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Analytics

Expanding Possibilities: Cloudera's Teen Accelerator Program Completes Its Second Year

At Cloudera, we’re known for making innovative technological solutions that drive change and impact the world. Our mission is to make data and analytics easy and accessible to everyone. And that doesn’t end with our customer base. We also aim to provide equitable access to career opportunities within data and analytics to the workforce of tomorrow.

The Hidden Costs of Embedded Analytics: A Pricing Comparison

Embedded analytics solutions have become increasingly popular in recent years, as more organizations across multiple sectors recognize the value of integrating advanced business intelligence (BI) and analytical capabilities into their existing software applications. Such solutions allow for deeper insights from data to make more informed decisions - this is well established.

Snowflake Schemas vs Star Schemas: 5 key differences

In the realm of data warehousing, star and snowflake schemas play crucial roles in organizing vast amounts of data efficiently. Both of these schemas offer unique advantages and cater to distinct requirements in the data processing landscape. Before diving into the details, let’s first provide a snapshot comparison to set the scene: Star schemas are more straightforward, while snowflake schemas are a more normalized version of star schemas.

Snowpark ML: The 'Easy Button' for Open Source LLM Deployment in Snowflake

Companies want to train and use large language models (LLMs) with their own proprietary data. Open source generative models such as Meta’s Llama 2 are pivotal in making that possible. The next hurdle is finding a platform to harness the power of LLMs. Snowflake lets you apply near-magical generative AI transformations to your data all in Python, with the protection of its out-of-the-box governance and security features.

Globe Group Slashes Infra Costs and Fuels Personalized Marketing With Confluent

But their batch-based processing systems and lack of access to self-service data was slowing them down, making it difficult to harness real-time data and create the targeted marketing campaigns they needed to reach their customers..