2022, Data Architecture, Data Governance and Data Warehouse

AWS Lake Formation 2022 year in review

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake

Data Lake Data Governance Data Architecture Data Warehouse

What is a data architect? Skills, salaries, and how to become a data framework master

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

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5 Data Governance Mistakes to Avoid

Alation

APRIL 25, 2023

Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029. And the rise in data valuation has been compared to that of oil during the 19th century. The comparison makes sense because, like petroleum, data has enormous potential. 5 common data governance mistakes 1.

Data Governance

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5 Data Governance Mistakes to Avoid

Alation

APRIL 25, 2023

Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029. And the rise in data valuation has been compared to that of oil during the 19th century. The comparison makes sense because, like petroleum, data has enormous potential. 5 common data governance mistakes 1.

Data Governance

Data Governance Marketing Machine Learning Sales

Peloton embraces Amazon Redshift to unlock the power of data during changing times

AWS Big Data

MAY 17, 2023

million at the end of 2022. As Peloton’s business continued to evolve amid a changing macroeconomic environment, it was essential that it could make smart business decisions quickly, and one of the best ways to do that was to harness insights from the huge amount of data that it had been gathering over recent years.

Data Warehouse

Data Warehouse Cost-Benefit Sales Data-driven

Demystifying Modern Data Platforms

Cloudera

SEPTEMBER 15, 2022

July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. A key area of focus for the symposium this year was the design and deployment of modern data platforms. What is a data fabric?

Data Lake

Data Lake Data Architecture Data-driven Data Warehouse

Why Invest Now? Three Investors Share the Story Behind Alation’s Series E

Alation

NOVEMBER 2, 2022

And that’s even in the midst of 2022, which has been a tumultuous year from a macro perspective. We had not seen that in the broader intelligence & data governance market.”. The lakehouse] helps businesses really harness the power of data and analytics and AI. That was very unique. But why invest now?

Data Governance

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The hidden history of Db2

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. When we look ahead, that same architectural foundation we have spent decades perfecting and innovating is also bringing Db2 into future. Nedbank builds a scalable data warehouse architecture .

Data Lake

Data Lake Data Warehouse Publishing Structured Data

Get maximum value out of your cloud data warehouse with Amazon Redshift

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse

Data Warehouse Data Lake Unstructured Data Optimization

Augmented data management: Data fabric versus data mesh

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management

Management Metadata Data Architecture Data Lake

Implement tag-based access control for your data lake and Amazon Redshift data sharing with AWS Lake Formation

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. We recently announced the integration of Amazon Redshift data sharing with AWS Lake Formation. S3 data lake – Contains the web activity and leads datasets.

Data Lake

Data Lake Data Warehouse Marketing Management

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

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.

Data Strategy

Data Strategy Strategy Data Warehouse Prescriptive Analytics

Has the Data Warehouse Had Its Day?

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.

Data Warehouse

Data Warehouse IT Data Architecture Measurement

Choosing an open table format for your transactional data lake on AWS

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.

Data Lake

Data Lake Metadata Optimization Statistics

How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake

Data Lake Data Warehouse Data-driven B2B

Data Leaders Brief

AWS Lake Formation 2022 year in review

What is a data architect? Skills, salaries, and how to become a data framework master

Webinars

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5 Data Governance Mistakes to Avoid

Webinars

5 Data Governance Mistakes to Avoid

Peloton embraces Amazon Redshift to unlock the power of data during changing times

Demystifying Modern Data Platforms

Why Invest Now? Three Investors Share the Story Behind Alation’s Series E

The hidden history of Db2

Get maximum value out of your cloud data warehouse with Amazon Redshift

Augmented data management: Data fabric versus data mesh

Implement tag-based access control for your data lake and Amazon Redshift data sharing with AWS Lake Formation

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

Has the Data Warehouse Had Its Day?

Choosing an open table format for your transactional data lake on AWS

How smava makes loans transparent and affordable using Amazon Redshift Serverless

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