O'Reilly on Data

JUNE 19, 2019

Versioning (of models, feature vectors , data) and the ability to roll out, roll back, or have multiple live versions. Metadata and artifacts needed for a full audit trail. A dashboard that provides custom views for all principals (operations, ML engineers, data scientists, business owners).

Modeling 256

Modeling Machine Learning Testing Metrics 256

DataKitchen

OCTOBER 11, 2021

She applies some calculations and forwards the file to a data engineer who loads the data into a database and runs a Talend job that performs ETL to dimensionalize the data and produce a Data Mart. The data engineer then emails the BI Team, who refreshes a Tableau dashboard. Monitoring Job Metadata.

Testing 152

Testing Metadata Dashboards Statistics 152

DataKitchen

SEPTEMBER 21, 2023

These layers help teams delineate different stages of data processing, storage, and access, offering a structured approach to data management. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

AWS Big Data

SEPTEMBER 11, 2024

The application supports custom workflows to allow demand and supply planning teams to collaborate, plan, source, and fulfill customer orders, then track fulfillment metrics via persona-based operational and management reports and dashboards. This metadata file is later used to read source file names during processing into the staging layer.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

Alation

DECEMBER 7, 2021

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. Do we have end-to-end data pipeline control?

Data Quality 52

Data Quality Metadata Data Governance Testing 52

AWS Big Data

MAY 1, 2024

To achieve data-driven management, we built OneData, a data utilization platform used in the four global AWS Regions, which started operation in April 2022. The platform consists of approximately 370 dashboards, 360 tables registered in the data catalog, and 40 linked systems. Promote and expand the use of databases.

Dashboards 124

Dashboards Publishing Data-driven Cost-Benefit 124

AWS Big Data

MAY 7, 2024

Figure 1: Flow of actions for self-service analytics around data assets stored in relational databases First, the data producer needs to capture and catalog the technical metadata of the data asset. The producer also needs to manage and publish the data asset so it’s discoverable throughout the organization.

Metadata 107

Metadata Data Lake Data Processing Data-driven 107

AWS Big Data

JUNE 14, 2023

In this post, we discuss how QuickSight has helped us improve our performance, democratize our data, and provide insights to our internal customers at scale. One of our ProServe teams has 19 dashboards on QuickSight, including Catalog, Trend and Analysis, KPI Monitoring, Business Management, and Quality Control.

Dashboards 104

Dashboards KPI Scorecard Metadata 104

erwin

SEPTEMBER 2, 2024

Added data quality capability ready for an AI era Data quality has never been more important than as we head into this next AI-focused era. erwin Data Quality is the data quality heart of erwin Data Intelligence. erwin Data Quality is the data quality heart of erwin Data Intelligence.

Data Quality 52

Data Quality Data Processing Measurement Metadata 52

O'Reilly on Data

MARCH 31, 2020

You might have millions of short videos , with user ratings and limited metadata about the creators or content. Job postings have a much shorter relevant lifetime than movies, so content-based features and metadata about the company, skills, and education requirements will be more important in this case.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

DECEMBER 21, 2022

“The number-one issue for our BI team is convincing people that business intelligence will help to make true data-driven decisions,” says Diana Stout, senior business analyst at Schellman, a global cybersecurity assessor based in Tampa, Fl. It’s about being able to find relevant data and connect it through a knowledge graph.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

datapine

JANUARY 31, 2022

BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. This is commonly a data catalog or a marketplace. Let’s take a look.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

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 96

Analytics Data Warehouse Data Lake Metadata 96

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. Then, you transform this data into a concise format.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

Ontotext

SEPTEMBER 15, 2020

The Data Fabric paradigm combines design principles and methodologies for building efficient, flexible and reliable data management ecosystems. Knowledge Graphs are the Warp and Weft of a Data Fabric. To implement any Data Fabric approach, it is essential to be able to understand the context of data.

Metadata 69

Metadata Knowledge Discovery Data Quality Data-driven 69

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Yet finding data is just the beginning.

Metadata 64

Metadata Data Governance Dashboards Software 64

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. Numbers are only good if the data quality is good.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Andrew White

JUNE 11, 2019

Just managing data without effective governance won’t cut it; analyzing data and presenting a dashboard without trust in the data won’t cut it. There is also a lot of action in the data and analytics governance space for sure. The moving parts include but are not limited to: Master Data Management.

