Explain data partitioning strategies in cloud distributed databases.

$1.$ Analyse and compare: Range$-$based data partitioning, hash partitioning, Directory$-$based partitioning, Graph$-$based data partitioning. $($Consider factors like performance, scalability, and cost$)$

$2.$ Discuss the importance and significance.

$3.$ Discuss basic approaches or mechanisms. $($Range$-$based data partitioning, hash partitioning, Directory$-$based partitioning, Graph$-$based data partitioning$)$

$4.$ Draw figures to explain the techniques. $($Range$-$based data partitioning, hash partitioning, Directory$-$based partitioning, Graph$-$based data partitioning$)$

$5.$ Draw tables, figures, examples to compare the techniques. $($Range$-$based data partitioning, hash partitioning, Directory$-$based partitioning, Graph$-$based data partitioning$)$

$6.$ Discuss the classification of techniques. Draw a tree to show the classification.

$7.$ Discuss the advantages disadvantages of the classified techniques.

$8.$ Find an unsolved problem or difficulties and future research issues.

$9.$ Give an analytical summary and synthesis of the research problem.

$10.$ Make a statement about the scope of this topic.