AWS Big Data

MARCH 25, 2024

Change data capture (CDC) events contain information about the source record, updates, and metadata such as time, source, classification (insert, update, or delete), and the initiator of the change. The following diagram illustrates an example workflow for CDC streaming ingestion and processing for unified customer profiles.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis. Analytics dashboards.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Alation

MAY 4, 2023

Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. Data visualization tools can make automatic KPI reporting for your business a whole lot easier! It helps them effectively capture, store, manage, and share data assets.

Visualization 52

Visualization Metadata Data Governance KPI 52

Cloudera

AUGUST 16, 2021

This will create a JSON file containing the flow metadata. KPIs can be defined on the entire data flow to track metrics like how much data the flow is sending to or receiving from external systems, as well as on individual NiFi components such as process groups, processors and connections. and later).

Dashboards 117

Dashboards Metrics KPI Data-driven 117

AWS Big Data

NOVEMBER 16, 2023

Each record in a hub table is married with metadata that identifies the record’s creation time, originating source system, and unique business key. Managed storage means this mapping of row to compute node is more in terms of metadata and compute node ownership rather than the actual persistence.

Enterprise 87

Enterprise Data Warehouse Data Lake Optimization 87

Alation

MAY 4, 2023

Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. Data visualization tools can make automatic KPI reporting for your business a whole lot easier! It helps them effectively capture, store, manage, and share data assets.

Visualization 40

Visualization Metadata Data Governance KPI 40

datapine

MAY 29, 2019

Data cleansing, metadata management, data distribution, storage management, recovery, and backup planning are processes conducted in a data warehouse while BI makes use of tools that focus on statistics, visualization, and data mining. Let’s see this through one of our dashboard examples : the management KPI dashboard.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

Alation

OCTOBER 19, 2022

In awarding Alation the top rank for that KPI, the report declares, “Performance is not an issue for Alation users, so search requests would seem to be as fast as Google.”. A big factor in Innovation is tied to Product Enhancement, another KPI in which Alation has a leading position. BARC notes that Alation’s high 7.1/10

Management 52

Management KPI Data Governance Reporting 52

AWS Big Data

JUNE 15, 2023

Figure 2: Enable a Q topic from a QuickSight analysis Q will scan the underlying metadata in your analysis and automatically select high-value columns based on how they are used in the analysis. To help you start small, Q enables you to create your topic in one click from your existing analysis (Figure 2).

Sales 70

Sales Dashboards Visualization Testing 70

AWS Big Data

JUNE 14, 2023

One of our ProServe teams has 19 dashboards on QuickSight, including Catalog, Trend and Analysis, KPI Monitoring, Business Management, and Quality Control. In 2022, one of the KPI Monitoring dashboards helped save at least 5,600 hours in total across 230 managers and 2,000 consultants.

Dashboards 78

Dashboards KPI Scorecard Metadata 78

AWS Big Data

AUGUST 14, 2023

Acts as steering body for the governance of DPPM as a practice (KPI monitoring, maturity assessments, auditing, and so on). Key deliverables include a registry of demand against new or existing data products, including metadata on source systems, attributes, known use cases, proposed data product owners, and suggested organizational priority.

Management 81

Management Risk Measurement Optimization 81