Tag Archives: outright

Sabotage: America’s Enemies Within the CIA

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Sabotage: America's Enemies Within the CIA By Rowan Scarborough
2007 | 229 Pages | ISBN: 1596985100 | PDF | 3 MB

Sabotage: America’s Enemies Within the CIA
How Bush-hating CIA Bureaucrats Are Sabotaging the War on Terror Since the attacks on September 11, 2001, intelligence collection has become the number-one weapon in the effort to defeat al Qaeda and Osama bin Laden. A Description penetrated is an attack stopped. And to the outside observer, the CIA has performed well as a key partner in the Bush administration's War on Terror. But as Rowan Scarborough reveals in this groundbreaking new book, significant elements within the CIA are undermining both the president and national security through leaks, false allegations, and outright sabotage. Using his first-rate sources in all levels of national security–from field officers to high-ranking analysts to former intelligence heads–Scarborough paints a disturbing picture of partisan politics endangering the success of our campaigns abroad and the very lives of our soldiers and agents. In Sabotage, you'll learn: * How CIA analysts repeatedly leak details about classified intelligence programs with the dual intent of ending them and damaging the president * How, on at least eight occasions, intelligence officials have made serious allegations of wrongdoing against the president's men–which turned out to be false * Why, contrary to popular belief, the CIA has become predominantly liberal * How a CIA turf battle prevented special operators from pursuing and capturing a notorious Taliban leader * How current and former CIA officers fueled conspiracy theories that President Bush orchestrated the 9/11 attacks on America * How a CIA leak to the New York Times deprived the U.S. of critical information in the War on Terror * How press leaks by the CIA have damaged relations with our foreign allies in the War on Terror * How a CIA analyst worked with Democrats to sabotage the nomination of John Bolton to the UN * How Clinton's downsizing of the CIA led to the closing of stations in scores of jihadist breeding grounds–including Hamburg, Germany, where the 9/11 Description was hatched The CIA's job is to collect facts and let the White House, the Pentagon, and the State Department make national security policy. But, as Scarborough conclusively demonstrates, an agency that is supposed to be scrupulously nonpartisan has become increasingly political–during a time of war–against America's elected commander in chief.
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The Obama Hate Machine: The Lies, Distortions, and Personal Attacks on the President

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Bill Press, "The Obama Hate Machine: The Lies, Distortions, and Personal Attacks on the President—and Who Is Behind Them"
English | ISBN: 0312641648 | 2012 | EPUB/MOBI | 320 pages | 1 MB

The Obama Hate Machine: The Lies, Distortions, and Personal Attacks on the President
In Toxic Talk, Bill Press exposed the ways in which the extreme right-wing media has done an end run around the American voting populace by exerting a disproportionate control over open political debate. In The Obama Hate Machine, Press returns to show how the Right has taken rhetoric to slanderous new levels in attacking the nation's forty-fourth president.

But presidents have always been attacked like this, right? Wrong. As the author shows, while presidents and presidential candidates routinely have been subject to personal attacks, the outright disdain Obama's extremist opponents have for the facts has inspired an insidious brand of character assassination unique in contemporary politics.

Obama was born in Kenya . . . Obama sympathizes with Muslim terrorists . . . Obama is a communist who wants to institute death panels and touch off class warfareThe extent to which these unfounded assertions have taken hold in the American mindset shows just how ruthless, destructive, and all-powerful the right-wing machine-hijacked by extremists in the media and fueled by corporate coffers-has become. The author reveals how corporate interests such as the infamous Koch Brothers continue to steer political coverage away from fact-based dialogue into the realm of hysteria. Bill Press also observes this phenomenon is not limited to the airwaves and provides an "I Hate Obama Book Club" list, calling out the scores of anti-Obama tomes-and even some from the Left-that have helped drag politics even deeper into the mud.

In his characteristic on-the-mark arguments sure to appeal to anyone on the Left or in the Center, Press shows how the peculiar nature of Obama-hating subverts issue-driven debate and threatens not only the outcome of the 2012 election but the future of the American democratic system.
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Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset (PDF)

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Michael Frampton, "Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset"
English | ISBN: 1484200950, 1484200969 | 2015 | 392 pages | PDF | 15 MB
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.
As Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset shows, Apache Hadoop offers a scalable, fault-tolerant system for storing and processing data in parallel. It has a very rich toolset that allows for storage (Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm, Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa, Ambari, and Hue), testing (Big Top), and analysis (Hive).

