Embedded Analytics Vendor Selection Guide
This document is intended to help product leaders cover all the bases during their embedded analytics evaluation and evaluation guidelines are categorized into 6 areas.
Analytics
Data Management Guide Checklists
Go through this data management guide about eight essential checklists for managing the analytic data pipeline to ensure your data is analytics-ready when business users need it.
Use Hadoop in the Analytic Data Pipeline to Transform Business
Big data has the potential to solve big problems and create transformational business benefits. While a whole ecosystem of tools has sprung up around Hadoop to handle and analyze data, many only address part of a larger process.
Making data-intensive processing efficient and portable with Apache Beam
The appearance of Hadoop and its related ecosystem was like a Cambrian explosion of open source tools and frameworks to process big amounts of data. But companies who invested early in big data found some challenges. For example, they needed engineers with expert knowledge not only on distributed systems and data processing but also on Java and the related JVM-based languages and tools.
Countly Compliance Hub
GDPR is becoming the most crucial regulation through EU’s data privacy legislations. It brings data privacy and protection for EU citizens, and all companies worldwide processing EU citizen data is requested to obey the rules it brings. Countly has been in the forefront when it comes to security and privacy focusing product analytics and marketing platform. We give upmost importance to your data, and provide on-prem solutions to make sure data you generate is always yours. This video shows how Countly conforms to GPDR and possibly other regulations in the future (e.g ePrivacy) via its "Compliance Hub" plugin.
Unleashing the Beast
“Be Prepared, because we are about to Unleash the Beast” is how I finished the Qlik Research demo at Qonnections 2018. I refer to Qlik’s new Cognitive Engine, as the “Beast” and here is why...
How to Develop a Data Processing Job Using Apache Beam
Are you familiar with Apache Beam? If not, don’t be ashamed, as one of the latest projects developed by the Apache Software Foundation and first released in June 2016, Apache Beam is still relatively new in the data processing world. As a matter of fact, it wasn’t until recently when I started to work closely with Apache Beam, that I loved to learn and learned to love everything about it.
Apache Spark and Talend: Performance and Tuning
In this blog, we are going to take a look at Apache Spark performance and tuning. This a common discussion among almost everyone that uses Apache Spark, even outside of Talend. When developing and running your first Spark jobs there are always the following questions that come to mind.
Why Paddy Power Betfair Bet on a Cloud Architecture for Big Data
Formed in 2016, Paddy Power Betfair (PPB) is the world’s largest publicly quoted sports betting and gaming company, bringing “excitement to life” for five million customers worldwide. The merger of Paddy Power and Betfair in 2016 created an additional data challenge for an already highly data-driven organization. The merged company had to bring together 70TB of data, from dozens of sources, into an integrated platform.
How to Go Serverless with Talend & AWS Lambda
Recently I found myself in a predicament that many of you can relate to, trying to update an aging application that has become too difficult to manage and too costly to continue operating. As we started to talk about what to do, we concluded it was time to start decomposing that application into smaller more manageable pieces.