Analytics

Cloudera's RHEL-volution: Powering the Cloud with Red Hat

As enterprise AI technologies rapidly reshape our digital environment, the foundation of your cloud infrastructure is more critical than ever. That’s why Cloudera and Red Hat, renowned for their open-source solutions, have teamed up to bring Red Hat Enterprise Linux (RHEL) to Cloudera on public cloud as the operating system for all of our public cloud platform images. Let’s dive into what this means and why it’s a game-changer for our customers.

Star Schema Vs. Snowflake Schema: 4 Key Differences

Organizations rely on high-performance data warehouses for storing and analyzing large amounts of data. An important decision in setting up a data warehouse is the choice between Star Schema vs. Snowflake Schema. The star schema simplifies the structure of a database by directly connecting dimension tables to a central fact table. The star shaped design streamlines data retrieval and analysis by consolidating related data points, thereby enhancing the efficiency and clarity of database queries.

Qlik's most underrated capabilities

Qlik is a vital and powerful analytics tool that’s used by companies across every sector, including gaming giant SEGA, and the company continues to improve its offerings, from SaaS to cloud solutions. With an ever-growing collection of capabilities, there are bound to be a few features that even the most expert Qlik users may not utilize. That’s why we’ve put together a list of the most underrated Qlik capabilities that every data master (and junior!) should know.

Introducing Spreadsheet Server's Biznet Conversion Tool

Experience seamless reporting transformation with Spreadsheet Server's Biznet Conversion Tool. In this video, discover how Biznet/XL Connect Customers can effortlessly convert BizSuperfunc formulas into.edq files, ensuring compatibility with Spreadsheet Server's GEXQ formulas. Follow along as we explore each step of the conversion process, from opening workbooks to reviewing detailed results. Say goodbye to compatibility issues and manual updates, and unlock the full potential of your reporting process. Watch now and take your reporting to the next level!

Introducing Angles Professional's Drill Through Feature

This video introduces the new Drill Through feature in Angles Professional, aimed at enhancing user experience and efficiency. Join us as we explore how this feature streamlines data analysis and visualization, empowering users to navigate seamlessly between visuals and gain deeper insights into their data.

Process, Store and Analyze JSON Data with Ultimate Flexibility

Javascript Object Notation (JSON) is becoming the standard log format, with most modern applications and services taking advantage of its flexibility for their logging needs. However, the great flexibility for developers quickly turns into complexity for the DevOps and Data Engineers responsible for ingesting and processing the logs. That’s why we developed JSON FLEX: a scalable analytics solution for complex, nested JSON data.

The Sliding Doors for Managing Data

In this blog series, I am exploring the “sliding doors”, or divergent paths, for creating value with data across different use cases, practices, and strategies. In this post, I want to discuss how to generate value with Data Products. As I reviewed in my last blog, grabbing the door to the better path for managing your data isn’t just about solving your particular use case: it’s ultimately about delivering value for your business.

Snowflake Brings Gen AI to Images, Video and More With Multimodal Language Models from Reka in Snowflake Cortex

Snowflake is committed to helping our customers unlock the power of artificial intelligence (AI) to drive better decisions, improve productivity and reach more customers using all types of data. Large Language Models (LLMs) are a critical component of generative AI applications, and multimodal models are an exciting category that allows users to go beyond text and incorporate images and video into their prompts to get a better understanding of the context and meaning of the data.

Predicting the Generative AI Revolution Requires Learning From Our Past

Having frequently worked with governments around the world over the course of my career, I’ve had all kinds of discussions about the global impact of generative AI. Today, I’m publicly wading into those waters to deliver my perspective, and my opinion is that … it’s incredibly hard to predict the future. Done. Wrapped up this entire post in a single sentence.