Systems | Development | Analytics | API | Testing

Analytics

5 Challenges Querying Data in Databricks + How to Overcome Them

Databricks is lighting the way for organizations to thrive in an increasingly AI-driven world. The Databricks Platform is built on lakehouse architecture, empowering organizations to break down existing data silos, store enterprise data in a single centralized repository with unified data governance powered by Unity Catalog, and make the data available to a variety of user groups to support diverse analytics use cases.

Which AI Should I Use? A Guide for Enterprise Decision Makers

Artificial Intelligence (AI) is transforming industries, enhancing decision-making processes, and creating new opportunities across various domains. However, selecting the right type of AI for your specific needs can be challenging. Broadly, AI can be categorized into predictive (sometimes known as discriminative or traditional) AI and generative AI, each serving different purposes.

Snowflake Acquires Night Shift Development, Inc. to Accelerate Growth in US Public Sector

Data is increasingly becoming critical for the public sector — from guiding decisions in higher education to enhancing citizen services and streamlining government operations. Government agencies are overwhelmed with data, whether it be structured, like incident logs, or unstructured, like satellite images. Harnessing the vast amount of data can become a burden for any organization, yet the insights have the potential to significantly improve quality of life and strengthen national security.

Current 2024 Day 2 Keynote - The Rise of Data Streaming Engineers

What does the rise of data streaming mean for software and data professionals? A once-in-a-generation paradigm shift is giving rise to a brand new role: the Data Streaming Engineer. Come hear from your fellow technologists how this new role is bringing together the work of application developers, data engineers, data scientists, and architects, and how it might describe the work you're already doing. Along the way, we'll get a survey of the current state of the technologies underlying the emerging Data Streaming Platform, and how you can prepare to use them in the coming year.

Current 2024 Keynote Day 1 - Data Streaming in the Age of AI

Get ready to dive into the future of data! Jay Kreps and Confluent's top minds are set to reveal the next game-changing evolution of data infrastructure that effectively leverages AI and ubiquitous automation. Discover how leaders in professional services, media, and automotive industries are harnessing the power of Confluent's Data Streaming Platform and Data Products to revolutionize their operations. This is your chance to see how real-time data is driving innovation, transforming decisions, and propelling businesses into the future. The future is here—let's ignite it together!

How to source data from AWS DynamoDB to Confluent using Kinesis Data Streams and Connect

This is a one-minute video showing an animated architectural diagram of an integration between Amazon DynamoDB and Confluent Cloud using Kinesis Data Streams and the Kinesis Data Streams connector. It’s a fully managed and serverless solution that reduces operational complexity and leverages scalability and cost-effectiveness.

What is xP&A: A Look at the Evolution of Financial Planning

Financial planning and analysis (FP&A) is recognized as an essential tool for driving business success. At a time when agility has taken center stage, though, FP&A is giving way to the new discipline of extended planning and analysis (xP&A). Why? Because in an increasingly digital landscape where agility is paramount, actionable real-time feedback is essential.

High Shopping Cart Abandonment Rate: Causes and Potential Solutions [Insights from 65+ Experts]

Shopping cart abandonment is the silent killer of eCommerce profits. Despite businesses investing heavily in customer acquisition and optimizing user experience, cart abandonments are still a major issue. And for every abandoned cart, potential revenue slips through the cracks. But what exactly causes shoppers to abandon their carts? Is it the unexpected shipping costs, a complicated checkout process, or something else entirely?