By Nigel Chapman, Jenny Chapman
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Additional resources for Authentication and Authorization on the Web (Web Security Topics)
There are three ways to get your data into BigQuery: streaming, direct upload, and through Google Cloud Storage. The most reliable and predictable is likely the latter. If your data is already in Google Cloud Storage, the load step is merely a transfer between two systems already within Google’s cloud, so ingestion is very fast. 21 22 Part I ■ BigQuery Fundamentals Direct upload can be an easier route if you don’t want to go through Google Cloud Storage, because you can follow a standard resumable-upload HTTP protocol.
Hadoop was designed to be very similar to the architecture described in the MapReduce paper, and the Hadoop subprojects HDFS and HBase are close to GFS and BigTable. However, as the value of scale-out systems began to increase (and as problems with traditional scale-up solutions became more apparent), the Open Source Big Data stack diverged significantly. A lot of effort has been put into making Hadoop faster; people use technologies such as Hive and Pig to query their data; and numerous NoSQL datastores have sprung up, such as CouchDB, MongoDB, Cassandra, and others.
Facebook’s Presto is a distributed SQL query engine that is similar to Impala. The days when Google held the clear advantage in innovation in the Big Data space are over. Now, we’re in an exciting time of robust competition among different Big Data tools, technologies, and abstractions. Google Cloud Platform Google has released many of its internal infrastructure components to the public under the aegis of the Google Cloud Platform. Google’s public cloud consists of a number of components, providing a complete Big Data ecosystem.
Authentication and Authorization on the Web (Web Security Topics) by Nigel Chapman, Jenny Chapman