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Charles Givre

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Understanding Log Analytics at Scale, 2nd Edition

Using log analytics provides organizations with powerful and necessary capabilities for IT security. By analyzing log data, you can drive critical business outcomes, such as identifying security threats or opportunities to build new products. Log analytics also helps improve business efficiency, application, infrastructure, and uptime. In the second edition of this report, data architects and IT infrastructure leads will learn how to get up to speed on log data, log analytics, and log management. Log data, the list of recorded events from software and hardware, typically includes the IP address, time of event, date of event, and more. You'll explore how proactively planned data storage and delivery extends enterprise IT capabilities critical to security analytics deployments. Explore what log analytics is--and why log data is so vital Learn how log analytics helps organizations achieve better business outcomes Use log analytics to address specific business problems Examine the current state of log analytics, including common issues Make the right storage deployments for log analytics use cases Understand how log analytics will evolve in the future With this in-depth report, you'll be able to identify the points your organization needs to consider to achieve successful business outcomes from your log data.

Learning Apache Drill

Get up to speed with Apache Drill, an extensible distributed SQL query engine that reads massive datasets in many popular file formats such as Parquet, JSON, and CSV. Drill reads data in HDFS or in cloud-native storage such as S3 and works with Hive metastores along with distributed databases such as HBase, MongoDB, and relational databases. Drill works everywhere: on your laptop or in your largest cluster. In this practical book, Drill committers Charles Givre and Paul Rogers show analysts and data scientists how to query and analyze raw data using this powerful tool. Data scientists today spend about 80% of their time just gathering and cleaning data. With this book, you’ll learn how Drill helps you analyze data more effectively to drive down time to insight. Use Drill to clean, prepare, and summarize delimited data for further analysis Query file types including logfiles, Parquet, JSON, and other complex formats Query Hadoop, relational databases, MongoDB, and Kafka with standard SQL Connect to Drill programmatically using a variety of languages Use Drill even with challenging or ambiguous file formats Perform sophisticated analysis by extending Drill’s functionality with user-defined functions Facilitate data analysis for network security, image metadata, and machine learning