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Store & Access Information at Scale: How Drawbacks Lead to Innovation

Ever since there was a need to both store and access information, there has been both physical and logical means to achieve it. Everything from stone tablets to paper, to a prolifera of technology in the digital age. As information became easier to create, databases were built to give it structure to simplify its access, accompanied by characteristics to improve performance and scale.

Data Legends Podcast: Musings on Data Lakes, Computer Science, AI & More

When it comes to building new products, there’s a fine line between which pieces of the puzzle should be owned by humans with deep domain knowledge, and which aspects can or should be automated through AI. How far can the boundary be pushed? We speak with Jeremy Foran, Chief Technology Officer at Purple Cow Internet, about his new role as CTO at a fast-growing internet service provider.

Making Sense of Data Quality Amongst Current Seasonality & Uncertainty

When providing the data to support marketing, it's important to frame and validate its quality based on whether it meets "the six C’s." In our conversation with Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai, we discuss questions many in the industry are asking today.

Business Intelligence on the Cloud Data Platform: Approaches to Schemas

The cloud data platform combines data warehouse and data lake capabilities to support the exploding world of analytics. Like a data warehouse, the cloud data platform structures, transforms, and queries data. Like a data lake, it classifies multi-structured data objects in an elastic object store. The cloud data platform provides an ideal launchpad for modern business intelligence (BI) projects that need fast, flexible access to lots of varied data. As you might expect, this is a tall order to fill.

FinTech Companies Thrive and Innovate with ChaosSearch

Welcome to the second installment of our ChaosSearch for FinTech blog series, where we explore how financial technology (FinTech) companies can solve analytics challenges and drive business outcomes with ChaosSearch. In Part One of this series, we brought you an in-depth look at how FinTech companies could accelerate application development and streamline operations in the cloud by adopting ChaosSearch for log analytics at scale.

Updates from Bugfender, Q1 2022

In June, more than 200,000 people will gather at one of the most emblematic festivals in Barcelona: Primavera Sound. In addition to pleasing the visitors (which is easy considering the line-up), the organizers must ensure that the sound levels do not disturb the neighbors in the area, something complicated considering it is an open-air festival. That’s where EmmaDB comes in.

ChaosSearch Named in 2022 Gartner Market Guide for Analytics Query Accelerators

Last week, Gartner released their 2022 Gartner Market Guide for Analytics Query Accelerators (AQAs), which names ChaosSearch as a Representative Vendor. In this week’s blog, we share perspectives from both Gartner and ChaosSearch on the emerging AQA category that focuses on accelerating data lakes’ time to value. You’ll learn what AQAs are, their role in the enterprise tech stack, and how ChaosSearch differentiates itself from others in the segment.

Google Chrome Developer Tools - Part 3

This is the last part of the Google Chrome Developer tools article. In this post we will share show you more of the new Developers Tools that Google has added to Chrome. Remember that Google Chrome Dev Tools is a set of powerful tools that help developers to build better webs. If you haven’t done it yet, you can read the first article of the series and the second one.