Cloud Data Warehouse Comparison: Redshift vs. BigQuery vs. Azure vs. Snowflake for Real-Time Workloads

Data helps companies take the guesswork out of decision-making. Teams can use data-driven evidence to decide which products to build, which features to add, and which growth initiatives to pursue. And, such insights-driven businesses grow at an annual rate of over 30%.

But, there’s a difference between being merely data-aware and insights-driven. Discovering insights requires finding a way to analyze data in near real-time, which is where cloud data warehouses play a vital role. As scalable repositories of data, warehouses allow businesses to find insights by storing and analyzing huge amounts of structured and semi-structured data.

3 Pitfalls Everyone Should Avoid With Hybrid Multicloud (Part 4)


The daily cloud hype is all around you, yet there are three pitfalls everyone should avoid.

From cloud, hybrid cloud, to hybrid multi-cloud, you're told this is the way to ensure a digital future for your business. These choices you've got to make don't preclude the daily work of enhancing your customer's experience and agile delivery of those applications.

Distributed Data Querying With Alluxio

This blog is about how I used Alluxio to reduce p99 and p50 query latencies and optimized the overall platform costs for a distributed querying application. I walk through the product and architecture decisions that lead to our final architecture, discuss the tradeoffs, share some statistics on the improvements, and discuss future improvements to the system.

Description

A wireframe of a dashboard with drag and drop functionality.