Learn more about Workload-Aware-Auto-Scaling-- an alternative architectural approach to Auto-Scaling that i...
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Guest authors: Jerry Xu, Co-founder and CEO Datatron; Lekhni Randive, Product Manager, Datatron Qubole author: Jorge Villamariona, Sr. Product Marketing Manager, Qubole In today’s world,… The post...
The sixth release of Apache Sqoop i.e. 1.4.7 is out! This is one of the most significant updates to the Sqoop platform. We give you… The post Apache Sqoop 1.4.7 – 9 reasons why you need it...
The cybersecurity company yields greater data-processing at lower costs, and realizes more powerful insights with Qubole.
The flexibility, APIs, and financial governance offered by Qubole enables Neustar to automate its solutions.
Learn more about Workload-Aware-Auto-Scaling-- an alternative architectural approach to Auto-Scaling that is better suited for the Cloud and applications like Hadoop, Spark and Presto.
AgilOne runs a variety of workloads for querying data, running ML models, orchestrating ML workflows, and more on Qubole
Which engines are most effective for each stage of the data engineering cycle
Simple, practical solutions for common challenges faced by data engineering teams
Common challenges faced by data engineers when building pipelines for ML and how to address them
Use Apache Airflow to author workflows as directed acyclic graphs (DAGs) of tasks
How to facilitate event-based processing of long running ETL processes with AWS Data Pipeline and Qubole
How Airflow on Anaconda makes running machine learning pipelines and data science tasks seamless
The data on big data -- what engines are used most, for what, and which are the rising stars.
Which vendors rank highest in customer satisfaction for big data processing
Learn how to use Qubole to acquire and transform data sets for data science and analytics, make data sets available to different users, and fully leverage your data lake.
Nauto Improves its Data Scientist Productivity, Accelerates Product Development
Ibotta cut costs thanks to Qubole’s autoscaling and downscaling capabilities, and the ability to isolate workloads to separate clusters.
Qubole saved Poshmark up to one year to start transforming big data into creating value for its community