article thumbnail

Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 1: The Set-Up & Basics

Cloudera

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. Introduction.

article thumbnail

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

AWS Machine Learning - AI

Lastly, we connect these together with an example LLM workload to describe an approach towards architecting with defense-in-depth security across trust boundaries. We then discuss how building on a secure foundation is essential for generative AI.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. One other example highlights this trend.

Data 97
article thumbnail

160+ live online training courses opened for May and June

O'Reilly Media - Ideas

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Software Architecture by Example , June 18.

Course 46
article thumbnail

Security, Usability & Cloud Data Services in Finance

OpenCredo

Cloud tools like AWS CloudWatch provide the opportunity to execute business logic (in the form of Lambda functions) whenever an event happens within the infrastructure. Data Engineering. Data engineering involves getting the right data, to the right place, at the right time and in the right format.

Cloud 40
article thumbnail

Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. . Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT.

Azure 52
article thumbnail

New live online training courses

O'Reilly Media - Ideas

Learning Python 3 by Example , July 1. Practical Linux Command Line for Data Engineers and Analysts , July 22. Software Architecture by Example , July 24. Systems Design for Site Reliability Engineers , August 7. Designing Serverless Architecture with AWS Lambda , August 7-8. Practical Docker , August 14.

Course 66