Big data is in use in every sphere of technology space. From its basic definition to various usage, there are various aspects of Big data and Big data analytics. No matter whether you are an Big data expert, a student or a non technical person but curious to know about Big data, the book has brought up many interesting and trending topics on Big data in simple way. The topics covered in this book are as follows - 1. Characteristics of Big data2. Top 10 Big data trends3.How Big Data Will Improve Customer Service [Updated]4.What is Big data management and its benefits5.What is Streaming Big Data Analytics or Real-time Analytics and its benefits?6.What is Supply Chain analytics?7. Data Strategy or Cloud Strategy- which one is more important?8. The Best Big data analytics tools for Small Business9. Apache Spark 101: What Is It, and Why It Matters10. Top Big data Open source tools 202011. Everything you need to know about Big data as a Service (BDaaS)12. What is Big data analytics Service Oriented Architecture13. Top 5 Challenges and solutions of Real-time data analytics14. How does Transaction data Relate to Big Data analytics?15. Data Analytics vs. Data Science vs. Big Data16. What is Customer analytics and why it matters17. Why is Data Lake a Viable Solution in Big data Space?18. How Big Data Is Affecting Social Media19. What is a Data Lake?20. Factors that will change the Big data Landscape 202021. How Big data and Cloud computing complement each other22. Big data and IoT A Perfect Match23. What is Apache Kafka24. How does Google Cloud Dataproc simplify Big data technology25. Do we really need Hadoop to run Apache Spark?Hope you will find the book interesting and informative.