New York Times bestselling author and former Delta Force commander Dalton Fury (Black Site and Kill Bin Laden) is back with an explosive thriller, Tier One Wild. Former disgraced Delta Force commander Kolt "Racer" Raynor has earned his way back into The Unit after redeeming himself during an explosive operation at a black site in Pakistan. But he is about to face his deadliest challenge yet. The most wanted man in the world, American al Qaeda commander Daoud al Amriki, and his handpicked team of terrorist operatives, have acquired stores of Russian-built, shoulder-fired surface-to-air missiles (SAM's) from ex-Libyan spies in Cairo. Their mission: infiltrate the United States and take down American aircraft. The country's best are tasked with stopping them. But when a SEAL Team Six mission to take down al Amriki goes wrong, Major Raynor and his Delta Force team find themselves front and center as Amriki and his terrorists work their way closer to America. And time is running out. Dramatic and revealing, Tier One Wild takes readers on an international thrill ride from the black ops nerve center of JSOC to the bloody streets of Cairo in a story only a former Delta Force commander could tell.

Authorship Attribution surveys the history and present state of the discipline, presenting some comparative results where available. It also provides a theoretical and empirically-tested basis for further work. Many modern techniques are described and evaluated, along with some insights for application for novices and experts alike.

With the surge in big data and AI, organizations can rapidly create data products. However, the effectiveness of their analytics and machine learning models depends on the data's quality. Delta Lake's open source format offers a robust lakehouse framework over platforms like Amazon S3, ADLS, and GCS. This practical book shows data engineers, data scientists, and data analysts how to get Delta Lake and its features up and running. The ultimate goal of building data pipelines and applications is to gain insights from data. You'll understand how your storage solution choice determines the robustness and performance of the data pipeline, from raw data to insights. You'll learn how to: Use modern data management and data engineering techniques Understand how ACID transactions bring reliability to data lakes at scale Run streaming and batch jobs against your data lake concurrently Execute update, delete, and merge commands against your data lake Use time travel to roll back and examine previous data versions Build a streaming data quality pipeline following the medallion architecture