Working with Apache Cassandra: Using Collection & User-defined Fields
Apache Cassandra
| Intermediate
- 11 videos | 1h 5m 17s
- Includes Assessment
- Earns a Badge
Apache Cassandra does not support joins, which means that data is inherently denormalized. That gives rise to the need for collection fields such as sets, maps, and lists, as well as for user-defined types that allow the table creator to encapsulate related fields. Begin this course by working with set, map, and list types. Then, focus on user-defined types and counter fields. Finally, you'll learn how to work with CSV and JSON data - including reading data from and writing data to a CSV file and displaying query results in JSON format. Upon completion, you'll be able to enumerate and contrast collection fields in Cassandra; define and use set, map, and list types; leverage user-defined types and counters; and work with JSON and CSV data and the COPY command.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Create date and set fields in cassandra
Query and modify set fields in cassandra
Create and use lists in cassandra
Store key-value pairs in maps
Store nested collections within frozen collections -
Create and use user-defined types
Create tables with counter fields
Read and write csv data
View and insert data in json format
Summarize the key concepts covered in this course
IN THIS COURSE
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1m 36s
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8m 44s
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3. Querying and Modifying Set Fields in Cassandra5m 19s
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4. Using List Fields in Cassandra8m 2s
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5. Storing Key-value Pairs in Maps5m 43s
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6. Using Nested Collections6m 9s
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7. Using User-defined Types6m 48s
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8. Using Counter Fields5m 12s
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9. Reading and Writing Data from CSV Files7m 56s
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10. Using Data in JSON Format6m 47s
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11. Course Summary3m 1s
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