By Dayong Du
Immerse your self on a good looking trip to find the attributes of massive info through the use of Hive
About This Book
- Discover how Hive can coexist and paintings with different instruments within the Hadoop environment to create large facts solutions
- Grasp the abilities wanted, study the simplest practices, and steer clear of the pitfalls in writing effective Hive queries to investigate the massive data
- Create an atmosphere to research titanic information utilizing sensible, example-oriented scenarios
Who This e-book Is For
If you're a info analyst, developer, or just an individual who desires to use Hive to discover and examine information in Hadoop, this can be the ebook for you. no matter if you're new to important facts or a professional, with this e-book, it is possible for you to to grasp either the fundamental and the complicated positive factors of Hive. when you consider that Hive is an SQL-like language, a few past adventure with the SQL language and databases turns out to be useful to have a greater figuring out of this book.
What you are going to Learn
- Create and arrange the Hive environment
- Discover the best way to use Hive's definition language to explain data
- Discover attention-grabbing info via becoming a member of and filtering datasets in Hive
- Transform information by utilizing Hive sorting, ordering, and functions
- Aggregate and pattern information in numerous ways
- Boost Hive question functionality and increase information defense in Hive
- Customize Hive on your wishes through the use of user-defined services and combine it with different tools
In this publication, we organize you in your trip into tremendous info through to start with introducing you to backgrounds within the immense information area besides the method of establishing and getting accustomed to your Hive operating surroundings. subsequent, the e-book publications you thru studying and reworking the values of huge info with assistance from examples. It additionally hones your ability in utilizing the Hive language in an effective demeanour. in the direction of the tip, the e-book makes a speciality of complex issues resembling functionality, safeguard, and extensions in Hive, that allows you to advisor you on interesting adventures in this priceless large information journey.
By the top of the e-book, you may be acquainted with Hive and ready to paintings successfully to discover suggestions to important info problems.
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Additional info for Apache Hive Essentials
Using ARRAY of ARRAY as an example, the delimiters for the outer ARRAY are Ctrl + B (\002) characters, as expected, but for the inner ARRAY they are Ctrl + C (\003) characters, the next delimiter in the list. For our example of using MAP of ARRAY, the MAP key delimiter is \003, and the ARRAY delimiter is Ctrl + D or ^D (\004). Data type conversions Similar to Java, Hive supports both implicit type conversion and explicit type conversion. Primitive type conversion from a narrow to a wider type is known as implicit conversion.
Com/books/subscription/packtlib Do you need instant solutions to your IT questions? PacktLib is Packt's online digital book library. Here, you can search, access, and read Packt's entire library of books. Why subscribe? com, you can use this to access PacktLib today and view 9 entirely free books. Simply use your login credentials for immediate access. I dedicate this book to my daughter Preface With an increasing interest in big data analysis, Hive over Hadoop becomes a cutting-edge data solution for storing, computing, and analyzing big data.
0 as an example. 2Note Since we focus on Hive in this book, the installation steps for Java and Hadoop are not provided here. html. xml. dir: This is the path for Hive warehouse storage. scratchdir: This is the temporary data file path. name}. org/derby/) database as the metadata store. com/) as the metadata store. ConnectionPassword
Apache Hive Essentials by Dayong Du