Why You Need a Cloud Platform to Succeed with Big Data

Learn how Arrow enables customers to address big business challenges and start the journey to a digital transformation of their business with advanced tools and services. Arrow’s Distribution capabilities now extend to supporting customers with complete Technology Platforms and Solutions. By aggregating electronics and enterprise computing solutions, Arrow is enabling customers from idea creation through the development of the complete technology stack, creating optimized designs capable of scaling for mass production and full deployment. Complex designs are supported by Arrow in-house engineering services and system integration, with the design competence to help customers address big business challenges and create easy to use and easy to deploy solutions.

Use your lunch time to learn, connect & get inspired at digital knowledge sessions. Designed for IT & business leaders that want to build cultures of innovation with Cloud. Modernising your IT infrastructure with Cloud: where do you start? Which migration strategy should you choose to optimise your investment? How do you craft your Cloud foundation?

As networks get smarter, network infrastructure needs to get simpler. Once IoT applications scale up, the number of connected devices will increase exponentially, making infrastructure provisioning increasingly complex.The connected world needs a solution that converges power and data infrastructure to cater to triple-play services and power consumption demands of edge network assets. A smart way to do this is to re-engineer category cable design and technical standards for enhanced business and operational performance.

As the center of gravity of data moves toward the Hadoop ecosystem, data integration professionals are looking for the best options to efficiently move and process big data loads. Spark offers powerful in-memory processing that Developers need for developing ETL applications on large data sets, but the benefits of the platform can be limited by hand-coding inefficiencies. Watch this on demand webinar on “Power Your ETL Processing with Spark” to learn how Hydrograph - the next-generation open source, GUI-based ETL tool - provides an easy-to-use option that: