Leaders and Innovators

Chapter 6Final Thoughts and Conclusion

Up to now, you have read and learned what some of the latest technologies can do in the area of data management and analytics. In-database processing can be applied throughout the analytical data life cycle to explore, prepare the data and develop, and deploy the analytical data model in a streamlined process. In-memory capabilities can be applied at the data exploration and model development stages to analyze massive amounts of data quickly and efficiently. These technologies are complementary and can be augmented with the traditional process to optimize the data management and analytics processes. Organizations with Hadoop are integrating with their data warehouse and/or data mart and leveraging in-database and in-memory processing to analyze big data in collaborative data architecture. Organizations are adopting and implementing these innovative technologies together to enable data-driven information for effective analytical-driven decisions. Various customers in banking, e-commerce, government, retail, telecommunication, transportation, and others have provided their insights on the IT and business benefits gained by solving complex problems with in-database, in-memory, and/or Hadoop.

So, what's next in the horizon for data management and analytics? What are some key focus areas in the next five years that will take data management and analytics to the next level? What industries are leaping into the next generation of data management ...