Remove AWS Remove Data Engineering Remove Data Preparation Remove SQL
article thumbnail

Migrating From AWS Redshift to Snowflake: 2 Methods to Explore

phData

Welcome to our AWS Redshift to the Snowflake Data Cloud migration blog! In this blog, we’ll walk you through the process of migrating your data from AWS Redshift to the Snowflake Data Cloud. As an experienced data engineering consulting company, phData has helped with numerous migrations to Snowflake.

AWS 59
article thumbnail

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

AWS Machine Learning Blog

We also discuss common security concerns that can undermine trust in AI, as identified by the Open Worldwide Application Security Project (OWASP) Top 10 for LLM Applications , and show ways you can use AWS to increase your security posture and confidence while innovating with generative AI.

AWS 125
professionals

Sign Up for our Newsletter

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

article thumbnail

Tackling AI’s data challenges with IBM databases on AWS

IBM Journey to AI blog

The solution: IBM databases on AWS To solve for these challenges, IBM’s portfolio of SaaS database solutions on Amazon Web Services (AWS), enables enterprises to scale applications, analytics and AI across the hybrid cloud landscape. Let’s delve into the database portfolio from IBM available on AWS. 

AWS 76
article thumbnail

Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

Data, Engineering, and Programming Skills Programming Despite the rise of no-code platforms and AI code assistance, programming skills are still essential for training and fine-tuning LLM models, scripting for data processing, and integrating models into applications. Kubernetes: A long-established tool for containerized apps.

article thumbnail

Harnessing Machine Learning on Big Data with PySpark on AWS

ODSC - Open Data Science

Be sure to check out his talk, “ Build Classification and Regression Models with Spark on AWS ,” there! In the unceasingly dynamic arena of data science, discerning and applying the right instruments can significantly shape the outcomes of your machine learning initiatives. A cordial greeting to all data science enthusiasts!

article thumbnail

Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning

AWS Machine Learning Blog

This is where the AWS suite of low-code and no-code ML services becomes an essential tool. As a strategic systems integrator with deep ML experience, Deloitte utilizes the no-code and low-code ML tools from AWS to efficiently build and deploy ML models for Deloitte’s clients and for internal assets.

article thumbnail

Accelerate time to insight with Amazon SageMaker Data Wrangler and the power of Apache Hive

AWS Machine Learning Blog

Starting today, you can connect to Amazon EMR Hive as a big data query engine to bring in large datasets for ML. Aggregating and preparing large amounts of data is a critical part of ML workflow. Solution overview With SageMaker Studio setups, data professionals can quickly identify and connect to existing EMR clusters.