Today’s globalized organizations demand a new standard for communicating and sharing information. That includes data-rich content that moves through environments, networks, and locales. From being stored, analyzed, and shared, to quickly and effectively moving between environments, to spinning up in clusters and informing endless applications—data is more critical than ever.
This blog post is part of a series on Cloudera’s Operational Database (OpDB) in CDP. Each post goes into more details about new features and capabilities. Start from the beginning of the series with, Operational Database in CDP. This blog post gives you an overview of the languages, frameworks, and applications supported by Cloudera’s OpDB.
Data accessibility and analysis is a crucial part of getting value from your data. While there are many methods to view data when it comes to BigQuery, one common way is to export query results as an email on a scheduled basis. This lets end users get an email with a link to the most recent query results, and is a good solution for anyone looking for daily statistics on business processes, monthly summaries of website metrics, or weekly business reviews.
Manufacturing has historically been laggards in its adoption of emerging technologies as business processes, from the production line to back-office operations, have inherently been tied to legacy applications. But that is rapidly changing. Faced with competitive pressures, and driven by technological enhancements across broad sectors of the economy, today’s manufacturing leaders are seeking new ways to improve productivity, reduce downtime, and streamline operations and the supply chain.
Running software uses computer memory for data structures and executable operations. How this memory is accessed and managed depends on the operating system and the programming language. Many modern programming languages manage memory for you, and Ruby is no different. Ruby manages memory usage using a garbage collector (also called gc). In this post, we’ll examine what you, a Ruby developer, need to know about Ruby’s gc. Use the links below to skip ahead in the tutorial.
As the world is adapting to new and unforeseen circumstances, many of the traditional ways of doing things are no longer. One significant effect of this is that the world has gone almost completely virtual. Whether it’s Zoom happy hours and family catch ups or virtual conferences, what used to be in-person has digitized.
Apache YuniKorn (Incubating) is a standalone resource scheduler that aims to bring advanced scheduling capabilities for Big Data workloads onto containerized platforms. Please read YuniKorn: a universal resources scheduler to learn about the rationale and architecture. Since the time of our last post, we are delighted to update that YuniKorn was accepted by the Apache incubator in Jan 2020!
It was three years ago, just after the Gartner Magic Quadrant (MQ) came out, that everything in customer success changed at Yellowfin. We had made it into the MQ again but we weren’t positioned where we believed we should be. We were a product-driven company that had been first to market for many of the functionalities that have since become expected in what BI vendors offer today.
While digging through data, Anna spots an interesting trend - some customers buy 3 times more than others. A segment of super-high spenders? This could make it rain for the company! She rushes to her boss, to show them the data, only to hear: “Yeah, I know. We have a bug, which inserts every order three times in the database. Were you not paying attention during our daily meeting?” Aw-kward.
