Screencast on how to connect Amazon S3 with Xplenty.
Welcome to Xplenty's Blog
All things data
Mortal Kombat’s master of ice Sub-Zero and the living-dead fire breathing Scorpion are major archenemies. As the story goes, Sub-Zero and his clan of assassin ninjas slaughtered their rival clan, which Scorpion and his family were members of. Scorpion’s hatred made him rise from the Netherrealm to avenge his family’s death and kill Sub-Zero in the great tournament.
Ken and Ryu are both the best of friends and the greatest of rivals in the Street Fighter game series. When it comes to Hadoop data storage on the cloud though, the rivalry lies between Hadoop Distributed File System (HDFS) and Amazon's Simple Storage Service (S3). Although Apache Hadoop traditionally works with HDFS, it can also use S3 since it meets Hadoop's file system requirements. Netflix utilizes this feature and stores data on S3 rather than HDFS. Why did Netflix choose this data architecture? To understand their motives let's see how HDFS and S3 do in battle!
Data Warehousing projects are challenging. Quite often the sheer amount of business requirements involved, and the data volumes that are attached to it, have made these types of projects notoriously risky and costly. Today, however, most organizations understand that deriving insights from data is essential, and to a certain extent, the majority of them are executing various types of data warehousing projects.