Bigtable Overview Google Professional Data Engineer GCP

Cloud Bigtable is a sparsely populated table
Can scale to billions of rows and thousands of columns,
Can store terabytes or even petabytes of data.
A single value in each row is indexed called the row key.
Good to store very large amounts of single-keyed data with very low latency.
Supports high read and write throughput at low latency
Ideal data source for MapReduce
Supports client libraries, like Apache HBase library for Java.
Has Incredible scalability
similar to hbase, cassandra, dynamodb.
indexed by row key, column key, and timestamp
Data can be streamed into bigtable
No joins, transactions supported only within a single row
Append only operation, no transactional.
Cluster resizing without downtime
Use cases
- non-structured key/value data, but each value is no larger than 10 MB.
- storage engine for batch MapReduce
- stream processing/analytics
- machine-learning applications
Store and query following data
- Time-series data
- Marketing data like purchase histories
- Financial data, like transaction histories
- Internet of Things data, like usage reports
- Graph data