique way to catalog data for the enterprise. Inspired by Google’s ability to automatically catalog the Internet by observing consumer behavior, we built Alation 1.0 to catalog enterprise data by observing analyst behaviors. Can I trust this data?

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

Alation

FEBRUARY 13, 2020

In a recent blog, titled Collaboration and Crowdsourcing with Data Cataloging , I discussed the importance of participation by all data stakeholders as a key to getting maximum value from your data catalog. This build-it-and-they-will-come approach fails to engage people to actively use the catalog.

Metadata 52

Metadata Data Governance Cost-Benefit Visualization 52

Alation

MARCH 1, 2023

It’s the basis for cryptocurrency, but also has applications in virtually every industry, from finance (capital markets) to retail (supply chain management) and health sciences (medical drug development). How are blockchain organizations tackling data management? What is your data strategy and how did you begin to implement it?

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

Alation

OCTOBER 14, 2021

As pioneers in the Natural Language Processing (NLP) space, Lyngo has leveled the data playing field with tools that allow anyone to learn from data. Their product empowers users to take a truly data-driven approach for business-critical decisions. What problem do they solve? Let’s dive in. What is Lyngo Analytics?

Analytics 59

Analytics Data-driven Machine Learning Metadata 59

Alation

MAY 24, 2022

In a sea of questionable data, how do you know what to trust? Data quality tells you the answer. It signals what data is trustworthy, reliable, and safe to use. It empowers engineers to oversee data pipelines that deliver trusted data to the wider organization. Today, as part of its 2022.2

Data Quality 52

Data Quality Metadata Reporting Metrics 52

Alation

NOVEMBER 11, 2021

This is mostly due to cost-saving and data sharing benefits. 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. This framework maintains compliance and democratizes data.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

MARCH 31, 2023

It’s the place where dreams come true. I’m talking about not just Walt Disney World, but also this year’s Gartner Data & Analytics Summit , which took place last month in Orlando at the landmark resort. Alation was proud to have been among the thought leaders at the annual gathering of data experts from around the world.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

Alation

DECEMBER 15, 2021

Modern business is built on a foundation of trusted data. 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 52

Data Governance Strategy Metadata Data Strategy 52

Alation

AUGUST 11, 2021

It’s time to migrate your business data to the Snowflake Data Cloud. How do you capitalize on migration as a business-growth opportunity? The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. Creating an environment better suited for data governance.

Data Governance 52

Data Governance Insurance Metadata 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

FEBRUARY 8, 2022

The “data textile” wars continue! In our first blog in this series , we define the terms data fabric and data mesh. The second blog took a deeper dive into data fabric, examining its key pillars and the role of the data catalog in each. But why is such an inversion needed?

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Alation

NOVEMBER 16, 2021

Data Governance is growing essential. Data growth, shrinking talent pool, data silos – legacy & modern, hybrid & cloud, and multiple tools – add to their challenges. Hence, they are pursuing cloud transformation to help manage growth in data and cost. Alation and Snowflake Help You Scale Governance.

Data Governance 52

Data Governance Insurance Risk Data-driven 52

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification. Manual Data Classification.

Data Governance 52

Data Governance Risk Insurance Business Objectives 52

Ontotext

FEBRUARY 12, 2024

In the final part of this three-part series, we’ll explore ho w data mesh bolsters performance and helps organizations and data teams work more effectively. Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Alation

JANUARY 17, 2023

Chances are, you’ve heard of the term “modern data stack” before. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? It is known to have benefits in handling data due to its robustness, speed, and scalability.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

AWS Big Data

MARCH 21, 2025

The ability for organizations to quickly analyze data across multiple sources is crucial for maintaining a competitive advantage. Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems.

Data Warehouse 111

Data Warehouse Metadata Publishing Sales 111