Search results for ""Author Barr""

Blood, Money, & Power exposes the secret, high-level conspiracy in Texas that led to President John F. Kennedy’s death and the succession of Lyndon B. Johnson as president in 1963. Attorney Barr McClellan, a former member of L.B.J.’s legal team, uses hundreds of newly released documents, including insider interviews, court papers, and the Warren Commission, to illuminate the maneuvers, payoffs, and power plays that revolved around the assassination of Kennedy and to expose L.B.J.’s involvement in the murder plot. In addition to revealing new information, McClellan answers common questions surrounding the assassination of our thirty-fifth president. Who had the opportunity, motive, and means to assassinate J.F.K.? Who controlled the investigation and findings of the Warren Commission? This historically significant book is proof that absolute power, money, blood, corruption, and deception were at the heart of politics in the early 1960s, and it represents the very best investigative journalism has to offer.

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Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to any of the questions above, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck from the data reliability company Monte Carlo explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies. Build more trustworthy and reliable data pipelines Write scripts to make data checks and identify broken pipelines with data observability Program your own data quality monitors from scratch Develop and lead data quality initiatives at your company Generate a dashboard to highlight your company's key data assets Automate data lineage graphs across your data ecosystem Build anomaly detectors for your critical data assets

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