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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

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Ultimate Guide to Citus Con: An Event for Postgres, 2023 edition

The Citus Data

(Americas livestream, keynote, civic data, Datasette, SQLite, Postgres futures) The Distributed PostgreSQL problem & how Citus solves it , by Marco Slot who is the lead architect for the Citus database engine at Microsoft.

Azure 84
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Why generic marketing approaches don’t work on software developers

TechCrunch

I hope the book helps anyone who wants to reach developers directly in an authentic way. If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. Outside content, there’s events (in-person and virtual), advertising, sponsorships, open source and tools.

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AWS Amplify or Kinvey for External Databases, Identity Providers and DevOps

Progress

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 52
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AWS Amplify or Kinvey for External Databases, Identity Providers and DevOps

Progress

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 52
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Natural Language Processing: A Guide to NLP Use Cases, Approaches, and Tools

Altexsoft

Internet search engines are wonderfully helpful when auto-filling our queries, language translation has never been more seamless and correct, and advanced grammar checks save our reputation when we’re sending emails. ML-based spam detection technologies can filter out spam emails from authentic ones with minimum errors. Spam detection.

Tools 139
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.