Taxi Rides And Amazon Athena

Mark Litwintschik looks at using Amazon Athena to process the New York City taxi rides data set:

It’s important to note that Athena is not a general purpose database. Under the hood is Presto, a query execution engine that runs on top of the Hadoop stack. Athena’s purpose is to ask questions rather than insert records quickly or update random records with low latency.

That being said, Presto’s performance, given it can work on some of the world’s largest datasets, is impressive. Presto is used daily by analysts at Facebook on their multi-petabyte data warehouse so the fact that such a powerful tool is available via a simple web interface with no servers to manage is pretty amazing to say the least.

Athena is Amazon’s response to Azure Data Lake Analytics. ¬†Check out Mark’s blog post for a good way of getting started with Athena.

Related Posts

Generating Load For Kafka With JMeter

Anup Shirolkar shows us a way to use JMeter to generate load for Apache Kafka clusters: The Anomalia Machina is going to require (at least!) one more thing as stated in the intro, loading with lots of data! Kafka is a log aggregation system and operates on a¬†publish-subscribe mechanism. The Kafka cluster in Anomalia Machina […]

Read More

Data Science And Data Engineering In HDP 3.0

Saumitra Buragohain, et al, show off some of the things added to the Hortonworks Data Platform for data scientists and data engineers: We leverage the power of HDP 3.0 from efficient storage (erasure coding), GPU pooling to containerized TensorFlow and Zeppelin to enable this use case. We will the save the details for a different […]

Read More

Categories

December 2016
MTWTFSS
« Nov Jan »
 1234
567891011
12131415161718
19202122232425
262728293031