Working with Apache Cassandra: Indexes, Aggregations, & Programmatic Access
Apache Cassandra 4.0
| Expert
- 10 Videos | 1h 1m 34s
- Includes Assessment
- Earns a Badge
Apache Cassandra is a distributed NoSQL technology meant for large-scale data, so programmatic access to Cassandra is especially important. Cassandra supports client libraries in several major programming languages, like Java, Python, and C#. Developers use these to connect to Cassandra and to work with it from code. Begin by creating and using indexes in Cassandra. Then, define and invoke user-defined functions (UDFs) to perform aggregations. Finally, you'll create a Java Maven project with the datastax library as a dependency and connect to a Cassandra database using that library. You will create a Cassandra session, execute various operations using the datastax APIs, and confirm that these queries went through successfully. Upon completion, you will be able to create indexes on Cassandra tables, perform grouping and aggregation operations, leverage UDFs, and work programmatically with Cassandra from a Java client.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursecreate indexes on columnscreate indexes on continuous columns and query themperform grouping and aggregation queriescreate and use user-defined functions (UDFs)
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run atomic queriesconnect to Cassandra from Javainsert rows into Cassandra tables from Javaperform update and delete operations from Javasummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 27sUP NEXT
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2.Creating Indexes on Columns7m 34s
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3.Querying Tables with Indexes8m 45s
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4.Performing Grouping and Aggregations8m 6s
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5.Creating User-defined Functions (UDFs)5m 14s
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6.Running Atomic Queries4m 48s
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7.Connecting to Cassandra from Programmatic APIs9m 7s
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8.Modifying Cassandra Tables from Java6m 41s
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9.Updating and Deleting Data from Java7m 9s
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10.Course Summary2m 45s
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