Charles Givre – författare

Discover how to apply contemporary data science and machine learning to cybersecurity In Applied Data Science for Cybersecurity, experienced data science and cybersecurity professional Charles Givre delivers an incisive and technically sound exploration of how to use the latest advances in data science, machine learning, and artificial intelligence to improve your firm's cybersecurity. The author explains what data science and machine learning are before moving on to how to get and prepare data for visualization and processing, how to build and tune machine learning models, and, finally, how to apply all this knowledge to the world of cybersecurity. In the book, you'll discover: How to prepare cybersecurity data for machine learningHow to build machine learning models for cybersecurity applicationsHow to understand deep learning and its application to cybersecurityHow to use the latest artificial intelligence for cybersecurity applicationsHow to attack AI and machine learning models.A must-read for cybersecurity professionals who aim to improve their understanding of machine learning and data science, Applied Data Science for Cybersecurity is also a valuable addition to the library of any information security practitioner with an interest in modern data science and its applications to cybersecurity.

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 analysisQuery file types including logfiles, Parquet, JSON, and other complex formatsQuery Hadoop, relational databases, MongoDB, and Kafka with standard SQLConnect to Drill programmatically using a variety of languagesUse Drill even with challenging or ambiguous file formatsPerform sophisticated analysis by extending Drill’s functionality with user-defined functionsFacilitate data analysis for network security, image metadata, and machine learning

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 analysisQuery file types including logfiles, Parquet, JSON, and other complex formatsQuery Hadoop, relational databases, MongoDB, and Kafka with standard SQLConnect to Drill programmatically using a variety of languagesUse Drill even with challenging or ambiguous file formatsPerform sophisticated analysis by extending Drill’s functionality with user-defined functionsFacilitate data analysis for network security, image metadata, and machine learning