Dashboards, Data Integration, Data Warehouse and Metadata

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Data Integration

Data Warehouse

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

MARCH 29, 2024

In Part 2 of this series, we discussed how to enable AWS Glue job observability metrics and integrate them with Grafana for real-time monitoring. Grafana provides powerful customizable dashboards to view pipeline health. QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports.

Metrics

Metrics Visualization Dashboards Interactive

Five benefits of a data catalog

IBM Big Data Hub

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. Technical metadata to describe schemas, indexes and other database objects.

Metadata

Metadata Data Quality Data-driven Data Governance

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Webinars

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

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Trending Sources

The Role Of Data Warehousing In Your Business Intelligence Architecture

datapine

MAY 29, 2019

One of the BI architecture components is data warehousing. Organizing, storing, cleaning, and extraction of the data must be carried by a central repository system, namely data warehouse, that is considered as the fundamental component of business intelligence. What Is Data Warehousing And Business Intelligence?

Business Intelligence

Business Intelligence Data Warehouse Dashboards Visualization

Webinars

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse

Data Warehouse Data Lake Analytics Machine Learning

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing

Testing Data Quality Predictive Modeling Metrics

Unlocking the value of data as your differentiator

AWS Big Data

NOVEMBER 29, 2023

You also need services to store data for analysis and machine learning (ML) like Amazon Simple Storage Service (Amazon S3). Customers have created hundreds of thousands of data lakes on Amazon S3. Amazon DataZone uses ML to automatically add metadata to your data catalog, making all of your data more discoverable.

Data Warehouse

Data Warehouse Data Lake Dashboards Data Integration

The Modern Data Stack Explained: What The Future Holds

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. Data ingestion/integration services. Reverse ETL tools.

Data Warehouse

Data Warehouse Cost-Benefit Data Transformation Data Science

Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Then, you transform this data into a concise format.

Data Strategy

Data Strategy Strategy Data Warehouse Prescriptive Analytics

A hybrid approach in healthcare data warehousing with Amazon Redshift

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model?

Data Warehouse

Data Warehouse Data Lake Cost-Benefit Metadata

SAP Datasphere review: turning data from a technical problem to a business data product.

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface. Why is this interesting?

Metadata

Metadata Data Warehouse Data Integration Business Intelligence

How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. The audience of these few reports was limited—a maximum of 20 people from management.

Data Lake

Data Lake Dashboards Cost-Benefit Metadata

AWS re:Invent 2023 Amazon Redshift Sessions Recap

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Discover how you can use Amazon Redshift to build a data mesh architecture to analyze your data.

Data Warehouse

Data Warehouse Machine Learning Data-driven Data Lake

How Infomedia built a serverless data pipeline with change data capture using AWS Glue and Apache Hudi

AWS Big Data

MARCH 15, 2023

AWS Glue and Apache Hudi overview AWS Glue is a serverless data integration service that makes it easy to prepare and process data at scale from a wide variety of data sources. If you would like to learn more, please visit AWS Glue and AWS Lake Formation to get started on your data integration journey.

Cost-Benefit

Cost-Benefit Data Processing Optimization Data-driven

Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

AUGUST 4, 2023

When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture

Data Architecture Data Lake Machine Learning Data Governance

What is Data Mapping?

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse

Data Warehouse Reporting Data Transformation Sales

What Is Embedded Analytics?

Jet Global

MAY 1, 2023

Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards. As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data.

Analytics

Analytics Cost-Benefit Visualization Dashboards

5 Reasons to Upgrade to Latest Version of Angles for Oracle

Jet Global

JUNE 9, 2022

Seamless Integration with Cloud Data Warehouse Targets. Expect simplified access to high-quality, extensible views of ERP data for reporting and analytics in a cloud-native destination. Expect simplified access to high-quality, extensible views of ERP data for reporting and analytics in a cloud-native destination.

Operational Reporting

Operational Reporting Reporting Data Warehouse Cost-Benefit

Data Leaders Brief

Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

Five benefits of a data catalog

Webinars

Trending Sources

The Role Of Data Warehousing In Your Business Intelligence Architecture

Webinars

Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

Unlocking the value of data as your differentiator

The Modern Data Stack Explained: What The Future Holds

Create an end-to-end data strategy for Customer 360 on AWS

A hybrid approach in healthcare data warehousing with Amazon Redshift

SAP Datasphere review: turning data from a technical problem to a business data product.

How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS re:Invent 2023 Amazon Redshift Sessions Recap

How Infomedia built a serverless data pipeline with change data capture using AWS Glue and Apache Hudi

Data democratization: How data architecture can drive business decisions and AI initiatives

What is Data Mapping?

What Is Embedded Analytics?

5 Reasons to Upgrade to Latest Version of Angles for Oracle

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