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Prepforce Overview & Training - Prepare & Load Your File Data To Salesforce

This video goes through the main features and functionality of Prepforce. Prepforce is for when Data Loader and Dataloader.io are not enough but you're not yet ready for a full data integration platform like Integrate.io. Built by the Integrate.io team on top of their Integrate.io platform, leveraging their 10+ years of engineering and Salesforce expertise to deliver a clean and modern UI, cloud-based and scalable platform (that doesn't impact your computer's performance) with 220+ low-code data transformations for cleaning and preparing your data before loading your file data to Salesforce.

Introducing Prepforce - Your Free Tool For Preparing & Loading File Data To Salesforce

Prepforce is for when Data Loader and Dataloader.io are not enough but you're not yet ready for a full data integration platform like Integrate.io. Built by the Integrate.io team on top of their Integrate.io platform, leveraging their 10+ years of engineering and Salesforce expertise to deliver a clean and modern UI, cloud-based and scalable platform (that doesn't impact your computer's performance) with 220+ low-code data transformations for cleaning and preparing your data before loading your file data to Salesforce.

Closing the Healthcare Gap: A Conversation With Rajesh Viswanathan

In this episode of the "Data Cloud Podcast," Todd Crosslin, Global Industry Principal Healthcare and Life Sciences at Snowflake, sits down with Rajesh Viswanathan, CTO at Inovalon. They discuss Rajesh's journey into healthcare, the complexities of the U.S. healthcare system, the role of data and AI in transforming healthcare, and Inovalon's strategies to improve patient outcomes and healthcare economics.

Deploy and Scale AI Applications With Cloudera AI Inference Service

We are thrilled to announce the general availability of the Cloudera AI Inference service, powered by NVIDIA NIM microservices, part of the NVIDIA AI Enterprise platform, to accelerate generative AI deployments for enterprises. This service supports a range of optimized AI models, enabling seamless and scalable AI inference.

Power your augmented analytics with new SpotIQ capabilities

After being recognized by Gartner as the leading generative analytics experience for augmented analytics, ThoughtSpot’s SpotIQ just got an upgrade. As an integral part of ThoughtSpot’s core platform for nearly seven years, SpotIQ has unlocked the value of billions of rows of data for hundreds of customers. Even more inspiring are the customer testimonials highlighting how SpotIQ empowers business users to perform complex analytics and analyze key metrics—even on the go.

Build and Manage ML Features for Production-Grade Pipelines with Snowflake Feature Store

When scaling data science and ML workloads, organizations frequently encounter challenges in building large, robust production ML pipelines. Common issues include redundant efforts between development and production teams, as well as inconsistencies between the features used in training and those in the serving stack, which can lead to decreased performance. Many teams turn to feature stores to create a centralized repository that maintains a consistent and up-to-date set of ML features.

Unleashing the Power of Amazon Redshift Analytics

Table of Contents Amazon Redshift has become one of the most popular data warehousing solutions due to its scalability, speed, and cost-effectiveness. As the data landscape continues to evolve, businesses are generating and data processing increasingly large datasets. Efficient analysis of these datasets is essential to making informed, data-driven decisions. Amazon Redshift allows companies to extract meaningful insights from vast amounts of structured and semi-structured data.

SQL Transformations for Optimized ETL Pipelines

Table of Contents SQL (Structured Query Language) is one of the most commonly used tools for transforming data within ETL (Extract, Transform, Load) processes. SQL transformations are essential for converting raw, extracted data in CSV, JSON, XML or any format into a clean, structured, and meaningful format before loading it into a target database or cloud data warehouse like BigQuery or Snowflake.