Alation

JUNE 16, 2021

Alation has been named the #1 data catalog in Dresner Advisory Services’ 2021 Wisdom of Crowds® Data Catalog Market Study. Vendor ratings are based on feedback from actual data-catalog users, making this the only market study on data catalogs of its kind. business intelligence) solution.

Reporting 52

Reporting Business Intelligence Data Governance Metadata 52

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

Alation

FEBRUARY 20, 2020

We are living in a new era of data defined by two massively disruptive trends – one architectural and the other organizational. Architecturally the introduction of Hadoop, a file system designed to store massive amounts of data, radically affected the cost model of data. A “big data” revolution has ensued.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

Alation

FEBRUARY 20, 2020

As big data matures, the way you think about it may have to shift also. It’s no longer enough to build the data warehouse. Dave Wells, analyst with the Eckerson Group suggests that realizing the promise of the data warehouse requires a paradigm shift in the way we think about data along with a change in how we access and use it.

Data Warehouse 52

Data Warehouse Metadata Data Lake Data Architecture 52

Alation

AUGUST 16, 2022

This week, IDC released its second IDC MarketScape for Data Catalogs report, and we’re excited to share that Alation was recognized as a leader for the second consecutive time. All catalog vendors provide a “range” of capabilities. Many data catalogs suffer from a lack of adoption because they are too technical.

Data Quality 52

Data Quality Data Governance Metadata Reporting 52

Alation

NOVEMBER 8, 2021

In the previous blog , we discussed how organizations are pursuing data culture and why most are failing. But using the right tools can help them scale data-driven initiatives. Challenge #1: Ability to Find and Trust Data. Traditionally, self-service reporting analytics and data governance have been opposed.

Dashboards 52

Dashboards Recreation/Entertainment Metadata Data-driven 52

Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. As an organization embraces digital transformation , more data is available to inform decisions. To use that data, decision-makers across the company will need to have access. It can also help prevent data misuse. Value and Challenges.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

DataRobot Blog

FEBRUARY 15, 2023

For true impact, AI projects should involve data scientists, plus line of business owners and IT teams. By 2025, according to Gartner, chief data officers (CDOs) who establish value stream-based collaboration will significantly outperform their peers in driving cross-functional collaboration and value creation.

Machine Learning 52

Machine Learning Modeling Cost-Benefit Metrics 52

Cloudera

SEPTEMBER 17, 2018

However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. Consider the following: More data types to be queried, but increasingly the data resides in separate silos.

Data Warehouse 53

Data Warehouse Optimization Visualization Unstructured Data 53

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

Cloudera

MAY 22, 2018

Times are changing, and the traditional models of analytics and data management don’t serve the needs of the modern enterprise, so the way to address these topics is changing too. The typical approach has been on-premises data centers, stuffed with racks of dedicated hardware for single-purpose applications, available to only a few people.

Enterprise 40

Enterprise Recreation/Entertainment Data Warehouse Machine Learning 40