Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Alation

FEBRUARY 13, 2020

In an earlier blog, I defined a data catalog as “a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses.”.

Metadata 52

Metadata Management Data Lake Data Governance 52

Alation

JANUARY 26, 2023

That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case. How can data engineers address these challenges directly?

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Alation

FEBRUARY 13, 2020

Human Curation + Machine Learning. The way Herschel, Fry, and Zimmerman talked about AI in many respects reflects our vision for machine learning data catalogs. What’s more, Zaidi and Gartner believe that this vision of a machine-learning-enabled data catalog creates real value for enterprises.

Machine Learning 52

Machine Learning Data Analytics Analytics Metadata 52

Alation

AUGUST 30, 2022

We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. Centralization of metadata. A decade ago, metadata was everywhere. Consequently, useful metadata was unfindable and unusable. Then Alation came along.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Data ingestion through ‘s3’. Ozone Namespace Overview.

Data Science 109

Data Science Forecasting Metadata Machine Learning 109

IBM Big Data Hub

APRIL 10, 2023

To further the above, organizations should have the right foundation that consists of a modern data governance approach and data architecture. It’s becoming critical that organizations should adopt a data architecture that supports AI governance. The time for data professionals to meet this challenge is now.

Strategy 93

Strategy Data Architecture Cost-Benefit Reporting 93

Cloudera

JUNE 7, 2023

Agencies should inventory, categorize, and label data; protect data at rest and in transit; and deploy mechanisms to detect and stop data exfiltration. Agencies should carefully craft and review data governance policies to ensure all data lifecycle security aspects are appropriately enforced across the enterprise.”

Metadata 79

Metadata Data Lake Optimization Modeling 79

Alation

DECEMBER 15, 2022

June 2017: Dresner Advisory Services names Alation the #1 data catalog in its inaugural Data Catalog End-User Market Study. August 2017: Alation debuts as a leader in the Gartner MQ for Metadata Management Solutions. August 2018: Gartner names Alation a 2X Leader in the MQ for Metadata Management Solutions.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

IBM Big Data Hub

JULY 6, 2022

With traditional approaches , data issues are reported by data users as they try to access and use the data and may take weeks to fix, if they’re found at all. starts at the data source, collecting data pipeline metadata across key solutions in the modern data stack like Airflow, dbt, Databricks and many more.

Metadata 57

Metadata Data Quality Snapshot Cost-Benefit 57

Alation

JULY 15, 2021

Eckerson recommends Alation for companies focused on supporting a wide range of users with a collaborative, social platform: Alation takes a people-oriented approach to the data catalog, seeking to foster collaboration and conversation about data. The Behavioral Analysis Engine (BAE) observes how people use data to better serve them.

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Cloudera

MARCH 22, 2023

Luke Roquet recently drilled into the topic of data observability with Mark Ramsey of Ramsey International (RI) to also cover the five pillars (freshness, distribution, volume, schema, and lineage) that describe the quality and reliability of data. And, crucial for a hybrid data platform, it does so across hybrid cloud.

Metrics 85

Metrics Data Governance Cost-Benefit Dashboards 85

Alation

FEBRUARY 13, 2020

Why do we need a data catalog? What does a data catalog do? These are all good questions and a logical place to start your data cataloging journey. Data catalogs have become the standard for metadata management in the age of big data and self-service analytics. Figure 1 – Data Catalog Metadata Subjects.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains. Open source solutions reduce risk.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

IBM Big Data Hub

JUNE 23, 2022

Data governance – Some of the most exciting governance capabilities of the IBM Data fabric include automatically applying metadata to new datasets using machine learning as well as auto-generated data quality assessments and scoring and AI-based dataset recommendations. Providing the semantic.

Enterprise 52

Enterprise Metadata Data Governance Machine Learning 52

Alation

MAY 20, 2021

Data search just got better. Alation has upgraded search with ranking that weights valuable social signals, and a new view that shares metadata alongside results. Searchers can now hunt through data domains, with filters that help them spotlight the best asset more quickly. With the latest release of 2021.2, Trust flag text.

