TDAN

SEPTEMBER 3, 2019

As I write this, I can almost hear you wail “No, no, we don’t have too much metadata, we don’t have nearly enough! We have several projects in flight to expand our use of metadata.” Sorry, I’m going to have to disagree with you there. You are on a fool’s errand that will just provide […].

Metadata 65

Metadata Data Governance Big Data Modeling 65

TDAN

MAY 17, 2022

There is… but one… Data Governance. Maybe you are one who believes that there is something called Master Data Governance, Information Governance, Metadata Governance, Big Data Governance, Customer [or insert domain name here] Data Governance, Data Governance 1.0 – 2.0 – 3.0,

Data Governance 98

Data Governance Metadata Big Data Data Strategy 98

datapine

SEPTEMBER 29, 2022

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Rocket-Powered Data Science

MARCH 10, 2020

How does one express “context” in a data model? Ahh, that’s the topic for another article. Any node and its relationship to a particular node becomes a type of contextual metadata for that particular note. And this: perhaps the most powerful node in a graph model for real-world use cases might be “context”.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

TDAN

NOVEMBER 5, 2019

Maybe you are one of those that believe that there is something called Master Data Governance, Information Governance, Metadata Governance, Big Data Governance, Customer [or insert domain name here] Data Governance, Data Governance 1.0 – 2.0 – 3.0, […].

Data Governance 69

Data Governance Metadata Big Data Data Strategy 69

TDAN

MAY 4, 2021

The expansion of big data applications has created opportunities across economic sectors. In healthcare, however, the potential of big data applications goes far beyond the financial. The contextual data gleaned from big data can drive healthcare solutions and accessibility to new heights.

Contextual Data 98

Contextual Data Big Data IT Metadata 98

FineReport

FEBRUARY 5, 2020

Both the investment community and the IT circle are paying close attention to big data and business intelligence. Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. Analytics dashboards.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Alation

JANUARY 25, 2022

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail.

Metadata 52

Metadata IT Metrics Data-driven 52

Alation

JULY 22, 2021

This course called on the students to utilize the catalog to find and query sample data, and then to publish results into articles on the site. For the course, ‘Big Data and Society’, we loaded publicly available COVID-19 data into the catalog for student use and investigation.

Informatics 98

Informatics Big Data Insurance Metadata 98

Alation

FEBRUARY 20, 2020

We define it as this: Data acquisition is the processes for bringing data that has been created by a source outside the organization, into the organization, for production use. Prior to the Big Data revolution, companies were inward-looking in terms of data. THE NEED FOR METADATA TOOLS.

Metadata 52

Metadata IT Data Governance Data Warehouse 52

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

TDAN

MARCH 19, 2019

The restaurant and catering sector is one of the largest industries which serves the expectations of millions daily. While everyone visits establishments like restaurants with their own sets of expectations, it is up to the players in this sector to ensure those expectations are being met.

Big Data 40

Big Data IT Metadata Business Intelligence 40

Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. Target User Group. A Final Word.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Structured Data 139

Cloudera

MAY 6, 2021

In the introductory article of this series, I presented the overarching framework for quantifying the value of the Cloudera Data Platform (CDP): . Replication Manager: A mechanism that helps migrating workloads between clouds and form factors (CDP Private and Public Cloud) and metadata with minimal effort.

Strategy 91

Strategy Cost-Benefit Optimization Risk 91

IBM Big Data Hub

NOVEMBER 21, 2023

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. Apache Kafka transfers data without validating the information in the messages. Kafka does not examine the metadata of your messages.

Data Quality 100

Data Quality Metadata Data-driven Optimization 100

IBM Big Data Hub

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training.

Risk 66

Risk Deep Learning Metadata Modeling 66

IBM Big Data Hub

AUGUST 17, 2023

It will help them operationalize and automate governance of their models to ensure responsible, transparent and explainable AI workflows, identify and mitigate bias and drift, capture and document model metadata and foster a collaborative environment. million data points are captured, drawn from every shot of every match.

Unstructured Data 92

Unstructured Data Statistics Consulting Enterprise 92

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Agile Data. Another podcast we think is worth a listen is Agile Data. Techcopedia follows the latest trends in data and provides comprehensive tutorials.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

AWS Big Data

JULY 28, 2023

Tagging Consider tagging your Amazon Redshift resources to quickly identify which clusters and snapshots contain the PII data, the owners, the data retention policy, and so on. Tags provide metadata about resources at a glance. Use Amazon DataZone Amazon DataZone introduces a business metadata catalog.

