Summary
In this chapter, we covered some topics that are useful in building Hadoop-based solutions but not directly related to the main theme of this book. We explained that building a Hadoop-based solution involves a team work, where data engineering and data science skills are represented adequately. We covered how cloud-based Hadoop reduces the upfront investment and time-to-market for Hadoop-based solutions. Hadoop as a cloud-based service is available from Amazon and Microsoft. NoSQL databases play an important role in building web and mobile applications. Often, a Hadoop-based data pipeline will have to be integrated with NoSQL databases. Finally, we covered how In-Memory databases are changing the nature of analytics, transaction processing, and stream processing to provide actionable business insights faster.
This book has given you several practical examples of how we can use Hadoop to solve business problems. We covered several commonly used tools from the Hadoop...
