Remove Artificial Intelligence Remove Blog Remove Data Platform Remove ETL
article thumbnail

Data platform trinity: Competitive or complementary?

IBM Journey to AI blog

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

article thumbnail

Bring your own AI using Amazon SageMaker with Salesforce Data Cloud

AWS Machine Learning Blog

As a result, businesses can accelerate time to market while maintaining data integrity and security, and reduce the operational burden of moving data from one location to another. With Einstein Studio, a gateway to AI tools on the data platform, admins and data scientists can effortlessly create models with a few clicks or using code.

professionals

Sign Up for our Newsletter

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

article thumbnail

Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

article thumbnail

Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

The watsonx platform has three components: watsonx.ai (now available), watsonx.data (now available) and watsonx.governance (expected availability in November). In this blog, I will cover: What is watsonx.ai? The post Exploring the AI and data capabilities of watsonx appeared first on IBM Blog. What is watsonx.data?

article thumbnail

A brief history of Data Engineering: From IDS to Real-Time streaming

Artificial Corner

Cloud-based data storage solutions, such as Amazon S3 (Simple Storage Service) and Google Cloud Storage, provide highly durable and scalable repositories for storing large volumes of data. It’s optimized with performance features like indexing, and customers have seen ETL workloads execute up to 48x faster. Morgan Kaufmann.

article thumbnail

Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Journey to AI blog

It’s often described as a way to simply increase data access, but the transition is about far more than that. When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard.

article thumbnail

Exploring the Power of Data Warehouse Functionality

Pickl AI

But raw data alone isn’t enough to gain valuable insights. This is where data warehouses come in – powerful tools designed to transform raw data into actionable intelligence. This blog delves into the world of data warehouses, exploring their functionality, key features, and the latest innovations.

ETL 52