It’s almost time for the big game–the one and only, Super Bowl—and this year promises to be even bigger and better than ever. Super Bowl 50 takes place Feb. 7, 2016, at Levi's Stadium in Santa Clara, California, where 75,000 people are expected to cram in for the game. But even more than that number are expected to be watching from home or elsewhere via broadcast and online.
February is here and it seems that everyone has made their predictions (even me!) for what’s ahead for technology in 2016. As I read through the various predictions lists, I started discovering a common theme: the inclusion of real-time data initiatives as a main priority for IT. Real-time streaming data and analytics is rapidly becoming the lifeblood of today’s data-driven economy. Why? Because your customers live in an age of information immediacy.
The last quarter of 2015 was marked by our 7th annual user conference, Talend Connect. After day one, which focused exclusively on retail partners and integrators, the user conference continued with some 300 participants heeding Talend's call, including customers, sponsors, exhibitors, journalists and analysts, to name a few.
With the rapid changes to SaaS applications and cloud platforms taking place today, the area of cloud integration is now in constant flux. Years ago, cloud integration used to be seen as a tool that accomplished a simple use case, such as replicating SaaS data to an on-premise database for analytics. However, with the innovations taking place in the cloud with regards to analytics, big data, and application development, the very nature of cloud integration is changing.
Hadoop and the broader Big Data ecosystem continue to innovate at an incredible rate. By harnessing the power of the community and creating a survival-of-the-fittest competitive landscape, the open-source development approach helps not only fuel the pace of innovation but also drive buyer confidence and market adoption.
We recently published a benchmark comparing Talend Big Data Platform to Informatica Big Data Edition, showing the performance benefits of our native Apache Spark approach over Informatica’s solution. Informatica responded with a rebuttal that combines some good points along with some claims that are either misleading or completely false.
If you have worked with any type of new software you know those first few moments are always challenging. There’s always that learning curve you have to go through before being able to fully leverage the product’s capabilities.
Therefore we understand it’s equally challenging to learn a new development framework, such as Apache Spark. With Talend 6 however we’ve made it easy for you to convert an existing Map Reduce job to a Talend Spark job.
Guest Blog by Bernard Marr, Founder and CEO of The Advanced Performance Institute
I could start this article by saying that Big Data is taking over the world, spreading into every industry and that if you aren’t “doing it”, you’re going to be a dinosaur destined for extinction. That’s how hundreds of other articles that have been written about Big Data in business over the last few years have started. And many of them are fine articles filled with useful information.
Big Data is undergoing a major change. Have you, like us, been seeing the adoption of Apache Spark as the new engine for Hadoop? Companies are very interested in its blazing fast speed and scalability. Many organizations are looking to use real-time big data to improve customer engagement and generate more business to increase their overall revenue.
Here’s our video that shows how Talend enables you to combine batch and streaming jobs for real-time analytics. It’s one of our how-to video series we are currently posting here, so check back often for new ones.
When was the last time one of your emails bounced back - Perhaps yesterday or maybe even in the last hour? In a world where email has obviously become a crucial communication channel, the lack of email validation and verification in customer email lists can be a major hurdle for your company.
This is why Talend 6 introduces a component for assessing the quality of emails in existing files and databases, and even validating addresses before they are ever entered into the system.
When profiling your data, sometimes you just don’t know which columns you should look into or what you should validate in them. How much would it help if your data profiling software understood your data and helped you select the relevant quality indicators?
This is exactly what the new Talend 6 semantic wizard is designed to do in Talend Studio! You will also be able to use Semantic Discovery to enrich your Ontology repository with semantic categories and analysis results.