hive vs mapreduce performance - Wikitechy https://www.wikitechy.com/interview-questions/tag/hive-vs-mapreduce-performance/ Interview Questions Tue, 14 Sep 2021 11:25:08 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://www.wikitechy.com/interview-questions/wp-content/uploads/2025/10/cropped-wikitechy-icon-32x32.png hive vs mapreduce performance - Wikitechy https://www.wikitechy.com/interview-questions/tag/hive-vs-mapreduce-performance/ 32 32 What is the best studio software/tool to run HIVE SQL/HQL queries by a data analyst ? https://www.wikitechy.com/interview-questions/hive/what-is-the-best-studio-software-tool-to-run-hive-sql-hql-queries-by-a-data-analyst/ https://www.wikitechy.com/interview-questions/hive/what-is-the-best-studio-software-tool-to-run-hive-sql-hql-queries-by-a-data-analyst/#respond Tue, 13 Jul 2021 21:51:04 +0000 https://www.wikitechy.com/interview-questions/?p=580

Best studio software/tool to run HIVE SQL/HQL queries by a data analyst

  • Hue has a Web SQL Editor with autocomplete, display of table/data samples, light graphing, query download

1. RazorSQL

  • SQL Query Tool and Database Client
  • RazorSQL is an SQL query tool, database editor, database browser, and database administration tool for Windows, macOS / Mac OS X, Linux, and Solaris.

2.SQL Editor

  • Edit SQL scripts.
  • Run SQL queries.
  • Auto column and auto table lookup.
  • Multi-tabular query display.
  • Supports over 20 programming languages including SQL, PL/SQL, T-SQL, PHP, HTML, XML, Java, and more.

3. Database editor

  • Edit database tables in a spreadsheet format with support for finding and replacing data, automatic generation of SQL, and support for editing multi-line data.

4. Sql query builder

  • Easily build select, insert, delete, and update SQL queries and statements. Build multi-table joins.

5. Database GUI Tools

  • Includes tools for creating tables, views, indexes, procedures, functions, triggers, databases, users and tools for altering and dropping tables and views.
  • Also includes tools for visually editing procedures, functions, and triggers.
]]> https://www.wikitechy.com/interview-questions/hive/what-is-the-best-studio-software-tool-to-run-hive-sql-hql-queries-by-a-data-analyst/feed/ 0 What is the difference between Pig, Hive and HBase ? https://www.wikitechy.com/interview-questions/apache-pig/what-is-the-difference-between-pig-hive-and-hbase/ https://www.wikitechy.com/interview-questions/apache-pig/what-is-the-difference-between-pig-hive-and-hbase/#respond Mon, 12 Jul 2021 08:40:35 +0000 https://www.wikitechy.com/interview-questions/?p=211

Difference between Pig, Hive and HBase

Pig Hive Hbase
It is used for semi structured data. Hive is query engine HBase is a data storage particularly for unstructured data.
Pig Hadoop Component is generally
used by Researchers and Programmers.		 Apache Hive is mainly used for
batch processing i.e. OLAP
and creating reports.		 HBase is extensively used for transactional processing where in the response time of the query is not highly interactive i.e. OLTP
Pig Hadoop Component operates on
the client side of any cluster.		 Hive Hadoop Component operates on
the server side of any cluster.		 Operations in HBase are run in real-time on the database
Avro supported for Pig. Hive does not support Avro. The client which is reading/writing the data has to deal with the avro schemas, after HBase delivered the raw data to it.
Pig Hadoop is a great ETL tool
for big data because of its powerful
transformation and processing
capabilities.		 Hive Hadoop Component is helpful
for ETL.		 Hbase Component is helpful for ETL.
Pig are high-level languages that
compile to MapReduce.		 Hive is also a high-level languages
that compile to MapReduce.		 HBase allows Hadoop to support the transactions on key value pairs.
Pig is also SQL-like but varies to
a great extent and thus it will
take some time efforts to master Pig.		 Hive directly leverages SQL expertise
and thus can be learnt easily.		 HBase allows you to do quick random versus scan all of data sequentially, do insert/update/delete from middle, and not just add/append.
]]> https://www.wikitechy.com/interview-questions/apache-pig/what-is-the-difference-between-pig-hive-and-hbase/feed/ 0 What is the difference between Pig and Sqoop in Hadoop ? https://www.wikitechy.com/interview-questions/apache-pig/what-is-the-difference-between-pig-and-sqoop-in-hadoop/ https://www.wikitechy.com/interview-questions/apache-pig/what-is-the-difference-between-pig-and-sqoop-in-hadoop/#respond Mon, 12 Jul 2021 08:36:31 +0000 https://www.wikitechy.com/interview-questions/?p=209

Difference between Pig and Sqoop in Hadoop

Pig Sqoop
Apache Pig is a tool for analytics which is used to
analyze data stored in HDFS.		 Apache Sqoop is a tool to importing structured data from RDBMS to HDFS or exporting data from HDFS to RDBMS.
We can import the data from Sql databases into
hive rather than NoSql Databases.		 It can integrate with any external data sources with HDFS i.e Sql , NoSql and Data warehouses as well using this tool at the same time we export it as well since this can be used as bi-directional ways
Pig can be used for following purposes ETL
data pipeline, Research on raw data.		 Important Sqoop control commands to import RDBMS data are Append, Columns and Where
The pig Metastore stores all info about the tables.
And we can execute spark sql queries because spark
can interact with pig Metastore.		 Sqoop metastore is a tool for using hosts in a shared metadata repository. Multiple users and remote users can define and execute saved jobs defined in metastore.
The scalar data types in pig are int, float,
double, long, chararray, and bytearray. The complex data
types in Pig are map, tuple, and bag.		 It basically converts CHAR(x), VARCHAR(x), NUMERIC(x,y) to string (with lengh 32767), and it converts DATETIME to BIGINT.
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Difference between Pig,Hive and Hadoop

Pig Hive Hadoop
Apache Pig is a high-level
platform for creating programs
it runs on Apache Hadoop.		 Apache Hive is a data warehouse
software project built on top of
Apache Hadoop for providing
data query, and
analysis.		 Open-source software framework for distributed storage and processing dataset of big data using the MapReduce programming model.
Pig Latin extracts the programming
from the Java MapReduce phrase
into a code which creates
MapReduce programming high level.		 Hive provides the SQL
abstraction to integrate
SQL-like queries (HiveQL).
The underlying Java without
we need to implement queries in the
low-level Java API.		 The Hadoop Common package for Java ARchive (JAR) files and scripts needed to start Hadoop.
Pig basically has 2 parts:
the Pig Interpreter and the
language, PigLatin		 It provides us data warehousing
facilities on top of an
existing Hadoop cluster.		 Hadoop is basically two things:Hadoop Distributed File System (HDFS) +a Computation or Processing framework (MapReduce).
Pig makes our life a lot easier,
otherwise writing MapReduce is
always not easy.		 User can create tables in Hive and
store data there. Along with
that user can even map their
existing HBase tables to Hive
and operate on them.		 Hadoop is a distributed, scalable,big data store, modelled after Google’s BigTable.It stores data as key/value pairs.
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