Data Science on Qubole Data Platform
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TiVo shares best practices for ingesting, processing, and making available for analysis terabytes of streaming and batch viewership data from millions of households
How big data engines are used for exploring and preparing data, building pipelines, and delivering data sets to ML applications
Using Qubole Presto for Interactive and Ad-Hoc Queries
Tips for when to use Presto versus Apache Spark, and how to enable self-service access to your data lake
Qubole on Amazon AWS: Security and Compliance
Security strategies to protect your information and how our security model works with AWS
Modern Data Engineering and The Rise of Apache Airflow
Brief introduction to Apache Airflow, its optimal use cases, and real-world examples
Real-world data science practitioners offer perspectives and advice on six common Machine Learning problems
Running Apache Spark at Scale in the Cloud
Deep dive into the use cases for Apache Spark on Qubole, including ETL and machine learning
Migrating to a Modern Cloud-Native Data Lake with Microsoft Azure and Qubole
Benefits of migrating to a cloud-native data lake and how to choose the right data architecture
Enterprise-Scale Big Data Analytics on Google Cloud Platform
Why a unified experience with native notebooks, a command workbench, and integrated Apache Airflow are a must.
Why You Need a Cloud Platform to Succeed with Big Data
The benefits of a single cloud platform and centralized access to data
O'Reilly ebook: Operationalizing the Data Lake
Best practices for building a cloud data lake operation—from people and tools to processes
How to Increase the Scalability of HiveServer2 with Qubole