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Five Modern Data Architecture Trends

David Menninger's Analyst Perspectives

I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data.

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

CIO Business Intelligence

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.

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

AWS Big Data

Different departments within an organization can place data in a data lake or within their data warehouse depending on the type of data and usage patterns of that department. Nasdaq’s massive data growth meant they needed to evolve their data architecture to keep up.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats. However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes.

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Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries

Cloudera

The report has uncovered customer centricity to be the key priority for both telco and FSI organizations when it comes to using data. Telecom operators can gain a competitive advantage by leveraging the massive volume of data generated on their networks. The telco industry has also increased its spend by 48% on similar initiatives. .

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What Separates Hybrid Cloud and ‘True’ Hybrid Cloud?

Cloudera

To attain that level of data quality, a majority of business and IT leaders have opted to take a hybrid approach to data management, moving data between cloud, on-premises -or a combination of the two – to where they can best use it for analytics or feeding AI models. Data comes in many forms. Let’s dive deeper.

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

AWS Big Data

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.

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