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Programminghomeworkhelp.com is a top-rated provider of apache hive homework help. We strive not only to provide students with customized solutions for their homework but also to make sure that they acquire useful knowledge in the concepts that they are struggling with. Our comprehensive hive programming homework help is offered by seasoned writers who have a thorough understanding of all the fundamentals of apache hive. If you are struggling with any homework related to apache hive, our platform should be your preferred destination.

Architecture of Hive

Hive has a wide range of components that performs various functions. We have discussed these components below:
  • User interface

Hive offers interaction between the users and the Hadoop distributed file system. Some of the user interfaces supported by Hive are the Hive command line, Hive Web UI, and Windows server’s Hive HD insight.

  •  Meta Store

Hive stores metadata of tables, databases, etc., or schema in respective database stores. These stores are known as Meta stores.

  • HiveQL Process Engine

This component works the same as the SQL for querying schema information on the Meta store. It is one of the developments that are meant to replace the traditional approach employed by a MapReduce program. HiveQL process engine allows users to write a query for a MapReduce task and process it rather than coding a MapReduce program in Java.

  • Execution Engine

This is the conjunction segment of the HiveQL process engine and Hive’s MapReduce. It is tasked with processing a query and generating results similar to MapReduce results.


HBASE or HDFS is a method for storing data in the file system.

Want to submit impressive solutions for your Hadoop project? Hire our apache hive homework helpers

Hiring our apache hive homework helpers is the best decision you can ever make when you are stuck with a project based on Hadoop. The Hadoop ecosystem contains Hive and other sub-projects. It is an open-source framework that stores and analyzes big data in a distributed platform. Hadoop has two main modules:

Hadoop Distributed File System (HDFS)

This module supports the storage and processing of datasets. It boasts of a fault-tolerant file system that runs on commodity hardware.


This module is a parallel programming model. It processes large amounts of data on huge clusters of commodity hardware. The data processed by MapReduce can be structured, unstructured, and semi-structured. There are two main concepts that you should be familiar with in MapReduce:
1.    Data flow
•    Map function
•    Partition function
•    Shuffling and sorting
2.    MapReduce API
•    Mapper class
•    Reducer class
•    Job class
Our apache hive homework helpers are fully aware of the concerns that plague students preparing an academic paper on Hadoop. There is always that lingering sense of fear when your homework due date is almost and you haven’t done any tangible work on it. You can shake off this feeling by hiring our hive programming experts who are known to produce authentic and correct solutions that conform to your university guidelines.

Remarkable help with apache hive homework based on column types

Column types are used in the hive to create tables. The following are some of the column types that support column data types in the hive:

Integral types

Integral type, INT is used to specify data of type integer. BIGINT and SMALLINT are used when the integer range is bigger and smaller respectively. Also, TINYINT is used when the range is the least.

String types

They are usually specified using single or double-quotes. String types have two data types, CHAR and VARCHAR. C-types escape characters are supported in Hive.
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Views in apache hive are created based on the requirements of the user. Any data set result can be saved as a view. Also, the use of views is standard in relational database management systems. Besides, all DML operations can be executed in a view. We can create a view in the hive during the execution of the SELECT statement. On the other hand, an index can simply be defined as a pointer in a given column of a table. Our apache hive project help professionals can assist you with dropping views and indexes.
Your quest to complete your homework on views and indexes on time can lead you to spend several hours on the internet searching for trustworthy hive programming project help.  We are confident that your search will end with us. We are the pioneer of affordable apache hive coursework help. Our service is integrated with unique features that make it stand out from the rest.  Students stuck with projects on views and indexes have at their disposal the best programmers who specialize in apache hive.

Can you do my apache hive homework that requires the creation of a database?

Apache hive is a database technology tool that supports the creation of databases and analysis of structured data. Storage of this type of data is often done in a tabular manner and the analysis is performed using queries. Hive has an already created default database named "default. Are you stranded with creating a database and wondering, "Who can do my apache hive homework?"  Today is your lucky day because we have experts who specialize in database creation in the hive.  Our tutors have handled projects on:
1.    Drop database
•    Schema
•    Userdb
•    Cascade
2.    Creating a table
3.    Altering a table
4.    Partitioning
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Here are some of the topics that we have to provide apache hive help in:

Hive user-defined functions
Joining tables
Drop table
Hive user-defined operators
Hive data definition language
Hive data types
Sorting and ordering

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