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset (PDF)
The problem is that the Internet offers IT pros wading into big data many versions of the truth and some outright falsehoods born of ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of instructions to explain where to get Hadoop tools, what they can do, how to install them, how to configure them, how to integrate them, and how to use them successfully. And you need an expert who has worked in this area for a decade-someone just like author and big data expert Mike Frampton.

Big Data Made Easy approaches the problem of managing massive data sets from a systems perspective, and it explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an easily understood manner and through numerous examples, how to use each tool. The book also explains the sliding scale of tools available depending upon data size and when and how to use them. Big Data Made Easy shows developers and architects, as well as testers and project managers, how to:
Store big data
Configure big data
Process big data
Schedule processes
Move data among SQL and NoSQL systems
Monitor data
Perform big data analytics
Report on big data processes and projects
Test big data systems

Big Data Made Easy also explains the best part, which is that this toolset is free. Anyone can download it and-with the help of this book-start to use it within a day. With the skills this book will teach you under your belt, you will add value to your company or client immediately, not to mention your career.

What you'll learn
How to install and employ Hadoop

How to install and use Hadoop-related tools like Hive, Storm, Pig, Solr, Oozie, Ambari, and many others
How to set up and test a big data system
How to scale the system for the amount of data at hand and the data you expect to accumulate
How those who have spent their careers in the SQL database world can apply their skills to building big data systems
Who this book is for

This book is for developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for a general IT audience, anyone interested in Hadoop or big data, and those experiencing problems with data size. It's also for anyone who would like to further their career in this area by adding big data skills.
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Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset (PDF)

FREEDownload : Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset (PDF)

Michael Frampton, "Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset"
English | ISBN: 1484200950, 1484200969 | 2015 | 392 pages | PDF | 15 MB
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.
As Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset shows, Apache Hadoop offers a scalable, fault-tolerant system for storing and processing data in parallel. It has a very rich toolset that allows for storage (Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm, Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa, Ambari, and Hue), testing (Big Top), and analysis (Hive).

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset (PDF)
The problem is that the Internet offers IT pros wading into big data many versions of the truth and some outright falsehoods born of ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of instructions to explain where to get Hadoop tools, what they can do, how to install them, how to configure them, how to integrate them, and how to use them successfully. And you need an expert who has worked in this area for a decade-someone just like author and big data expert Mike Frampton.

Big Data Made Easy approaches the problem of managing massive data sets from a systems perspective, and it explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an easily understood manner and through numerous examples, how to use each tool. The book also explains the sliding scale of tools available depending upon data size and when and how to use them. Big Data Made Easy shows developers and architects, as well as testers and project managers, how to:
Store big data
Configure big data
Process big data
Schedule processes
Move data among SQL and NoSQL systems
Monitor data
Perform big data analytics
Report on big data processes and projects
Test big data systems

Big Data Made Easy also explains the best part, which is that this toolset is free. Anyone can download it and-with the help of this book-start to use it within a day. With the skills this book will teach you under your belt, you will add value to your company or client immediately, not to mention your career.

What you'll learn
How to install and employ Hadoop

How to install and use Hadoop-related tools like Hive, Storm, Pig, Solr, Oozie, Ambari, and many others
How to set up and test a big data system
How to scale the system for the amount of data at hand and the data you expect to accumulate
How those who have spent their careers in the SQL database world can apply their skills to building big data systems
Who this book is for

This book is for developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for a general IT audience, anyone interested in Hadoop or big data, and those experiencing problems with data size. It's also for anyone who would like to further their career in this area by adding big data skills.
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Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

FREEDownload : Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

Michael Frampton, "Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset"
English | ISBN: 1484200950, 1484200969 | 2015 | 392 pages | PDF | 15 MB

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.

As shows, Apache Hadoop offers a scalable, fault-tolerant system for storing and processing data in parallel. It has a very rich toolset that allows for storage (Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm, Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa, Ambari, and Hue), testing (Big Top), and analysis (Hive).

