This book cater to developers using the Elastic stack in their day-to-day work who are familiar with the basics of Elasticsearch, Logstash, and Kibana, and now want to become an expert at using the Elastic stack for data analytics.What You Will LearnBuild a pipeline with help of Logstash and Beats to visualize Elasticsearch data in KibanaUse Beats to ship any type of data to the Elastic stackUnderstand Elasticsearch APIs, modules, and other advanced conceptsExplore Logstash and it's pluginsDiscover how to utilize the new Kibana UI for advanced analyticsSee how to work with the Elastic Stack using other advanced configurationsCustomize the Elastic Stack and plugin development for each of the componentWork with the Elastic Stack in a production environmentExplore the various components of X-Pack in detail.In Detail
Even structured data is useless if it can't help you to take strategic decisions and improve existing system. If you love to play with data, or your job requires you to process custom log formats, design a scalable analysis system, and manage logs to do real-time data analysis, this book is your one-stop solution. By combining the massively popular Elasticsearch, Logstash, Beats, and Kibana, elastic.co has advanced the end-to-end stack that delivers actionable insights in real time from almost any type of structured or unstructured data source. If your job requires you to process custom log formats, design a scalable analysis system, explore a variety of data, and manage logs, this book is your one-stop solution. You will learn how to create real-time dashboards and how to manage the life cycle of logs in detail through real-life scenarios.
This book brushes up your basic knowledge on implementing the Elastic Stack and then dives deeper into complex and advanced implementations of the Elastic Stack. We'll help you to solve data analytics challenges using the Elastic Stack and provide practical steps on centralized logging and real-time analytics with the Elastic Stack in production. You will get to grip with advanced techniques for log analysis and visualization. Newly announced features such as Beats and X-Pack are also covered in detail with examples.
Toward the end, you will see how to use the Elastic stack for real-world case studies and we'll show you some best practices and troubleshooting techniques for the Elastic Stack.Style and approach
This practical guide shows you how to perform advanced analytics with the Elastic stack through real-world use cases. It includes common and some not so common scenarios to use the Elastic stack for data analysis.
Nanomaterials for Wastewater Remediationintroduces techniques for nanoparticle formation and their benefits in environmental cleanup, as well as their recent advances and applications in wastewater treatment. The book follows a sequential approach for the treatment of wastewater, presenting state-of-the-art techniques for the characterization and measurement of nanomaterials.
Nanoparticles represent a promising new technology for wastewater remediation, not only because of their high treatment efficiency, but also for their cost effectiveness, as they have the flexibility for in situ and ex situ applications. New methods for developing nanomaterials with less environmental risk are described. Nanomaterials such as magnetic nanoparticles and graphene-based nanocomposites are discussed in detail. Also includes in-depth analyses of the ecotoxicological impacts of nanomaterials and the latest findings on the transport and fate of nanomaterials in the environment.Covers methods for the characterization of nanomaterials using advanced instrumental techniquesIncludes innovative methods for developing new nanomaterials while lessening their environmental riskProvides the latest methods for determining the transport and fate of nanomaterials in the environmentDiscusses in detail nanomaterials such as magnetic nanoparticles and graphene-based nanocomposites