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How to Manage Risk with Modern Data Architectures

Cloudera

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

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Modern Data Architecture for Telecommunications

Cloudera

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

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Breaking State and Local Data Silos with Modern Data Architectures

Cloudera

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Towards Data Science ). Solutions that support MDAs are purpose-built for data collection, processing, and sharing.

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Snowpark: Designing for Secure and Performant Processing for Python, Java, and More

Snowflake

To run a diverse set of workloads with minimal operational burden, Snowflake built an intelligent engine that plans and optimizes the execution of concurrent workloads using a multi-clustered, shared data architecture. This blog post will be a close look at key principles we wanted to adhere to and how we made it work.

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Data Engineering Weekly #169

Data Engineering Weekly

Intuit writes about the growing data mesh strategy and the strategic focus area for building data products. Lyft writes about how it enabled continuous learning with technical training, Computer Science courses for Data Science, Seminar, and Brown Bag. LinkedIn writes an exciting blog about what is and is not working.

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Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

Cloudera

The organization designs, develops, and manages IT processes, infrastructures, and applications tailored for banks and insurance companies to build and enhance their digital capabilities. The post Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI appeared first on Cloudera Blog.

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Data Engineering Weekly #152

Data Engineering Weekly

Thoughtworks discusses Anonymesh architecture with case studies on how it is implemented. link] Evidently: ML system design - 300 case studies to learn from An amazing compilation of ML system design articles from various companies. The blog is an excellent comparison study of Ray vs. Dask’s performance.