Tag: Google Cloud Dataproc

Google Cloud Dataproc Nov. 26, 2018

Starting to develop in PySpark with Jupyter installed in a Big Data Cluster - Steps to start using Jupyter notebooks for PySpark in a Data Proc Cluster in GCP.

Google Cloud Dataproc Official Blog Nov. 19, 2018

New report examines the economic value of Cloud Dataproc’s managed Spark and Hadoop solution - ESG recently published a blog and an Economic Value Validation (EVV) report commissioned by Google, which examines the value delivered by Cloud Dataproc.

Google Cloud Dataproc Stackdriver Nov. 19, 2018

Get more value out of your application logs in Stackdriver - How to get your individual application logs into Stackdriver Logging and tagged separately into their own logger using Google Dataproc 1.2 and google-fluentd.

Google Cloud Dataproc Official Blog Nov. 19, 2018

Help for slow Hadoop/Spark jobs on Google Cloud: 10 questions to ask about your Hadoop and Spark cluster performance - How to improve your Hadoop and Spark job performance on Google Cloud Platform.

Advanced Google Cloud Dataproc Official Blog Tutorial Sept. 17, 2018

A flexible way to deploy Apache Hive on Cloud Dataproc - Tutorial shows how to use Apache Hive on Cloud Dataproc in an efficient and flexible way by storing Hive data in Cloud Storage and hosting the Hive metastore in a MySQL database on Cloud SQL and with that providing certain advantages.

Google Cloud Dataproc Tutorial Sept. 10, 2018

Run your Spark and Hadoop jobs as a Service with Dataproc Workflow Templates - Demo to create a workflow template, add one or more jobs to the template.

Google Cloud Dataproc Sept. 1, 2018

Convert CSV to Parquet using Hive on Cloud Dataproc - How to convert CSV to Parquet using Hive on Cloud Dataproc.

Google Cloud Dataproc Java Official Blog Aug. 20, 2018

Managing Java dependencies for Apache Spark applications on Cloud Dataproc - Include Java dependencies for Apache Spark applications on Cloud Dataproc.

Google Cloud Dataproc Official Blog July 16, 2018

Using instance metadata in Cloud Dataproc initialization actions - How to use instance metadata in Cloud Dataproc initialization actions.

Google Cloud Dataproc Google Cloud Pub/Sub Official Blog July 9, 2018

Using Apache Spark DStreams with Cloud Dataproc and Cloud Pub/Sub - Using Cloud Dataproc for running a Spark streaming job that processes messages from Cloud Pub/Sub in near real-time.

Google Cloud Dataproc Google Cloud Pub/Sub Tutorial July 2, 2018

Using Apache Spark DStreams with Cloud Dataproc and Cloud Pub/Sub - This tutorial shows how to deploy an Apache Spark DStreams app on Cloud Dataproc and process messages from Cloud Pub/Sub in near real time.

Google Cloud Dataproc Machine Learning Official Blog April 9, 2018

Using BigDL for deep learning with Apache Spark and Google Cloud Dataproc - BigDL, a distributed deep learning library can be used to write deep learning applications as standard Spark programs in either Scala or Python and directly run them on top of Cloud Dataproc clusters.

Google Cloud Dataproc Google Kubernetes Engine Official Blog April 2, 2018

Testing future Apache Spark releases and changes on Google Kubernetes Engine and Cloud Dataproc - Know how to test future Apache Spark releases and changes on Google Kubernetes Engine and Cloud Dataproc.

Google Cloud Dataproc March 19, 2018

Migrating On-Premises Hadoop Infrastructure to Google Cloud Platform - Solution article about migrating on-premises Hadoop infrastructure to Google Cloud Platform.

Google Cloud Dataproc Feb. 12, 2018

Autoscaling Google Dataproc Clusters - Create and run Apache Spark and Apache Hadoop clusters in a simple and very cost-efficient way using Cloud Dataproc.

Google Cloud Dataproc Jan. 29, 2018

Updating Cloud Dataproc for faster speeds and more resiliency - Take a look at how Cloud Dataproc now supports high availability (HA) and offer an option for greater performance.

Google Cloud Dataproc Jan. 29, 2018

Google Cloud Platform POC Part 1 — hadoop distcp to Google cloud storage - Using Cloud Dataproc: challenges faced and solutions.

Google Cloud Dataproc Jan. 29, 2018

Google Cloud Platform POC Part 2 — Create hive schema, run a spark job, scale the cluster - Using Hive and Spark on Dataproc cluster.

BigQuery GCP Experience Google App Engine Google Cloud Dataflow Google Cloud Dataproc Dec. 18, 2017

How We Implemented a Fully Serverless Recommender System Using GCP - In depth description with code samples of implementing recommendation (serverless) system on Google Cloud Platform.

Google Cloud Dataproc Tutorial Nov. 27, 2017

Launch a Hadoop Cluster in 90 Seconds or Less in Google Cloud Dataproc! - Step by step tutorial about setting Dataproc (Hadoop cluster).

Google Cloud Dataproc Oct. 30, 2017

The Data Engineering team at Cabify - Article describes first thoughts of using Google Cloud Dataproc and BigQuery.

Google Cloud Dataproc Oct. 16, 2017

Control and granularity with Spark and Hadoop on Cloud Dataproc - 3 improvement in Cloud Dataproc: granular IAM, scheduled deletion, per-second billing

Big Data Google Cloud Dataproc Aug. 20, 2017

Easier integration with Apache Spark and Hadoop via Google Cloud Dataproc Job IDs and Labels - Best practices to use Job IDs and labels

Google Cloud Dataproc July 31, 2017

Cloud Dataproc is now even faster and easier to use for running Apache Spark and Apache Hadoop - Updates and improvements for Google Cloud Dataproc

Google Cloud Dataproc June 12, 2017

Fastest track to Apache Hadoop and Spark success: using job-scoped clusters on cloud-native architecture

Google Cloud Dataproc May 1, 2017

How Feature Engineering can help you do well in a Kaggle competition - Part I - Using Google Cloud Platform for Kaggle challenge

Google Cloud Dataflow Google Cloud Dataproc Google Cloud Datastore March 27, 2017

Example to Integrate Spark Streaming with Google Cloud at Scale - Github repository which contains example to integrate Spark Streaming with Google Cloud products. The streaming application pulls messages from Google Pub/Sub directly without Kafka, using custom receivers. When the streaming application is running, it can get entities from Google Datastore and put ones to Datastore.

Google Cloud Dataproc March 6, 2017

Google Cloud Platform for data scientists: using Jupyter Notebooks with Apache Spark on Google Cloud - Analyzing data (NYC Taxi trips) on Google Cloud Dataproc with Spark and Jupiter

Google Cloud Dataproc Official Blog

Customer Managed Encryption Keys (CMEK) for Dataproc is now generally available - The latest is Cloud Dataproc Customer Managed Encryption Keys (CMEK), a feature that is now generally available.

Google Cloud Dataproc Official Blog

Extending the SQL capabilities of your Cloud Dataproc cluster with the Presto optional component - Presto Distributed SQL Query Engine for Big Data is now available in public beta as an optional component for Cloud Dataproc.

Google Cloud Dataproc

Massively Parallel Computations using DataProc - Calculating integral with Monte Carlo using Spark on Dataproc as an example of parallel computation.

 

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