IBM Big Data Hub

FEBRUARY 22, 2024

IBM’s Scaled Data Science Method , an extension of CRISP-DM, offers governance across the AI model lifecycle informed by collaborative input from data scientists, industrial-organizational psychologists, designers, communication specialists and others. This should all be baked into the interpretable, findable metadata).

Metadata 93

Metadata Measurement Risk Modeling 93

AWS Big Data

MAY 4, 2023

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. Over the last decade, we’ve seen a surge in data science frameworks coming to fruition, along with mass adoption by the data science community. Data scientists have access to the Jupyter notebook hosted on SageMaker.

Data Processing 96

Data Processing Metadata Informatics Interactive 96

CIO Business Intelligence

JUNE 14, 2023

Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. Even if you live and breathe tech every day, it’s difficult to conceptualize how big “big” really is.

Unstructured Data 62

Unstructured Data IT Manufacturing Visualization 62

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.

Management 80

Management Metadata Data Architecture Data Lake 80

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. Choose a hybrid data-first strategy to deliver value faster.

IT 110

IT Data Architecture Unstructured Data Big Data 110

AWS Big Data

AUGUST 16, 2023

Change Data Capture (CDC) in the context of a data lake refers to the process of capturing and propagating changes made to source data. Source systems often lack the capability to publish data that is modified or changed. We fetch the metadata of the users_xxxxxx table from Athena.

Data Lake 73

Data Lake Metadata Testing Snapshot 73

CIO Business Intelligence

JUNE 23, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. Sure we can help you secure, manage, and analyze PetaBytes of structured and unstructured data.

IT 71

IT Data Architecture Unstructured Data Big Data 71

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

Alation

FEBRUARY 13, 2020

Gartner: Magic Quadrant for Metadata Management Solutions. Magic Quadrant for Metadata Management Solutions 4 based on its ability to execute and completeness of vision. Today, metadata management has become a critical business driver as data leaders seek to govern and maximize the value from the influx of data at their disposal.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 104

Data Lake Sales Data Warehouse Snapshot 104

Cloudera

FEBRUARY 11, 2019

The Magic Quadrant (MQ) is an established, widely-referenced series of research reports published by the analyst firm Gartner, Inc. The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market.

Management 43

Management Metadata Analytics Machine Learning 43

IBM Big Data Hub

MAY 9, 2023

Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1] 1] Users can access data through a single point of entry, with a shared metadata layer across clouds and on-premises environments.

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

Domino Data Lab

OCTOBER 9, 2019

Data Science meets Climate Science. Environment Data Management (EDM) is an annual meeting for data management teams at the NOAA , this year chaired by Kim Valentine and Eugene Burger. Data veracity, data stewardship, and heros of data science. Metadata Challenges.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Rinse, lather, repeat. Those are table stakes in this game.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

AWS Big Data

FEBRUARY 2, 2023

Enable the Cost and Usage Reports The AWS Cost and Usage Reports (AWS CUR) contains the most comprehensive set of cost and usage data available. You can use Cost and Usage Reports to publish your AWS billing reports to an S3 bucket that you own.

Reporting 89

Reporting Data Lake Management Optimization 89

O'Reilly on Data

MARCH 20, 2019

Especially in today’s overheated and turnover-prone data “science” market.) Distributed systems and models : For better or worse, we live in the age of big data. Many organizations are now using distributed data processing and machine learning systems.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. Research VP, Business Analytics and Data Science.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Andrew White

JANUARY 11, 2021

This was for the Chief Data Officer, or head of data and analytics. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. As such a head of analytics, BI and data science may emerge. Many data science labs are set up as shared services.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Insight

SEPTEMBER 10, 2019

In the data engineering program at Insight Data Science, some Fellows choose to use Pegasus as a tool to quickly stand-up instances on Amazon Web Services and install the necessary distributed computing technologies. Next, Pegasus will identify where the data node will store its metadata.

Metadata 40

Metadata Data Processing Technology Data Science 40