Cloudera + Pinecone = Enterprise AI
Empowering businesses to build high-performing generative AI applications, thus helping deliver accurate and rapid responses at scale.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Analytics
ThoughtSpot Analytics Cloud 9.10 is now available!
ThoughtSpot Analytics Cloud 9.10 is now available!
Assembling a RAG architecture using Fivetran
How to combine your enterprise data with generative AI.
Data Bytes & Insights: Strategies for Modernizing Enterprise Data Architecture
Legacy tools holding you back? Are you ready to transform your enterprise data architecture for enhanced efficiency? In this insightful webinar "Strategies for Modernizing Enterprise-Level Data Architecture," Puneet Gupta, SVP of Product, and Cade Winter, Director of Sales Engineering at Hevo Data, guided us through strategies to drive efficiency, enhance security, and boost agility within organizations.
What's new in 2.6 | Cost Savings and Developer Improvement
Data engineers and analysts need a self-service way to build data movement flows to get critical data to where it needs to be. Cloudera DataFlow enables self-service by introducing fine grained access control with projects. Projects allow users to group flow drafts and deployments and give access to team members as needed.
Top 10 Reasons to Acquire a Product Information Management Solution (PIM or PXM)
Implementing a PIM or PXM* solution will bring numerous benefits to your organization, in terms of improving efficiency, increasing sales and conversions, reducing returns, and promoting customer loyalty through more accurate, more complete, and more engaging product content. Here we explore these benefits in more detail.
What is Data Mapping?
The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.
Server Browser Functionality in Astera Data Stack
In this video, we will be learning about the functionality and features of the Server Browser present within Astera Data Stack.
Decision Workflow Task in Astera Data Stack
In this video, we will learn the functionality and usage of the Decision workflow task within Astera Data Stack. The Decision task allows for conditional branching in workflows, directing the flow based on logical expressions.