Big data technology plays a crucial role in our daily lives, from using search engines like Google to sharing on social media platforms like Facebook, Twitter, and Instagram. It also supports our smartphones, smartwatches, and even automobiles. This technology has become essential for the growth and survival of businesses worldwide. Understanding big data and how to leverage it can give businesses an edge in today's digital landscape.
This course is designed to provide a comprehensive understanding of big data and its applications. It consists of six modules that cover different aspects of big data technology. The course starts by reviewing the global market share rankings for big data software and hardware, giving insights into the industry landscape.
Next, it delves into the top products and services offered by major big data companies. This section provides valuable knowledge about the leading players in the industry and their offerings.
The course then focuses on three widely used big data technologies: Spark, Storm, and Hadoop. These technologies are explained in detail, enabling learners to gain practical knowledge of big data analysis using these tools.
Finally, the course introduces IBM SPSS Statistics, a popular statistical analysis system widely used in big data analytics. This module provides an overview of its functionalities and how it can be leveraged for intelligent data analysis in the context of big data.
Overall, this course aims to equip learners with the necessary skills and knowledge to successfully navigate the big data era. By understanding big data technology and its various applications, businesses can make informed decisions and develop effective strategies for their growth and success in today's competitive landscape.