Cloudera

DECEMBER 9, 2022

They value NiFi’s visual, no-code, drag-and-drop UI, the 450+ out-of-the-box processors and connectors, as well as the ability to interactively explore data by starting individual processors in the flow and immediately seeing the impact as data streams through the flow. . Enabling self-service for developers.

Testing 98

Testing Cost-Benefit Interactive Visualization 98

Cloudera

MARCH 14, 2023

Allows them to iteratively develop processing logic and test with as little overhead as possible. With the general availability of DataFlow Designer, developers can now implement their data pipelines by building, testing, deploying, and monitoring data flows in one unified user interface that meets all their requirements.

Testing 82

Testing Publishing Metadata Interactive 82

Alation

DECEMBER 21, 2022

A data catalog is a metadata repository of information sources across the enterprise, including data sets, business intelligence reports, visualizations, and conversations. Documenting rule definitions and corrective actions guide domain owners and stewards in addressing quality issues. Data Catalog and Master Data Management.

Management 52

Management Data Quality Metadata Testing 52

Ontotext

JUNE 22, 2023

The long wait comes from the need for extensive testing in order to ensure that a drug is safe and efficient before it can be available to those who need it. On top of that, data is sometimes unreliable , and inaccurate or missing metadata makes it hard to decide which information to trust.

Metrics 52

Metrics Statistics Visualization Metadata 52

Insight

MARCH 12, 2020

Data Collection The AIgent leverages book synopses and book metadata. To my knowledge, the most extensive repository of synopses and metadata is Goodreads. To collect these genre tags and other metadata, I took advantage of the well-documented Goodreads API. features) and metadata (i.e. 95 F1 scores across genres.

Modeling 59

Modeling Metadata Publishing Sales 59

AWS Big Data

MARCH 13, 2024

The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. You can test this solution yourself using the AWS Samples GitHub repository. Visual layouts in some screenshots in this post may look different than those on your AWS Management Console.

Analytics 97

Analytics IoT Metadata Internet of Things 97

AWS Big Data

NOVEMBER 16, 2023

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge and adherence to battle-tested best practices, and using the right tools and features in the right scenario. system implemented with Amazon Redshift.

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

DataKitchen

FEBRUARY 2, 2023

DataOps Automation (Orchestration, Environment Management, Deployment Automation) DataOps Observability (Monitoring, Test Automation) Data Governance (Catalogs, Lineage, Stewardship) Data Privacy (Access and Compliance) Data Team Management (Projects, Tickets, Documentation, Value Stream Management) What are the drivers of this consolidation?

Metadata 130

Metadata Testing Risk Data Science 130

AWS Big Data

SEPTEMBER 7, 2023

AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. The AWS Glue crawler writes metadata to the Data Catalog by classifying the data to determine the format, schema, and associated properties of the data. For additional information, see Visualize with QuickSight using Athena.

Metadata 102

Metadata Dashboards Metrics Visualization 102

CIO Business Intelligence

AUGUST 15, 2023

Already in testing with a small number of customers, Now Assist for Virtual Agent will be generally available from September. May 2023 Alteryx generates data visualizations with AI Analytics automation vendor Alteryx uses generative AI to add three new functions to its data visualization platform.

Software 98

Software Enterprise Sales Visualization 98

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. They sold off most of the company later, retaining some of its IP, and are known to have kept copies of internal documents. Allows metadata repositories to share and exchange.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

IBM Big Data Hub

FEBRUARY 26, 2024

Download the Gartner® Market Guide for Active Metadata Management 1. With this expanded observability, incidents can be prevented in the design phase or identified in the implementation and testing phase to reduce maintenance costs and achieve higher productivity. Do we need weeks or months to complete a report?

Cost-Benefit 103

Cost-Benefit Metadata Data Governance Reporting 103

Alation

APRIL 14, 2022

In today’s AI/ML-driven world of data analytics, explainability needs a repository just as much as those doing the explaining need access to metadata, EG, information about the data being used. Visual Profiling. Automatic sampling to test transformation. The Cloud Data Migration Challenge. Pattern Matching. Scheduling.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

erwin

SEPTEMBER 25, 2020

Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. It serves as a visual guide in designing and deploying databases with high-quality data sources as part of application development. In this post: What Is a Data Model? Why Is Data Modeling Important?