Snapshot 86

Snapshot Metadata Measurement Data Warehouse 86

AWS Big Data

APRIL 27, 2023

GET realestate/_search { "query": { "bool": { "filter": [ { "term": { "city": "Chicago" } }, { "term": { "house_type": "townhouse" } }, { "range": { "price": { "lte": 500000 } } } ] } } } If you’re curious to know how search works under the hood at high level, you can refer to this article.

Metadata 70

Metadata Dashboards Visualization Interactive 70

Domino Data Lab

APRIL 3, 2019

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. In other words, #adulting. Cynical Perspectives.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Alation

JULY 6, 2021

Modern data governance relies on automation, which reduces costs. Automated tools make data governance processes very cost-effective. Machine learning plays a key role, as it can increase the speed and accuracy of metadata capture and categorization. Data catalogs solve the technical data governance challenges caused by silos.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

AWS Big Data

APRIL 28, 2023

describe-table Describes the detailed information about a table including column metadata. The result set contains the complete result set and the column metadata. If you want to get help on a specific command, run the following command: aws redshift-data list-tables help Now we look at how you can use these commands.

Interactive 94

Interactive Metadata Data Warehouse Data-driven 94

Smart Data Collective

MARCH 19, 2023

Many different industries are growing due to the proliferation of big data. Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” The dropshipping industry is among them.

Predictive Analytics 128

Predictive Analytics Analytics Manufacturing Advertising 128

Cloudera

MAY 5, 2021

It fills the scheduling gap while running Big Data workloads on Kubernetes, with a ton of useful features such as hierarchical queues, elastic queue quotas, resource fairness, and job ordering. Apache YuniKorn (Incubating) is a new Apache incubator project that offers rich scheduling capabilities on Kubernetes.

Metadata 136

Metadata Machine Learning Big Data IT 136

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Monica Youngman, director of data stewardship—check out her slides for the “Data Archiving at NOAA” keynote.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

TDAN

AUGUST 1, 2023

Much of the discussion is akin to data mesh and data fabric where business owners and management are hearing the term and asking what a Zero Trust product is. The term is also permeating data professionals’ conversations. This article provides a brief overview of […]

Management 52

Management Metadata Business Intelligence Big Data 52

Ontotext

MAY 30, 2019

In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk). Linked Data and Volume.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

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. Data Governance 2.0 www.erwin.com/blog/data-governance-2-0-financial-services/.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

IBM Big Data Hub

JANUARY 18, 2023

This article endeavors to alleviate those confusions. Data fabric promotes data discoverability. Here, data assets can be published into categories, creating an enterprise-wide data marketplace. This marketplace provides a search mechanism, utilizing metadata and a knowledge graph to enable asset discovery.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Peter James Thomas

AUGUST 18, 2018

No this article has not escaped from my Maths & Science section , it is actually about data matters. The image at the start of this article is of an Ichthyosaur (top) and Dolphin. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

TDAN

APRIL 6, 2021

There is an ever-increasing awareness of concerns about data privacy, corporate data breaches, increasing demands for regulatory compliance. There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making.

Risk Management 64

Risk Management Risk Management Big Data 64

Data Virtualization

OCTOBER 18, 2022

The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part I appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. In times of potentially troublesome change, the apparent paradox and inner poetry of these.

Data Warehouse 98

Data Warehouse ROI Data Integration Internet of Things 98

O'Reilly on Data

MAY 21, 2019

Thus, many developers will need to curate data, train models, and analyze the results of models. With that said, we are still in a highly empirical era for ML: we need big data, big models, and big compute. A typical data pipeline for machine learning. Data results from a Twitter poll.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

IBM Big Data Hub

JULY 17, 2023

sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support. foundation models to help users discover, augment, and enrich data with natural language.

Machine Learning 64

Machine Learning Data Warehouse Modeling Cost-Benefit 64

Cloudera

DECEMBER 7, 2020

Apache Hadoop Distributed File System (HDFS) is the most popular file system in the big data world. The Apache Hadoop File System interface has provided integration to many other popular storage systems like Apache Ozone, S3, Azure Data Lake Storage etc. Migrating file systems thus requires a metadata update. .

Metadata 59

Metadata Sales Management Data Lake 59

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization?

Data Architecture 61

Data Architecture Data Lake Machine Learning Data Governance 61