How to integrate Amazon EMR in Google BigQuery
Discover how to integrate Amazon EMR and Google BigQuery and instantly get access to your data.
WITH DATA VIRTUALITY PIPES
Replicate Amazon EMR data into Google BigQuery and analyze it with your BI Tool.
About Amazon EMR
Amazon EMR provides a managed Hadoop framework that enables users to process large amounts of data in dynamically scalable Amazon EC2 instances. With Amazon EMR users can also run other frameworks like Apache Spark, HBase, Presto, and Flink. In addition, there is the option to interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB.
About Google BigQuery
Google BigQuery is a fully managed, low cost enterprise data warehouse for analytics used by Fortune 500 companies as well as startups. While Google BigQuery works in conjunction with Google Storage for interactive analysis of massively large data sets it can scan TeraBytes in seconds and PetaBytes in minutes.
What is Data Virtuality Pipes?
Data Virtuality Pipes is an easy to use data integration tool. It allows to connect with Amazon EMR, Google BigQuery and more than 200 other cloud services and databases. All connected data sources can be directly queried with SQL and data can be moved into any analytical database. Customers of Data Virtuality Pipes no longer have to worry about API changes. All connectors and data pipelines are fully maintained by us.
Choose your data sources: Google Analytics, Salesforce, Facebook, Amazon MWS and more
Move your data into a target storage: Amazon Redshift, PostgreSQL, Google BigQuery, Snowflake and more
Analyze your combined data using the Business Intelligence tools of your choice: Looker, Tableau, Excel and more
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