IT 82

IT Data Quality Data Integration Business Objectives 82

Cloudera

JULY 17, 2023

What We’ve Covered Throughout the One Big Cluster Stuck series we’ve explored impactful best practices to gain control of your Cloudera Data platform (CDP) environment and significantly improve its health and performance. We’ve shared code, dashboards, and tools to help you on your health improvement journey. Think about that.

Scorecard 69

Scorecard Measurement Dashboards Data-driven 69

Cloudera

MARCH 22, 2023

Cloudera Data Platform (CDP) is no different: it’s a hybrid data platform that meets organizations’ needs to get to grips with complex data anywhere, turning it into actionable insight quickly and easily. And, crucial for a hybrid data platform, it does so across hybrid cloud. as they use CDP.

Metrics 88

Metrics Data Governance Cost-Benefit Dashboards 88

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

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

Cloudera

JUNE 29, 2023

Deliver real-time analytic dashboards, suitable for different stakeholders, that integrate data from payment systems, nostro accounts , internal transactions, and other sources. CDP also enables data and platform architects, data stewards, and other experts to manage and control data from a single location.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

Octopai

MAY 31, 2022

(We’ve had clients who started using our automated data lineage solution, and suddenly everyone in their organization was “trusting their data and believing in their data.”). The visibility provided by data lineage also enables you to streamline your data asset management by breaking down data silos and eliminating redundancies.

Management 52

Management Metadata Business Intelligence ROI 52

Alation

JUNE 21, 2022

Analysts didn’t just want to catalog data sources, they wanted to include dashboards, reports, and visualizations. Why start with a data source and build a visualization, if you can just find a visualization that already exists, complete with metadata about it? Platform means capable of supporting multiple audiences (e.g.,

Metadata 52

Metadata Data Quality Visualization Data Lake 52

Ontotext

JULY 15, 2024

It also adds flexibility in accommodating new kinds of data, including metadata about existing data points that lets users infer new relationships and other facts about the data in the graph. Schemas are an example of how the right metadata can add value to the data it describes.

Contextual Data 52

Contextual Data Metadata Data Quality Publishing 52

Octopai

JUNE 9, 2024

The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards. These data products were intended to enhance patient outcomes, streamline hospital operations, and provide actionable insights for decision-making.

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Alation

NOVEMBER 30, 2022

Alation is the leading platform for data intelligence , delivering critical context about data to empower smarter use; to this end, it centralizes technical, operational, business, and behavioral metadata from a broad variety of sources. Alation Data Catalog centralizes metadata and rich context of data.

Metadata 52

Metadata Data Quality Dashboards Sales 52

erwin

FEBRUARY 28, 2024

While the essence of success in data governance is people and not technology, having the right tools at your fingertips is crucial. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. Next to data governance, data architecture is really embedded in our DNA.

Metadata 52

Metadata Data Governance Data Quality Technology 52

Alation

SEPTEMBER 7, 2021

In the next section, let’s take a deeper look into how these key attributes help data scientists and analysts make faster, more informed decisions, while supporting stewards in their quest to scale governance policies on the Data Cloud easily. Find Trusted Data. Verifying quality is time consuming.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Jet Global

JULY 2, 2019

Ungoverned or uncatalogued data can leave businesses vulnerable both in terms of data quality (and organizational trust in that data), as well as in terms of security, regulatory, and compliance risks.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Ontotext

AUGUST 30, 2024

Building the knowledge graph The LLD Inventory team follows rigorous standards to generate metadata , which describes the data’s content, context, and structure. Metadata is crucial for data discovery, understanding, and management. Data and metadata are synchronized in Ontotext GraphDB using dedicated tooling.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Ontotext

AUGUST 30, 2024

Building the knowledge graph The LLD Inventory team follows rigorous standards to generate metadata , which describes the data’s content, context, and structure. Metadata is crucial for data discovery, understanding, and management. Data and metadata are synchronized in Ontotext GraphDB using dedicated tooling.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Wayne Yaddow

MARCH 14, 2025

The early detection and prevention method is essential for businesses where data accuracy is vital, including banking, healthcare, and compliance-oriented sectors. Each row provides a brief description of how dbt assists in testing and reporting test results for data transformations and conversions.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Ontotext

MAY 2, 2024

These models are as important to companies as their frontline products and determine how data is managed, consumed, combined, joined, and analyzed. Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52