18. The 19. 20. is a basic lock that allows any number of transactions to read a 21. tuple, but will not allow any to modify it. Using the terminology of Hadoop and "big data", a single computer in a cluster is called a Hadoop cluster. A ACID can be thought of as a logical unit of work for the DBMS that contains one or more SQL statements that adhere to ACID properties. The SQL statement causes the DBMS to write table changes from working memory onto the disk. This finalizes the changes and makes them permanent. As a general rule, the longer a concurrency protocol holds onto locks, the 2. better (better/worse) the integrity.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Please send me answer of fill the blanks each with explanation please .sewbd me immiditely i will give you like

The
is a basic lock that allows any number of transactions to read a
tuple, but will not allow any to modify it.
19. Using the terminology of Hadoop and "big data", a single computer in a cluster is called a
Hadoop cluster.
A ACID
20.
can be thought of as a logical unit of work for the DBMS
that contains one or more SQL statements that adhere to ACID properties.
The
18.
21.
2.
SQL statement causes the DBMS to write table changes from
working memory onto the disk. This finalizes the changes and makes them permanent.
As a general rule, the longer a concurrency protocol holds onto locks, the
better
(better/worse) the integrity.
Transcribed Image Text:The is a basic lock that allows any number of transactions to read a tuple, but will not allow any to modify it. 19. Using the terminology of Hadoop and "big data", a single computer in a cluster is called a Hadoop cluster. A ACID 20. can be thought of as a logical unit of work for the DBMS that contains one or more SQL statements that adhere to ACID properties. The 18. 21. 2. SQL statement causes the DBMS to write table changes from working memory onto the disk. This finalizes the changes and makes them permanent. As a general rule, the longer a concurrency protocol holds onto locks, the better (better/worse) the integrity.
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