AWS Big Data

NOVEMBER 22, 2024

This enables you to extract insights from your data without the complexity of managing infrastructure. dbt has emerged as a leading framework, allowing data teams to transform and manage data pipelines effectively. With dbt, teams can define data quality checks and access controls as part of their transformation workflow.

Data Lake 103

Data Lake Data Warehouse Cost-Benefit Data Transformation 103

AWS Big Data

SEPTEMBER 11, 2024

This post describes how HPE Aruba automated their Supply Chain management pipeline, and re-architected and deployed their data solution by adopting a modern data architecture on AWS. The data sources include 150+ files including 10-15 mandatory files per region ingested in various formats like xlxs, csv, and dat.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 111

Data Quality Data Governance Data Lake Testing 111

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

MARCH 19, 2025

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. Collaborating with research institutions can improve ESG data methodologies while engaging with regulators ensures compliance with changing disclosure requirements.

IT 59

IT Data Governance Data-driven Metrics 59

DataKitchen

JUNE 12, 2023

Much like the goal of a customer journey, a Data Journey should give you a better understanding of how, when, where, and what data flows through your data analytic systems. Data Journeys track and monitor all levels of the data estate, from data to tools to code to tests across all critical dimensions.

Testing 130

Testing Dashboards Data Lake Data Science 130

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? Data must become a C-level priority.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

AWS Big Data

JUNE 10, 2024

In this post, we delve into the key aspects of using Amazon EMR for modern data management, covering topics such as data governance, data mesh deployment, and streamlined data discovery. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated.

Data Lake 116

Data Lake Metadata Data Warehouse Data Processing 116

CIO Business Intelligence

APRIL 24, 2025

The basis is test, measure, and learn. They participate in the teams and we even have a few train drivers whove become developers, says Caddeo. Were constantly working across borders, and that means its a good product that comes out. But there are times when theres project work, like when a new train is purchased.

IT 71

IT Consulting Optimization IoT 71

IBM Big Data Hub

APRIL 11, 2023

Step two – Impact testing As governments around the world implement regulations regarding the use of AI and automation, organizations should evaluate and revise their processes to address compliance with new regulations.

Strategy 87

Strategy Data Architecture Data-driven Testing 87

AWS Big Data

MARCH 6, 2025

Now you can use these credentials to make requests to the Redshift Data API, and Amazon Redshift will be able to use the identity context for authorization decisions. The application has been tested successfully with versions v3.12.8 About the Authors Songzhi Liu is a Principal Big Data Architect with the AWS Identity Solutions team.

Visualization 102

Visualization Sales Data Warehouse Management 102

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3).

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 76

Data-driven Data Architecture Predictive Modeling Digital Transformation 76

CIO Business Intelligence

JUNE 20, 2022

On the latter, there’s a commitment to give patients access to their latest health information through the app by November and more detailed historical information, such as blood test results, immunisations, and diagnosis, a month later. Data Governance, Government, Government IT, Healthcare Industry

Data Strategy 105

Data Strategy Strategy Digital Transformation Data Architecture 105

CIO Business Intelligence

SEPTEMBER 20, 2023

Lat year was about execution at the corporate level because there were many things we had to test before taking them to various countries. This is a strategy of some complexity, based on three pillars: digitalization, insurance platform as a service, and data. And in what state is the execution of this strategic plan?

Modeling 98

Modeling Insurance IT Cost-Benefit 98

AWS Big Data

JULY 18, 2024

The current method is largely manual, relying on emails and general communication, which not only increases overhead but also varies from one use case to another in terms of data governance. However for testing, you can manually run the crawler by going to the AWS Glue console and selecting Crawlers from the navigation pane.

Data Lake 130

Data Lake Publishing Metadata Data-driven 130

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Cloudera

AUGUST 22, 2024

Established in 2014, this center has become a cornerstone of Cloudera’s global strategy, playing a pivotal role in driving the company’s three growth pillars: accelerating enterprise AI, delivering a truly hybrid platform, and enabling modern data architectures.

Machine Learning 67

Machine Learning Testing Data-driven Enterprise 67

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Data-driven Modeling 59

CIO Business Intelligence

FEBRUARY 28, 2024

And not only do companies have to get all the basics in place to build for analytics and MLOps, but they also need to build new data structures and pipelines specifically for gen AI. You’d design, build, test, and iterate until the software behaved as expected,” he says. “If Prior to gen AI, software was deterministic, he says.

