erwin

JANUARY 9, 2020

Deploying higher quality data sources with the appropriate structural veracity: Automate and enforce data model design tasks to ensure data integrity. From regulatory compliance and business intelligence to target marketing, data modeling maintains an automated connection back to the source.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance. Prerequisites include earning Salesforce Application Architect certification (see above).

Consulting 74

Consulting B2B Cost-Benefit Sales 74

BizAcuity

MAY 24, 2022

IaaS provides a platform for compute, data storage and networking capabilities. IaaS is mainly used for developing softwares (testing and development, batch processing), hosting web applications and data analysis. To try and test the platforms in accordance with data strategy and governance.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

AWS Big Data

FEBRUARY 9, 2023

Integrating third-party SaaS applications is often complicated and requires significant effort and development. Developers need to understand the application APIs, write implementation and test code, and maintain the code for future API changes. Amazon AppFlow , which is a low-code/no-code AWS service, addresses this challenge.

Data Warehouse 76

Data Warehouse Data-driven Snapshot Testing 76

AWS Big Data

NOVEMBER 13, 2023

As Gameskraft’s portfolio of gaming products increased, it led to an approximate five-times growth of dedicated data analytics and data science teams. Consequently, there was a fivefold rise in data integrations and a fivefold increase in ad hoc queries submitted to the Redshift cluster.

Data Warehouse 92

Data Warehouse Data Lake Analytics Data Science 92

AWS Big Data

SEPTEMBER 7, 2023

This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale. We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights.

Metadata 100

Metadata Dashboards Metrics Visualization 100

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Formalize ethics and bias testing.

Insurance 84

Insurance Risk Data-driven Finance 84

AWS Big Data

NOVEMBER 29, 2023

Amazon Redshift Serverless, generally available since 2021, allows you to run and scale analytics without having to provision and manage the data warehouse. Neeraja is a seasoned Product Management and GTM leader, bringing over 20 years of experience in product vision, strategy and leadership roles in data products and platforms.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

IBM Big Data Hub

JUNE 21, 2022

A data fabric orchestrates various data sources across a hybrid and multicloud landscape to provide business-ready data in support of analytics, AI and other applications. How IBM built its own data fabric . When I rejoined IBM in 2016, enterprise-level data and its use was having a pivotal moment.

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

BI-Survey

AUGUST 21, 2020

Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. Many companies are therefore forced to put these concepts to the test. But what are the right measures to make the data warehouse and BI fit for the future? What role do technology and IT infrastructure play?

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

Alation

JANUARY 25, 2022

Gartner is explicit: Data catalogs play a foundational role in the data fabric. And leaders are recognizing the value of a strong data foundation. Indeed, the foundation of your data architecture and strategy – and thus your business strategy – begins with choosing the best data catalog to support your business.

Metadata 52

Metadata IT Metrics Data-driven 52

AWS Big Data

JUNE 10, 2024

Many of the tests to check performance and volumes of data scanned have used Athena because it provides a simple to use, fully serverless, cost effective, interface without the need to setup infrastructure. This approach was deemed efficient and effectively mitigated Amazon S3 throttling problems.

Data Lake 59

Data Lake Metadata Snapshot Analytics 59

AWS Big Data

SEPTEMBER 21, 2023

Satori accelerates implementing data security controls on datawarehouses like Amazon Redshift, is straightforward to integrate, and doesn’t require any changes to your Amazon Redshift data, schema, or how your users interact with data. Then complete the following steps to connect to Amazon Redshift: Log in to Satori.

Data Warehouse 85

Data Warehouse Interactive Data Architecture Data Lake 85

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

Metadata 125

Metadata Cost-Benefit Enterprise Interactive 125

IBM Big Data Hub

JULY 7, 2023

Business analytics: Data and insights help knowledge workers make informed decisions and find new opportunities. While Big Data and artificial intelligence (AI) provide the numbers, knowledge workers are key to understanding them. The aim is to break down silos between departments with better data management and integration.

Cost-Benefit 65

Cost-Benefit Consulting Management Data-driven 65

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.

Testing 130

Testing Data Governance Data Quality Data-driven 130

FineReport

MARCH 31, 2024

Through meticulous testing and research, we’ve curated a list of the ten best BI tools, ensuring accessibility and efficacy for businesses of all sizes. In essence, the core capabilities of the best BI tools revolve around four essential functions: data integration, data transformation, data visualization, and reporting.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

NOVEMBER 14, 2022

Being locked into a data architecture that can’t evolve isn’t acceptable.” Aurora built a cloud testing environment on AWS to better understand the safety of its technology by seeing how it would react to scenarios too dangerous or rare to simulate in the real world.

Analytics 108

Analytics Machine Learning Testing Data Strategy 108

Jet Global

MAY 1, 2023

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Build your first set of reports.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52