Fishies, say hello to the new Yellowfin Brand, and Brand Guidelines. Now, we shouldn’t actually say ‘brand new’ because the logo and some of the elements are a progression from what is currently our brand. But, as you have heard us say many times, our brand is not just the logo, fonts and colors. The Yellowfin brand encompasses the reason we do what we do, and it sits behind why we develop the products we develop. It’s why we code what we code.

The ability to discover insights from past events, transactions and interactions is how many customers currently utilize Qlik. Qlik’s unique approach to Business Intelligence (BI) using a unique analytics engine and intuitive interface has democratized BI for typical business users, who usually have little to no technical savvy.

Data transforms businesses. When done right it creates value and allows business leaders to make the most advantageous decisions, in real-time. That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence.

So you want to move data to Amazon Redshift? You're not the only one. Every day, thousands of organizations worldwide migrate data to Redshift, which Amazon claims is the world's fastest cloud data warehouse. These organizations have one mission: To move data to Redshift so they can generate business intelligence (BI) from the latest metrics. Amazon's data warehouse makes it easy to produce metrics that power data-driven organizations like yours.

Advances in the performance and capability of Artificial Intelligence (AI) algorithms has led to a significant increase in adoption in recent years. In a February 2021 report by IDC, they estimate that world-wide revenues from AI will grow by 16.4% in 2021 to USD $327 billion. Furthermore, AI adoption is becoming increasingly widespread and not just concentrated within a small number of organisations.

As data continues to grow at an exponential rate, our customers are increasingly looking to advance and scale operations through digital transformation and the cloud. These modern digital businesses are also dealing with unprecedented rates of data volume, which is exploding from terabytes to petabytes and even exabytes which could prove difficult to manage.

The job of a modern marketer never stops. In today’s always-on, digital world you can spend forever tinkering with taglines and targeting and still never get to the bottom of why some campaigns perform while others don’t. Is your messaging personalized enough? Are you utilizing the right channels? Are you allocating your budget correctly? To dig into these insights you need data.

Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets. The SDX layer of CDP leverages the full spectrum of Atlas to automatically track and control all data assets.

At Singular, we have a pipeline that ingests data about ad views, ad clicks, and app installs from millions of mobile devices worldwide. This huge mass of data is aggregated on an hourly and daily basis. We enrich it with various marketing metrics and offer it to our customers to analyze their campaigns’ performance and see their ROI. The upshot is that we receive tens of thousands of events per second and handle dozens of terabytes of data every day, managing a data set of several petabytes.

The phenomenon of web-based, at-your-door-in-minutes, restaurant food-delivery service is widespread and commonplace nowadays, with various apps and platforms, such as Grubhub or DoorDash, providing diners with an at-home eating experience – look up a restaurant, choose what you want to eat, and your food is on its way. The same can be said about grocery shopping.