It seems like everyday there is a new headline about a security breach in a major company’s web application. These breaches cause companies to lose their credibility, cost them large sums of money, and those accountable undoubtedly lose their jobs. Security requires you to be proactive. Keep your employer out of the headlines by learning some key security best practices.
This hands-on workshop is designed to teach you how to identify and fix vulnerabilities in Java web applications. Using an existing web application, you will learn ways to scan and test for common vulnerabilities such as hijacking, injection, cross-site scripting, cross-site forgery and more. You will learn best practices around logging, error handling, intrusion detection, authentication and authorization. You will also learn how to improve security in your applications using existing libraries, frameworks and techniques to patch and prevent vulnerabilities.
As an industry we are collecting more and more data. At some point we have to be able to make sense of the data. Unfortunately many of the tools we have historically used can not scale up to the terabytes and petabytes we have captured. Hadoop is one of those relatively new technologies that is taking the industry by storm since it has proven to scale by taking advantage of the MapReduce pattern and distributed computing.
During this hands-on tutorial you will provision a Hadoop cluster, write MapReduce jobs and learn how to store and access data via Hadoop Distributed File System (HDFS). You will also learn how cloud providers such as Amazon Web Services’ Elastic MapReduce (EMR) and Microsoft’s Azure HDInsight provide Hadoop as a service.
As an industry we are collecting more and more data. At some point we have to be able to make sense of the data. Unfortunately many of the tools we have historically used can not scale up to the terabytes and petabytes we have captured. Hadoop is one of those relatively new technologies that is taking the industry by storm since it has proven to scale by taking advantage of the MapReduce pattern and distributed computing.
During this hands-on tutorial you will provision a Hadoop cluster, write MapReduce jobs and learn how to store and access data via Hadoop Distributed File System (HDFS). You will also learn how cloud providers such as Amazon Web Services’ Elastic MapReduce (EMR) and Microsoft’s Azure HDInsight provide Hadoop as a service.
Wonder what all the Cloud Computing hype is about? Want to know how to deploy a standard Java web application to the cloud and get limitless scalability? Well, this hands on tutorial will answer all your questions and provide confidence by walking you through the process of deploying a sophisticated Java web application to the Amazon Web Service (AWS) Cloud.
During this tutorial you will provision clustered servers (EC2), relational database (EC2 and EBS), load balancer (Elastic Load Balancing), content delivery (Cloud Front) and how to monitor your whole infrastructure. Other Amazon Web Services will be demonstrated and discussed as appropriate.
Note: An Amazon Web Services Account is a nice to have and will incur a minimal cost during the tutorial but is not a requirement. Access to AWS will be provided to you if you don’t already have access.
Wonder what all the Cloud Computing hype is about? Want to know how to deploy a standard Java web application to the cloud and get limitless scalability? Well, this hands on tutorial will answer all your questions and provide confidence by walking you through the process of deploying a sophisticated Java web application to the Amazon Web Service (AWS) Cloud.
During this tutorial you will provision clustered servers (EC2), relational database (EC2 and EBS), load balancer (Elastic Load Balancing), content delivery (Cloud Front) and how to monitor your whole infrastructure. Other Amazon Web Services will be demonstrated and discussed as appropriate.
Note: An Amazon Web Services Account is a nice to have and will incur a minimal cost during the tutorial but is not a requirement. Access to AWS will be provided to you if you don’t already have access.
Searching is an integral part of many applications today and yet it can still be difficult to integrate search into an application well. Search becomes even more challenging when you consider searching across an enterprise or need to support a large scale.
This presentation will explain how you can simplify searching with the open source enterprise search engine, Apache Solr. By the end of the presentation you will understand the relationship between Apache Lucene and Solr, how to create search documents, populate search documents all using Solr's easy REST-like HTTP/XML and JSON APIs. We will also look at some of the more interesting document mapping strategies and maybe even at some of the geo spacial searching capabilities.
Searching is an integral part of many applications today and yet it can still be difficult to integrate search into an application well. Search becomes even more challenging when you consider searching across an enterprise or need to support a large scale.
This presentation will explain how you can simplify searching with the open source enterprise search engine, Apache Solr. By the end of the presentation you will understand the relationship between Apache Lucene and Solr, how to create search documents, populate search documents all using Solr's easy REST-like HTTP/XML and JSON APIs. We will also look at some of the more interesting document mapping strategies and maybe even at some of the geo spacial searching capabilities.