Enterprise 52

Enterprise Metadata Data Quality Machine Learning 52

IBM Big Data Hub

JUNE 30, 2022

The right data strategy and architecture allows users to access different types of data in different places — on-premises, on any public cloud or at the edge — in a self-service manner. Learn more about how to design and implement a data strategy that takes advantage of a hybrid multicloud landscape.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

Alation

FEBRUARY 13, 2020

Making datasets easy to find, understand, and access is the purpose of data curation—a purpose that demands well-described datasets. Data curation is a metadata management activity and data catalogs are essential data curation technology. Who Are the Data Curators? What about Data Stewards?

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 52

Alation

SEPTEMBER 16, 2021

In essence, this is what Alation data intelligence is: A focus on the human experience around data, coupled with a compassionate commitment to improving this experience in every way. AI & machine learning to learn from & scale brilliance. Data intelligence complements human labor with machine learning.

Machine Learning 52

Machine Learning Data Governance Software Metadata 52

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. SECURITY AND GOVERNANCE LEADERSHIP. Show us what is possible! .

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

Alation

JUNE 16, 2021

Data governance is a growing focus. Government, financial services, and healthcare organizations show growing interest in governance features, and more than 91% of respondents shared that governing and sharing data is critical, very important, or important. Subscribe to Alation's Blog.

Reporting 52

Reporting Business Intelligence Data Governance Metadata 52

Ontotext

MARCH 18, 2020

The third challenge is how to combine data management with analytics. In today’s business climate, data quality and governance are no longer enough. Enterprises also need to incorporate machine learning algorithms for the smart interpretation of this data. Ontotext Knowledge Graph Platform.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Alation

JUNE 30, 2021

“Alation pioneered the data catalog market and is a leader in this radar report because of its continued innovation,” said Andrew Brust, Analyst at GigaOm. The Data Culture Platform. Data culture springs from human collaboration and innovation. Subscribe to Alation's Blog.

Reporting 52

Reporting Metadata Data-driven Marketing 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. Figure 1 – Data Catalog Implementation. Will data stewards assume curation responsibilities?

Metadata 52

Metadata Data Governance Cost-Benefit Visualization 52

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. But for most enterprise, using machine learning…not really.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Alation

NOVEMBER 4, 2021

The practitioner asked me to add something to a presentation for his organization: the value of data governance for things other than data compliance and data security. Now to be honest, I immediately jumped onto data quality. Data quality is a very typical use case for data governance.

Data Governance 94

Data Governance Metadata Data Quality Enterprise 94

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. Several factors are driving the adoption of knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Alation

FEBRUARY 13, 2020

Following a very successful year of growth in Alation’s business, this announcement marks a milestone for Alation and the enterprise data catalog market. What started six years ago as one startup trying to improve the way people work with data has become a full-blown market category – Machine Learning Data Catalogs.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Alation

FEBRUARY 13, 2020

A key finding of the survey is that the ability to find data contributes greatly to the success of BI initiatives. In the study, 75% of the 770 survey respondents indicated having difficulty in locating and accessing analytic content including data, models, and metadata. Subscribe to Alation's Blog.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

Ontotext

JANUARY 10, 2024

Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. A slightly different angle to the same problem is discussed in a recent Ontotext blog post. So, they become very data-driven.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

IBM Big Data Hub

JULY 28, 2022

Metadata enrichment is about scaling the onboarding of new data into a governed data landscape by taking data and applying the appropriate business terms, data classes and quality assessments so it can be discovered, governed and utilized effectively. Scalability and elasticity.

Metadata 57

Metadata Data Quality Machine Learning Statistics 57

AWS Big Data

OCTOBER 4, 2023

Additionally, data owners and data stewards can make data discovery simpler by adding business context to data while balancing access governance to the data via pre-defined approval workflows in the user interface. Automate data discovery and cataloging with machine learning (ML).

Metadata 103

Metadata Data Lake Publishing Data Governance 103

Alation

FEBRUARY 13, 2020

Since we launched, Alation has made it easier for data consumers to find, understand, and trust relevant datasets. Alation is the FUTURe of working with data, and in an age where all work is knowledge work, that means Alation is the future of work. Subscribe to Alation's Blog. The future starts now.

Recreation/Entertainment 52

Recreation/Entertainment Machine Learning Data-driven Consulting 52

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

IBM Big Data Hub

APRIL 27, 2022

Gartner defines a data fabric as “a design concept that serves as an integrated layer of data and connecting processes. The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. What’s a data mesh? 11 May 2021. . 3 March 2022.

Management 86

Management Metadata Data Architecture Data Lake 86