Systems | Development | Analytics | API | Testing

When you’re one of many developers commanding streaming applications running in Apache Kafka, you want enough data observability to fly your own data product to the moon. But you also want to boldly go where no developer has gone before to discover new applications. At the same time, you don’t want to be exposed to sensitive data that summons you to your compliance team, crashing you back down to earth.

When COVID hit, multinationals went into a tailspin, scrambling for solutions to pandemic-related problems like suspended flights, social distancing, and stay-at-home orders. How could global brands function when operations are so interconnected? One global sales and marketing brand stayed calm in the crisis, innovating localized strategies that strengthened remote regional teams.

With the steep rise of data, smart businesses have started capitalizing on this new oil to build a new type of products and services: data applications. Admittedly, the engineering and business development of data apps overlaps with their cousins - the trusty desktop app and the well-known web app, … But there is a core difference that sets data applications apart: they are first and foremost about the data they use to deliver value.

Leverage accounting and finance data in your centralized warehouse to refine spend strategy.

We take data integrity seriously so your business doesn’t pay the price.

Can’t choose between Salesforce and HubSpot CRM? In this report, we are comparing the two market leaders side-by-side to help you come to the right decision.

Have you ever looked at clouds with a friend and seen patterns, shapes, and animals that they just can’t make out? The images appear so obviously to you but no matter how hard you try to show them, your friend sees an entirely different shape, or perhaps nothing at all. Building product features can be a similar exercise in frustration. As designers and builders, sometimes we see our own “cloud shapes” in the product.

Since the data lake concept emerged more than a decade ago, data lakes have been pitched as the solution to many of the woes surrounding traditional data management solutions, like databases and data warehouses. Data lakes, we have been told, are more scalable, better able to accommodate widely varying types of data, cheaper to build and so on. Much of that is true, at least theoretically.

Heroku is a powerful PaaS that helps developers easily and quickly launch and scale modern applications. In addition to its base features, it also offers Heroku Elements Marketplace, which has add-ons for expanding the functionality of the base platform. While Heroku has built-in logging for your applications in this platform, you may find that the default interface leaves something to be desired.

In October 2020, Cloudera made a strategic acquisition of a company called Eventador. This was primarily to augment our streaming capabilities within Cloudera DataFlow. Eventador was adept at simplifying the process of building streaming applications. Their flagship product, SQL Stream Builder, made access to real-time data streams easily possible with just SQL (Structured Query Language).