The problem is that the Internet offers IT pros wading into big data many versions of the truth and some outright falsehoods born of ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of instructions to explain where to get Hadoop tools, what they can do, how to install them, how to configure them, how to integrate them, and how to use them successfully. And you need an expert who has worked in this area for a decade-someone just like author and big data expert Mike Frampton.

Big Data Made Easy approaches the problem of managing massive data sets from a systems perspective, and it explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an easily understood manner and through numerous examples, how to use each tool. The book also explains the sliding scale of tools available depending upon data size and when and how to use them. Big Data Made Easy shows developers and architects, as well as testers and project managers, how to:
Store big data
Configure big data
Process big data
Schedule processes
Move data among SQL and NoSQL systems
Monitor data
Perform big data analytics
Report on big data processes and projects
Test big data systems

Big Data Made Easy also explains the best part, which is that this toolset is free. Anyone can download it and-with the help of this book-start to use it within a day. With the skills this book will teach you under your belt, you will add value to your company or client immediately, not to mention your career.

What you'll learn
How to install and employ Hadoop

How to install and use Hadoop-related tools like Hive, Storm, Pig, Solr, Oozie, Ambari, and many others
How to set up and test a big data system
How to scale the system for the amount of data at hand and the data you expect to accumulate
How those who have spent their careers in the SQL database world can apply their skills to building big data systems
Who this book is for

This book is for developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for a general IT audience, anyone interested in Hadoop or big data, and those experiencing problems with data size. It's also for anyone who would like to further their career in this area by adding big data skills.
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Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

FREEDownload : Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

Michael Frampton, "Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset"
English | ISBN: 1484200950, 1484200969 | 2015 | 392 pages | PDF | 15 MB

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.

As shows, Apache Hadoop offers a scalable, fault-tolerant system for storing and processing data in parallel. It has a very rich toolset that allows for storage (Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm, Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa, Ambari, and Hue), testing (Big Top), and analysis (Hive).

The problem is that the Internet offers IT pros wading into big data many versions of the truth and some outright falsehoods born of ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of instructions to explain where to get Hadoop tools, what they can do, how to install them, how to configure them, how to integrate them, and how to use them successfully. And you need an expert who has worked in this area for a decade-someone just like author and big data expert Mike Frampton.

Big Data Made Easy approaches the problem of managing massive data sets from a systems perspective, and it explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an easily understood manner and through numerous examples, how to use each tool. The book also explains the sliding scale of tools available depending upon data size and when and how to use them. Big Data Made Easy shows developers and architects, as well as testers and project managers, how to:
Store big data
Configure big data
Process big data
Schedule processes
Move data among SQL and NoSQL systems
Monitor data
Perform big data analytics
Report on big data processes and projects
Test big data systems

Big Data Made Easy also explains the best part, which is that this toolset is free. Anyone can download it and-with the help of this book-start to use it within a day. With the skills this book will teach you under your belt, you will add value to your company or client immediately, not to mention your career.

What you'll learn
How to install and employ Hadoop

How to install and use Hadoop-related tools like Hive, Storm, Pig, Solr, Oozie, Ambari, and many others
How to set up and test a big data system
How to scale the system for the amount of data at hand and the data you expect to accumulate
How those who have spent their careers in the SQL database world can apply their skills to building big data systems
Who this book is for

This book is for developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for a general IT audience, anyone interested in Hadoop or big data, and those experiencing problems with data size. It's also for anyone who would like to further their career in this area by adding big data skills.
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Quantum Theory: A Wide Spectrum

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Quantum Theory: A Wide Spectrum

by E.B. Manoukian
English | 2006 | ISBN: 1402041896 | 1018 pages | PDF | 9.41 MB

Quantum Theory: A Wide Spectrum
This graduate-level textbook on quantum theory covers important recent developments and most aspects of the theory with detailed presentations. It is also a reference and research work which provides background for research in this discipline. In addition to traditional topics, coverage includes: Wigner's Theorem of symmetry transformations, Bose-Fermi oscillators, coherent states, the non-relativistic Lamb shift, Ramsey oscillatory fields methods, the AB effect, Schrodinger's cat and quantum decoherence, quantum teleportation and cryptography, quantum dynamics of the Stern-Gerlach effect.
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