Modeling 111

Modeling Cost-Benefit Visualization Metadata 111

AWS Big Data

MARCH 11, 2024

Create a user-facing table in the Redshift cluster and use dot notation to unnest the JSON document from the streaming materialized view into data columns of the table. Establish connectivity between an Amazon QuickSight dashboard and Amazon Redshift to deliver visualization and insights.

Analytics 67

Analytics Data Warehouse Optimization Metrics 67

AWS Big Data

JUNE 19, 2023

OpenSearch Service is a fully managed and scalable log analytics framework that is used by customers to ingest, store, and visualize data. We also walk you through how to use a series of prebuilt visualizations to view events across multiple AWS data sources provided by Security Lake.

Publishing 87

Publishing Dashboards Visualization Management 87

O'Reilly on Data

JULY 25, 2023

Swift Papers felt like a well-scoped project to test how well AI handles a realistic yet manageable real-world programming task. I also installed the latest VS Code (Visual Studio Code) with GitHub Copilot and the experimental Copilot Chat plugins, but I ended up not using them much. That is the basic premise of my project.

Consulting 246

Consulting Interactive Software IT 246

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 69

Machine Learning Data Warehouse Modeling Cost-Benefit 69

Sisense

AUGUST 21, 2020

One result is that systems become much more intuitive: Users can take advantage of the “Simply Ask” feature to check “what are my sales next two months” and receive chatbot messages with projected visualizations and suggestions for further exploration routes. It’s visual, it’s spoken, it’s audible. Trend 2: Decline of the dashboard.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

AWS Big Data

MARCH 22, 2023

The IdP metadata is displayed. In the SAML Certificates section, download the Federation Metadata XML file and the Certificate (Raw) file. For IdP SAML metadata under the Identity provider metadata section, choose Choose file. Choose the previously downloaded metadata file ( IIC-QuickSight.xml ). Choose Save.

Management 95

Management Metadata Enterprise Testing 95

Alation

JANUARY 17, 2023

Great data science tools will assist data scientists and citizen data scientists in testing and training datasets for developing models, and ultimately for deploying them. Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data. 4) Start visualizing data using business intelligence tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Domino Data Lab

AUGUST 8, 2019

The second rule of Foo Camp concerns a practice called “FrieNDA” where people speak candidly and others respect that without either (1) “Oh gosh I must live tweet stream this amazing insight” or (2) anybody having to sign legal documents. The gist is, leveraging metadata about research datasets, projects, publications, etc.,

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Rocket-Powered Data Science

SEPTEMBER 20, 2021

They realized that the search results would probably not provide an answer to my question, but the results would simply list websites that included my words on the page or in the metadata tags: “Texas”, “Cows”, “How”, etc. That’s enterprise-wide agile curiosity, question-asking, hypothesizing, testing/experimenting, and continuous learning.

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. Like an apartment blueprint, Data lineage provides a written document that is only marginally useful during a crisis. Are problems with data tests?

Data Quality 130

Data Quality Testing Snapshot Reporting 130

Alation

FEBRUARY 17, 2023

You could visualize data governance and data management as two sides of the same coin; while one side specifies the business details, the other implements the control. First, document your successes of good data, and how it happened. In this way, data governance is the business or process side. Seeing is believing! Here’s an example.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

erwin

NOVEMBER 6, 2020

Metadata Harvesting and Ingestion : Automatically harvest, transform and feed metadata from virtually any source to any target to activate it within the erwin Data Catalog (erwin DC). Data Cataloging: Catalog and sync metadata with data management and governance artifacts according to business requirements in real time.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements. Did it fail?

Testing 130

Testing Data Governance Data Quality Data-driven 130

O'Reilly on Data

NOVEMBER 7, 2019

Synthetic video is useful for creating and animating Anime characters ; NVidia has used generative adversarial networks (GANs) to create visuals that can be used in video games. In addition to direct fake detection, it should be possible to use metadata to help detect and limit the spread of fakes.

Advertising 150

Advertising Metadata Technology Software 150

Jet Global

FEBRUARY 23, 2024

Data mapping helps standardize, visualize, and understand data across different systems and applications. ETL tools offer a visual or script-based environment where users can define and customize the transformation processes. Data mapping is important for several reasons.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 1, 2023

Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. Today, free visualizations seem to be everywhere. It’s all about context. End users expect more from analytics too.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52