|By Business Wire||
|March 20, 2017 08:04 AM EDT|
Talend (NASDAQ:TLND), a global leader in cloud and big data integration solutions, today announced a series of new courses to address the immediate and growing need for big data experts across every industry. The comprehensive program includes practical training covering everything from big data basics through to advanced topics such as Apache Spark streaming that are essential for companies to further their digital transformation and remain competitive in the data-driven economy. Available immediately, the new courses detail how to maximize the value of machine learning and data quality capabilities in the Winter ’17 release of Talend Data Fabric.
“Nurturing a data-driven workforce is critical for an organization’s ability to innovate and stay ahead of rapidly evolving technological and customer demands,” said Carrie Anderson, vice president of enablement at Talend. “In response to the growing IT skills gap, we are working to ensure professionals have the cutting-edge capabilities they need to thrive in today’s big data marketplace. Talend customers give us high satisfaction marks for our big data training, because we provide practice-centered courses on realistic, clustered environments.”
A recent Gartner skills survey found that 59 percent of IT professionals feel their organization is unprepared to handle the demands of digital business over the next two years.1 Between 2015 and 2016, Talend witnessed a 49 percent increase in the number of training course registrants as customers and partners work to scale these vital skills within their workforce. Talend aims to keep pace with market demands and speed time-to-value by offering training that requires fewer prerequisites and is more broadly available to professionals with varying levels of expertise.
Justin Mullen, co-founder and managing director of Datalytyx, a leading provider of big data engineering, data analytics, and cloud solutions, makes Talend training available to his internal team. “The Datalytyx team benefits significantly from Talend’s programs - their various courses provide detailed information on subjects that are critical to empowering IT professionals in a way that is efficient and easy to understand in today’s competitive, data-driven marketplace.”
Talend’s courses allow students to go hands-on in a virtual environment using self-paced materials, or with expert instructors either online or in a classroom, using cloud-based machines to manipulate data and experiment with real-world business scenarios using Apache Spark and multiple elements of the Hadoop ecosystem.
Additional advantages to Talend’s new training include:
- Modular courses that allow students to choose between MapReduce or Spark without forcing them to do both
- A focus on roles vs. products, emphasizing the most significant tasks for each employee
- Abundant practices, providing faster development of necessary industry skills
- A path specifically designed for data analysts as well as developers
Like this story? Tweet this: Want to become a #BigData integration master? @Talend introduces new training courses - http://bit.ly/1NFMQ5l
Talend (NASDAQ:TLND) is a next-generation leader in cloud and big data integration software that helps companies make data a strategic asset that provides real-time, organization-wide insight into customers, partners, and operations. Through its open, adaptive, and unified integration platform, Talend delivers the data agility required for companies to rapidly adopt the latest technology innovations and scale to meet the constantly evolving demands of modern business. A leader in the 2016 Gartner Magic Quadrant for Data Integration Tools and Forrester Wave: Big Data Fabric Q4 2016, Talend’s solutions support over 1500 global enterprise customers including Air France, GE, and Lenovo, across a range of industries. For more information, please visit www.talend.com and follow us on Twitter: @Talend.
1 Source: “Gartner’s Top Skills for IT’s Future: Cloud, Analytics, Mobility and Security” by John Hagerty, June 21, 2016.
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