Big Data Archives - Page 7 of 29 - Qubole

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Big Data Data Lake

Using Qubole Notebooks to Predict Future Sales with PySpark

Big Data Data Science Machine Learning

A Data Scientist’s Guide to Model Deployment on SageMaker Using MLeap and Qubole Notebooks

Data Engineering Product

Improving Recover Partitions Performance with Spark on Qubole

Big Data Company Product

Qubole Now Supports Glue Data Catalog to Run ETL, ML, and Analytics Jobs

How to Build and Extract Value from a Data Lake with a Cloud Platform

Data Engineering Product Trino

How to Save on Cloud Costs Using Required Workers in Presto on Qubole

Apache Spark Big Data Data Engineering

Data Science at Honestbee: Parsing Event Logs with Apache Spark and Sparklyr on Qubole

One AdTech Company’s Journey to Higher-Performing Ad Campaigns and Greater Cost Efficiency

Big Data Data Science Machine Learning

Nauto Rethinks Safe Driving with an AI-Powered Platform that Relies on Qubole

Apache Spark Big Data Data Engineering Machine Learning

Sentiment Analysis Using Word2Vec and Deep Learning with Apache Spark on Qubole

Data Analytics Data Engineering

Introducing Reports for Notebooks and Dashboards: Making Data Accessible for Everyone

Big Data Data Lake TCO

Managing Costs with Financial Governance While Democratizing Data at Scale

Big Data Company Product

Qubole and Google Join Forces to Deliver Unified User Experience for Apache Spark and Hadoop

Big Data Company Product

A Technical Overview of Qubole Data Platform on Google Cloud

How an Advertising Software Company Processes Over 10 Billion Daily Events with Presto on Qubole

Ibotta Builds a Cost-Efficient, Self-Service Data Lake Using Qubole

Big Data Data Engineering Data Lake Trino

Using Spot Nodes in Presto on Qubole Without Sacrificing Reliability

Big Data Data Analytics Streaming Analytics

Introducing Kinesis Connector for Structured Streaming

Dive into Your Data Lake with Self-Service Analytics

Big Data Company Product

A Tale of Two Reports: Why Qubole Is a “High Performer” and a “Strong Contender”

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