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[URL] Big Data Analytics helps organizations to operate using Agile, identify opportunities and respond faster. Use cases show that the data analytics life cycle can enhance customer experience and sales by providing personalized recommendations, detect and prevent cybersecurity threats in real time and enable you to make decisions faster by analyzing real-time information. The role of a Data Engineer is vital to the data outputs for a Data Scientist. A Data Engineer will design, construct, and maintain highly scalable data management systems, data lakes and processing systems, as well as create and maintain optimal data pipeline architecture. The Data Engineer leverages a large toolset including relational and NoSQL databases, Big Data batch processing tools, data pipeline management tools, stream processing systems and several programming languages. Data Engineers are curious by nature, finding new ways to solve difficult problems, and eager to work with cross-functional teams in a dynamic environment. Data Engineers often lead analytical projects into the modelling phases and then into production.  Clearly, the Data Engineer has become a business-critical function as IT transformation accelerates and the pace of Big Data grows exponentially. Explore with our SME, Murthy Adivi, how you can upskill as a Data Engineer and provide trustworthy, integrated and up-to-date data to support your organization’s analytics journey. Immerse yourself in the world of Big Data in this live-chat webinar. Ask questions and get answers from our experts in real time in this informative, interactive and engaging session.
Free Tech Exchange Webinar : Discover Data Engineering