6. Building a Data Dashboard With Google BigQuery

The media success of Apache Hadoop has been both a blessing and a curse for those who have an interest in learning about new distributed data technologies. The hype, while well-deserved, has led to an emphasis on Hadoop as the end-all be-all solution for anything related to “big data.”

In reality, applications built to handle large-scale data problems often require a collection of different technologies, each optimized for a particular use case. Non-relational databases are useful for managing data at scale, especially when the amount of data reads greatly exceed the amount of writes. MapReduce frameworks are useful for transforming data from one form into another. Along with these use cases, ...

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