CV_Jan_22

By David Wang Data’s Developers The rise of a new analytics hero in 2022 Every year industry pundits predict data and analytics becoming more valuable. This doesn’t exactly take a crystal ball to predict. But there’s something more interesting happening that’s going to change everything in the analytics world: the rise of a new hero, the software developer. If the past is any indication of the future, then what we are seeing is a major transformation unfolding across every industry – a changing of the guard, so to speak, of the ones who are creating value from data. Today, the industry equates analytics with data warehousing and business intelligence. It’s a traditional approach for BI experts to query historical data “once in a while” for the executive dashboards and reports that have been around for decades. But for bleeding-edge companies including Netflix, Target and Salesforce, the use of analytics is more progressive, more impactful and in real-time. Companies such as these see the true game-changer of data being in the hands of their software developers. Their developers are building modern analytics applications and doing it with Apache Druid to deliver interactive data experiences for investigative, operational and customerfacing insights. But what’s causing the emergence of these apps, and what does it mean for developers? Let’s break down the top five reasons. Number one, the need for interactive analytics at scale is taking off. Increasingly, analytics are needed to understand a situation or investigate a problem. This requires the freedom to slice and dice and interact with data live with sub-second query response at any scale. It’s a dynamic user experience that can be best created via a developer-built application. No one wants to sit around waiting for a query to process. And while many databases will claim the checkbox for interactivity and speed, they’ll come with lots of scale constraints. They’ll rely on tricks such as roll ups, aggregations or recent data to make queries appear faster, but that restricts the insights one can get. So, the operative word here is “scale.” Number two, high concurrency is becoming a must-have for every use case. The days of relying on a few BI analysts to write SQL queries are in the rear-view mirror. Data-driven companies want to provide everyone free access to explore. And multi-tenancy takes user count even further. But concurrency doesn’t come from the numbers of users. Developers are being asked to build analytics apps with dozens of visualizations, with each firing off several concurrent SQL queries. I’ll admit it’ll be hard to find a modern database today that doesn’t claim EMERGENT 8 CHANNELV ISION | JANUARY - FEBRUARY 2022

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