IT 131

IT Consulting Modeling Enterprise 131

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. Db2 pureScale’s shared data cluster scale out allows for independent scale of compute and storage , enabling high performance, low-latency transactions. Data security & governance .

Data Lake 86

Data Lake Data Warehouse Publishing Structured Data 86

AWS Big Data

JUNE 29, 2023

Test the filter by selecting the actual log stream. For testing, use the following pattern and choose Test pattern. We use the following commands to test the solution; however, this is not restricted to these commands only. Provide the filter name as Sensitive Queries demo-cluster-ou1.

Data Warehouse 83

Data Warehouse Dashboards Testing Visualization 83

CIO Business Intelligence

MARCH 28, 2022

During application rollout, Shi avoids a generic project plan in favor of what he calls “a specific macro sequencing plan” of steps built around milestones such as alpha and beta tests and their associated validation milestones.

Enterprise 105

Enterprise Reporting Measurement Cost-Benefit 105

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 87

Consulting B2B Sales Cost-Benefit 87

BI-Survey

JANUARY 15, 2023

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. But is it really?

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Lakehouse provides an open data architecture that reduces data silos and unifies data across Amazon Simple Storage Service (Amazon S3) data lakes, Redshift data warehouses, and third-party and federated data sources. connection testing, metadata retrieval, and data preview.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

Anmut

APRIL 6, 2023

You can think of a data maturity assessment as a health check-up for your organisation’s data practices, just like how a doctor evaluates your physical health by checking your vitals and running tests, a data maturity assessment evaluates your organisation’s data management.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

DataRobot Blog

OCTOBER 3, 2017

Additionally, Alation and Paxata announced the new data exploration capabilities of Paxata in the Alation Data Catalog, where users can find trusted data assets and, with a single click, work with their data in Paxata’s Self-Service Data Prep Application.

Data Lake 52

Data Lake Data Architecture Advertising Insurance 52

erwin

SEPTEMBER 16, 2024

The gold standard in data modeling solutions for more than 30 years continues to evolve with its latest release, highlighted by: PostgreSQL 16.x The gold standard in data modeling solutions for more than 30 years continues to evolve with its latest release, highlighted by: PostgreSQL 16.x

Modeling 52

Modeling Visualization Data Governance Data Architecture 52

Peter James Thomas

OCTOBER 30, 2018

This may purely be focused on cultural aspects of how an organisation records, shares and otherwise uses data. It may be to build a new (or a first) Data Architecture. It may be to remediate issues with an existing Data Architecture. It may be to introduce or expand Data Governance.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

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. A data mesh breaks large enterprise data architectures into subsystems that can be managed by various teams. .

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

TDAN

FEBRUARY 2, 2021

A new approach to wicked problems is taking root: data-sharing partnerships that accelerate the innovation of solutions for shared problems. In this article, we will explore how organizations can […].

Enterprise 52

Enterprise Data-driven Testing Data Architecture 52

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. This post is not intended to provide detailed technical guidance (e.g.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. Conclusion In this post, we showed how you can use Lake Formation tags and manage permissions for your data lake and Amazon Redshift data sharing using Lake Formation.

Data Lake 98

Data Lake Data Warehouse Marketing Management 98

Alation

JANUARY 25, 2022

This is a key component of active data governance. These capabilities are also key for a robust data fabric. Another key nuance of a data fabric is that it captures social metadata. Social metadata captures the associations that people create with the data they produce and consume. The Power of Social Metadata.

Metadata 52

Metadata IT Data-driven Metrics 52

CIO Business Intelligence

APRIL 16, 2025

Software architecture: Designing applications and services that integrate seamlessly with other systems, ensuring they are scalable, maintainable and secure and leveraging the established and emerging patterns, libraries and languages. This requires close attention to the detail, auditing/testing, planning and designing upfront.

Enterprise 124

Enterprise Strategy Risk Business Objectives 124

CIO Business Intelligence

APRIL 23, 2025

Finally, refine and aggregate the clean data into insights that directly support key insurance functions like underwriting, risk analysis and regulatory reporting. Step 3: Data governance Maintain data quality. Enforce strict rules (schemas) to ensure all incoming data fits the expected format. Ensure reliability.

Insurance 109

Insurance Digital Transformation Data Quality Data Lake 109