Cloudera

FEBRUARY 11, 2021

When Kudu was first introduced as a part of CDH in 2017, it didn’t support any kind of authorization so only air-gapped and non-secure use cases were satisfied. Metadata should still be granted on db=foo->tbl=* as it is required to check if the newly created table exists, which is the last step of table creation.

Metadata 52

Metadata Management IT Analytics 52

erwin

DECEMBER 20, 2018

An erwin-UBM study conducted in late 2017 sought to determine the biggest drivers for data governance. In addition to compliance, top drivers turned out to be improving customer satisfaction, reputation management, analytics and Big Data. The Top Five Data Governance Use Cases and Drivers. www.erwin.com/blog/data-governance-use-cases/.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Allows metadata repositories to share and exchange. Adds governance, discovery, and access frameworks for automating the collection, management, and use of metadata.

Data Governance 84

Data Governance Machine Learning Metadata Data Science 84

AWS Big Data

OCTOBER 31, 2024

The data mesh, built on Amazon DataZone , simplified data access, improved data quality, and established governance at scale to power analytics, reporting, AI, and machine learning (ML) use cases. In addition, they use generative AI capabilities to generate business metadata. This led to reduced trust in the data.

57

57

Smart Data Collective

FEBRUARY 11, 2021

Data analytics is the linchpin of digital business strategies in the 21st Century. Sensible companies need to know how to properly utilize data analytics to take full advantage of all of their digital resources. The Intersection Between Data Analytics and Digital Asset Management. DAM as a collaboration tool.

Marketing 84

Marketing Data Analytics Management Analytics 84

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Alation

FEBRUARY 20, 2020

A recent report from Gartner, Data Catalogs Are the New Black in Data Management and Analytics finds that, “Demand for data catalogs is soaring as organizations struggle to inventory distributed data assets to facilitate data monetization and conform to regulations.”* In our financial Q4 2017 alone, we added 23 new customers.

Enterprise 52

Enterprise Metadata Data-driven Strategy 52

CIO Business Intelligence

MAY 6, 2022

We’re ranking it and supplying some metadata over to Acquire platform so they can queue it up for us intelligently,” Bence says. “As They expose their APIs for us to retrieve calls and provide engagement summaries afterwards … records of the engagement, the duration of it, so that we can feed it into our analytics reporting.”.

Uncertainty 98

Uncertainty Testing Metadata Digital Transformation 98

Cloudera

APRIL 21, 2022

Most of the massive data-management tasks DoD faces fall into that area where data, analytics, and the cloud intersect. The VA then announced in June 2017 that it would use DoD’s MHS Genesis system for electronic health records, which is being built under a 10-year contract awarded in 2015 and projected to ultimately cost $10 billion. .

Metadata 92

Metadata Informatics Insurance Data Processing 92

Ontotext

MAY 18, 2020

As of 2017, the fastest computers have reached a speed of 93 PetaFLOPS, which is: 93×1015, or 93,000,000,000,000,000 operations per second. ExaMode, an acronym for Extreme-scale Analytics via Multimodal Ontology Discovery & Enhancement, is a project funded by the European Union, H2020 programme. Certainly not!

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Cloudera

DECEMBER 7, 2017

Cloud promises many advantages as an environment for machine learning and analytics. Cloud offers elasticity of those resources to efficiently support transient analytics workloads and data pipelines. Yet there is often a dark side to using public cloud service providers’ analytics offerings in the cloud, too.

Management 41

Management Cost-Benefit Machine Learning Metadata 41

Cloudera

APRIL 9, 2019

of application workloads were still on-premises in enterprise data centers; by the end of 2017, less than half (47.2%) were on-premises. An integrated suite of data management and analytics tools in a single platform enables cost-effective delivery of complex, multiple use cases and thus reduces overall TCO. In 2016, 60.9%

Strategy 57

Strategy Experimentation Metadata Business Objectives 57

O'Reilly on Data

MARCH 23, 2023

All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. But Transformers have some other important advantages: Transformers don’t require training data to be labeled; that is, you don’t need metadata that specifies what each sentence in the training data means.

IT 270

IT Modeling Testing Risk 270

Domino Data Lab

AUGUST 8, 2019

The gist is, leveraging metadata about research datasets, projects, publications, etc., Plus, we’re seeing how these issues surface in regulated environments, which have increasingly become target use cases for the popular open source projects used for data analytics infrastructure: Spark, Jupyter, Kafka, etc.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

DataRobot Blog

MARCH 9, 2022

The Amazon Product Reviews Dataset provides over 142 million Amazon product reviews with their associated metadata, allowing machine learning practitioners to train sentiment models using product ratings as a proxy for the sentiment label. We use the term “document” loosely.)

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

Alation

FEBRUARY 13, 2020

This was an eventful year in the world of data and analytics. With RevAlation, we are gathering a community built on shared curiosity around data and analytics and providing them with the ability to meet that curiosity with curated discovery,” said Satyen Sangani, our CEO and co-founder. Be it the surprising $5.2

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Alation

FEBRUARY 20, 2020

In a nod to AC/DC, a wink to Gartner’s research report, Data Catalogs Are the New Black in Data Management and Analytics , and inspiration from the inaugural Forrester Wave : Machine Learning Data Catalogs , we have temporarily set aside our Alation orange and have been rocking “black” for the Alation MLDC World Tour.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more. Again, metadata is key. What Is Data Intelligence? These questions are: Who is using what data?

Metadata 64

Metadata Data Governance Dashboards Software 64

Domino Data Lab

SEPTEMBER 9, 2019

This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries. metadata=convention_df["speaker"]? ). The complementary Domino project is also available. Introduction. category="democrat",?.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110