Turn the avalanche of raw data from Azure Data Explorer, Azure Monitor, Microsoft Sentinel, and other Microsoft data platforms into actionable intelligence with KQL (Kusto Query Language). Experts in information security and analysis guide you through what it takes to automate your approach to risk assessment and remediation, speeding up detection time while reducing manual work using KQL. This accessible and practical guide—designed for a broad range of people with varying experience in KQL—will quickly make KQL second nature for information security. Solve real problems with Kusto Query Language— and build your competitive advantage: Learn the fundamentals of KQL—what it is and where it is used Examine the anatomy of a KQL query Understand why data summation and aggregation is important See examples of data summation, including count, countif, and dcount Learn the benefits of moving from raw data ingestion to a more automated approach for security operations Unlock how to write efficient and effective queries Work with advanced KQL operators, advanced data strings, and multivalued strings Explore KQL for day-to-day admin tasks, performance, and troubleshooting Use KQL across Azure, including app services and function apps Delve into defending and threat hunting using KQL Recognize indicators of compromise and anomaly detection Learn to access and contribute to hunting queries via GitHub and workbooks via Microsoft Entra ID
Drawing on hundreds of newly available, top-secret KGB and party Central Committee documents, historian Matthew E. Lenoe reexamines the 1934 assassination of Leningrad party chief Sergei Kirov. Joseph Stalin used the killing as the pretext to unleash the Great Terror that decimated the Communist elite in 1937–1938; these previously unavailable documents raise new questions about whether Stalin himself ordered the murder, a subject of speculation since 1938.The book includes translations of 125 documents from the various investigations of the Kirov murder, allowing readers to reach their own conclusions about Stalin’s involvement in the assassination.
The Avengers was a unique, genre-defying television series which blurred the traditional boundaries between 'light entertainment' and disturbing drama. It was a product of the constantly-evolving 1960s yet retains a timeless charm. The creation of The New Avengers, in 1976, saw John Steed re-emerge, alongside two younger co-leads: sophisticated action girl Purdey and Gambit, a 'hard man' with a soft centre. The cultural context had changed - including the technology, music, fashions, cars, fighting styles and television drama itself - but Avengerland was able to re-establish itself. Nazi invaders, a third wave of cybernauts, Hitchcockian killer birds, a sleeping city, giant rat, a deadly health spa, a skyscraper with a destructive mind...The 1970s series is, paradoxically, both new yet also part of the rich, innovative Avengers history. Avengerland Regained draws on the knowledge of a broad range of experts and fans as it explores the final vintage of The Avengers.
The Maya forged one of the greatest societies in the history of the ancient Americas and in all of human history. Long before contact with Europeans, Maya communities built spectacular cities with large, well-fed large populations. They mastered the visual arts, and developed a sophisticated writing system that recorded extraordinary knowledge in calendrics, mathematics, and astronomy. The Maya achieved all this without area-wide centralized control. There was never a single, unified Maya state or empire, but always numerous, evolving ethnic groups speaking dozens of distinct Mayan languages. The people we call "Maya" never thought of themselves as such; yet something definable, unique, and endlessly fascinating - what we call Maya culture - has clearly existed for millennia. So what was their self-identity and how did Maya civilization come to be "invented?" With the Maya historically subdivided and misunderstood in so many ways, the pursuit of what made them "the Maya" is all the more important. In this Very Short Introduction, Restall and Solari explore the themes of Maya identity, city-state political culture, art and architecture, the Maya concept of the cosmos, and the Maya experience of contact with including invasion by outsiders. Despite its brevity, this book is unique for its treatment of all periods of Maya civilization, from its origins to the present.
Vines & Vision: The Winemakers of Santa Barbara County is a first-of-its-kind exploration of the people, places, history, trends, and soul of Santa Barbara County wine country. Featuring nearly 1,000 photographs by renowned visual anthropologist Macduff Everton and about 100 chapters written by the region's leading food & wine journalist Matt Kettmann, Vines & Vision is a one-stop shop for learning about the past, present, and future of Santa Barbara wine culture.
Turn the avalanche of raw data from Azure Data Explorer, Azure Monitor, Microsoft Sentinel, and other Microsoft data platforms into actionable intelligence with KQL (Kusto Query Language). Experts in information security and analysis guide you through what it takes to automate your approach to risk assessment and remediation, speeding up detection time while reducing manual work using KQL. This accessible and practical guide—designed for a broad range of people with varying experience in KQL—will quickly make KQL second nature for information security. Solve real problems with Kusto Query Language— and build your competitive advantage: Learn the fundamentals of KQL—what it is and where it is used Examine the anatomy of a KQL query Understand why data summation and aggregation is important See examples of data summation, including count, countif, and dcount Learn the benefits of moving from raw data ingestion to a more automated approach for security operations Unlock how to write efficient and effective queries Work with advanced KQL operators, advanced data strings, and multivalued strings Explore KQL for day-to-day admin tasks, performance, and troubleshooting Use KQL across Azure, including app services and function apps Delve into defending and threat hunting using KQL Recognize indicators of compromise and anomaly detection Learn to access and contribute to hunting queries via GitHub and workbooks via Microsoft Entra ID
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