In our industry, we often like to use the analogy of building a house when we describe how we build software. In our house-building analogy, this would be the blueprint of the house or the process that we are going to follow to construct a home or software. The analogy continues to be relevant because of all the interdependencies that are at work in terms of understanding the blueprint and translating it into work.
The key differences between Hadoop vs. SQL: Organizations rely on big data to power their business, but many teams struggle with the complexities of data management. Thankfully, Hadoop and SQL handle large data sets more efficiently. These tools manage data in unique ways, which makes it difficult for us to compare them on a like-for-like basis. However, organizations looking to streamline their tech stacks might have reason to choose one over the other. In this article, we compared Hadoop vs.
If there’s one thing enterprises have learned in 2020, it’s how to navigate through uncertain times, and in 2021, organizations will likely have to continue navigating through a shifting landscape. One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders.
Data Scientist Jay Kotecha and Ecommerce Director Ollie Scheers share how they use data to meet Huel’s mission: Make Customers Happy.
Ep. 4: Mike Amundsen, author and speaker Joining us this week we have the well known author and speaker Mike Amundsen. He’s a prolific writer on all things APIs and recently released his latest book entitled Design and Build Great Web APIs: Robust, Reliable, and Resilient. When he’s not writing, Mike helps companies capitalize on opportunities in APIs, Microservices, and Digital Transformation.
Large and small businesses face daily reminders that their data’s security is under attack by digital pirates, hackers, and cybercriminals. These threats require an immediate response, whether it's an unexpected hacking threat or a newly discovered database vulnerability. In this guide, we’ll help you understand these threats and how to prevent them in 2021.
We're living in a data-driven age. In every sector, we've seen new companies emerge, executing lightning-fast strategies based on sophisticated analytics. These data mavericks have disrupted and sometimes even devoured their more traditional rivals. To stay afloat, you need a state-of-the-art data infrastructure. That means having the right platforms, the right data pipelines, and the right analytics engines. But when you have all that data, what do you actually do with it?
COVID-19 has forced virtually every industry to embrace an acceleration in digital capabilities. While it can be argued that digital transformation was already underway; it’s hard to dispute that it has accelerated in recent months. A recent McKinsey survey, cited in CRN, shows that worldwide, 58 percent of customer interactions were digital as of July 2020.
In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 benchmark. Amazon recently announced their latest EMR version 6.1.0 with support for ACID transactions. This benchmark is run on EMR version 6.0 as we couldn’t get queries to run successfully on version 6.1.0.
