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Big data gets much attention for the changes that it brings to the field of data analytics. We must also realize that it changes the game for data management practitioners. Data architects, data engineers, and data analysts – nearly anyone who works with data – needs to learn new skills to succeed in the age of big data.
Big data is an important topic for modern analytics, yet it is a complex topic that is continuously evolving. Achieving good return on your big data investment requires strategy that focuses on purpose, people, and process before exploring data and technologies. Strategy drives planning and architecture to ensure that big data complements and does not disrupt the existing BI and analytics environment. There are many technologies to leverage the power of big data, but data and technologies alone don’t create insight and value. The real question is how to engage in the big data journey and develop a viable big data strategy? This requires a roadmap to plan, build, and execute.
With strategy in place the right technologies become the path to value. Data management and business insights both depend on technology. Machine learning and deep learning technology is at the leading edge of big data analytics. Hadoop is the widely accepted open source technology that establishes the baseline for big data management.
The Must-Have Skills for Big Data Practitioners workshop will cover essential techniques and best practices for leveraging the power of big data over three days of in-depth, interactive training.