What You Need to Know About Amazon Web Services (AWS)
In my last post, I covered what Amazon Web Services (AWS) is. In this post, I’ll cover some of the more popular services that provide the majority of the utility and benefits.
Read moreIn my last post, I covered what Amazon Web Services (AWS) is. In this post, I’ll cover some of the more popular services that provide the majority of the utility and benefits.
Read moreAmazon Web Services (AWS) comprises more than 30 services in dozens of data centers located in nine regions around the world. The task of fully comprehending exactly what AWS is and how it can help your business can be daunting, but it doesn’t take long to realize that the depth and breadth of AWS is significant.
Read moreOld school MapReduce (MR) has been in widespread production use for several years now, and it certainly has both raving fans as well as detractors. Two of the most common and valid complaints the critics have is that MR can be both difficult to use (it requires some programming expertise) and that MR jobs take too long to complete. Although solutions like Pig and Hive have long helped make MR more accessible to non-developers, only recently has the community been able to achieve faster run times. With Impala, Cloudera addressed both of these concerns in one product: a simple-to-use engine that sits on top of your existing Hadoop cluster that can now return query results up to 70x faster.
Read moreIn part 1, we discussed the challenge of administering the Hadoop platform for admin newbies. We also reviewed the rationale and advantages of leveraging commercial Hadoop distributions to manage an evolving Hadoop platform. Today, we’ll look at HDFS, MapReduce, and security best practices.
Read moreHadoop is just storage and computing, so administering a Hadoop cluster should be a breeze, right? Well… not necessarily. When we’re talking about Hadoop, we’re talking about a fast-moving open source project that covers many disciplines and requires deep understanding of Linux, Java, and other ecosystem projects with funny names like ZooKeeper, Flume, and Sqoop. Fear not, in these posts, we hope to help you on your journey to becoming a rock star Hadoop administrator.
Read more