Did you know a comedy released in the year 2000, called "The Specials" had the best rating in the State of California according to film critics? That's what Talend has shown us once we run our final job in the example below. Now, we will be taking you through some of Talend's advanced studio features so you too can start working with your data.
Today we’re excited to announce the launch of our new Talend Big Data Sandbox, based on Docker. For those not familiar with a Sandbox, it’s a FREE, pre-configured, easy-to-use, virtual environment that allows you to experiment and test real-world big data scenarios.
In the coming months and over the next year, several important votes and elections will take place around the world: the presidential elections in the United States this November; the French presidential election in April/May 2017, the French legislative election next June; the German federal election next August, etc.
In today’s fast-paced, global economy, it is generally understood that companies must become data-driven in order to remain competitive. In fact, a report from McKinsey Global Institute indicates companies that are data-driven—meaning those that can gather, process and analyze data in real-time as it flows through the enterprise—make better decisions.
Microservices are both an architecture style and a popular approach for software development to satisfy modern business demands. In the past, the IT industry used monolithic or Service Oriented Architecture (SOA)-based solutions as the standard, but that’s changing now. New tools like Talend Microservices allow developers to focus on specific problems without adding excessive complexity to deployment or other administrative tasks that are usually associated with isolated services.
Amazon Web Services (AWS), Microsoft, and Google, whom Gartner often describes as the “hyperscale vendors”, still dominate the cloud infrastructure market. AWS continues to lead the pack with over 30% worldwide market share, while Microsoft and Google grew more than 100% in Q2 2016, according to a recent report released by Synergy Research Group.
In my previous article, I provided a quick introduction to Apache Beam, a new distributed processing tool that's currently being incubated at the ASF. Apache Beam provides an abstraction layer allowing developers to focus on Beam code, using the Beam programming model. Thanks to Apache Beam, an implementation is agnostic to the runtime technologies being used, meaning you can switch to technologies quickly and easily.
If you’ve ever started working with new software, you know it can be challenging to start taking full advantage of features and functionality right away. At Talend, we want you to get up and running quickly with our data integration software. Therefore, we’ve introduced a new series of videos to get you familiar with the Talend Studio, building your first Talend Job and moving into some advanced features.
Talend Integration Cloud Summer ’16 went live last month and we couldn’t be more proud of our R&D team for pushing through some new and compelling AWS features for the enterprise.
This week, Talend was named by leading analyst firm, Gartner, Inc., as a Leader in its 2016 Magic Quadrant for Data Integration Tools. For those of you who do not know what that is, the Gartner Magic Quadrant (MQ) is one of the most respected and relied upon research report that gauges for the success, capability, and overall strength of both an entire market segment and the players by which it’s comprised.
It’s Not About the Dot: A Journey to Becoming a Leader in the Gartner Magic Quadrant for Data Integration Tools
When we received notice from Gartner that Talend had been named a Leader in its Magic Quadrant for Data Integration Tools, I took a little time to reflect on the process that has taken place over the past couple of years and how we arrived at this milestone.
Today’s CIOs are no strangers to the concept of the Enterprise Data Lake. Oftentimes, an enterprise data lake is viewed as a panacea for all a CIO’s data ills, including being viewed as the ‘holy grail’ for those trying to spur digital transformation. Yet many CIOs are still struggling to see the payoffs from such data lake investments.