Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem. This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data. Use Hive to create, alter, and drop databases, tables, views, functions, and indexes Customize data formats and storage options, from files to external databases Load and extract data from tables—and use queries, grouping, filtering, joining, and other conventional query methods Gain best practices for creating user defined functions (UDFs) Learn Hive patterns you should use and anti-patterns you should avoid Integrate Hive with other data processing programs Use storage handlers for NoSQL databases and other datastores Learn the pros and cons of running Hive on Amazon’s Elastic MapReduce
No matter what language you are familiar with, this book will benefit you. Beginning with a rapid introduction to PHP's syntax and basic functionality, you will swiftly understand PHP. The book then steers you toward advanced issues, like PHP's role in database manipulation, sessions, and user interactivity. Author W. J. Gilmore also examines how PHP can work with XML, JavaScript, and the Component Object Model (COM). He loads the book with practical examples and several projects that can be immediately incorporated on any website. The invaluable A Programmer's Introduction to PHP 4.0 shows you how to make the most of PHP's powerful capabilities, regardless of your current scope of PHP knowledge.
Mass claims have historically allowed victims of wrongdoing on an extensive scale to be compensated for losses suffered. This insightful book surveys and evaluates both domestic and international mass claims processes, delineating their successes and failures in providing this compensation.
A one-way ticket to Australia...two months of travel...and a shoestring budget. In Red Earth Diaries we meet Jason and Ambika, a newlywed couple who migrated to Australia with the hope of a fresh start. However, unlike most migrants, they made a bold decision to postpone their settlement plans, throw caution to the wind and backpack in Australia on a shoestring budget. Their intention was to learn about the country and its people first-hand ... a land they would someday call home. Swimming with sharks, cuddling cute koalas, chartering private helicopters, venturing deep into ancient rainforests, and getting to know plenty of locals - the couple had incredible experiences in this stunning country. Their travel story is interwoven with snippets of history and provides the reader with a glimpse of Australia as viewed through the eyes of newly arrived migrants. Join Jason and Ambika on their spectacular journey of discovery. Red Earth Diaries is founded on four primary pillars: a migrant's journal, a travelogue, a delve into Australian history, and an inspirational tale. The central message of the book is for everyone to chase their dreams - however distant and impossible they may seem. The central message of the book is for everyone to chase their dreams - however distant and impossible they may seem. Moving to Australia has been one seemingly impossible goal the author had set decades ago, and he likewise urges the reader to shed all reservations and to dream the wildest dreams possible. The Preface of Red Earth Diaries is called Dreamtime, and in it, the author describes the evolution of his journey to this strange and peculiar wonderland. As a travelogue, the book harkens to all travellers as well as migrants who are already in Australia or who are thinking of making the move to this beautiful country. The book also contains stories of local Australians the couple met along the way. In it you will meet, amongst others - Helen, a 10-Pound-pom; Rowland Mosbergen, a sprightly man in his eighties who survived the horrors of WWII in a remote jungle in Bahau; Rafael and Nadia and their three kids based in Research, Victoria; Ranjit, a practising surgeon and his wife who are based in Kew, Melbourne. The travelogue aims to deliver an essential message to all migrants in Australia - to not take this country for granted but to try to understand and embrace its culture first. Some key personalities mentioned: Paul Hogan, Ned Kelly, Steve Irwin, Captain Cook, Burley Griffin, Gregory Blaxland, Jorn Utzon, Eddie Mabo Some key historical events described: The Endeavour striking the reef, finding a passage through the Blue Mountains, the discovery of gold, the naming of Sunshine Coast, the birth of Canberra as the nation's capital, the iconic rail journeys in Australia, WWI and WWII, Early colonization, Blackbirding, construction of Opera House. Charity Donation: Five per cent of all profits from the sale of this book in the first year of publication will be donated to the Red Cross towards the 2019-20 bushfire crisis management (www.redcross.org.au) and a further five per cent will be also be given to aged care in India through Help Age India (www.helpageindia.org).
Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem. This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data. Use Hive to create, alter, and drop databases, tables, views, functions, and indexes Customize data formats and storage options, from files to external databases Load and extract data from tables—and use queries, grouping, filtering, joining, and other conventional query methods Gain best practices for creating user defined functions (UDFs) Learn Hive patterns you should use and anti-patterns you should avoid Integrate Hive with other data processing programs Use storage handlers for NoSQL databases and other datastores Learn the pros and cons of running Hive on Amazon’s Elastic MapReduce
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