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Cloud Analytics

GCP Analytics

Big Data Analysis using various GCP managed services like Google BigQuery, Cloud BigTable, Cloud Dataproc, Cloud Dataflow, Cloud Dataprep, Cloud Data Fusion, Google Data Studio, Looker etc.

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Articles

Google BigQuery

BigQuery is Google's fully-managed, petabyte scale, low-cost enterprise data warehouse to manage and analyze large amount of data with built-in features like machine learning, geospatial analysis, and business intelligence.

Updated 13 Oct, 2021

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Data Analysis using BigQuery

In this article we are going to setup Google BigQuery for Data Analytics as well as Google Data Studio for Visualization.

Updated 19 Oct, 2021

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Google Cloud Dataproc

Dataproc is a fully managed and highly scalable service for running Apache Spark, Apache Flink, Presto, and 30+ open source tools and frameworks.

Updated 15 Oct, 2021

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Create Google Cloud Dataproc Cluster

Google Cloud Dataproc lets us provision Apache Hadoop clusters and connect to underlying analytic data stores. With Cloud Dataproc we can set up & launch a cluster to process and analyze data with various big data frameworks very easily.

Updated 15 Oct, 2021

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Process Data as Job Workflow in Google Dataproc

We can submit jobs and interact directly with the data frameworks that is installed in the Google Dataproc cluster. Alternatively, we can submit one or more Job steps or Workflow Job Template to a Google Dataproc cluster. Each step is a unit of work that contains instructions to manipulate data for processing by the data framework installed on the cluster.

Updated 19 Oct, 2021

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