Webinars
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The Open Data Lake Talks: Optimizing Costs in A Changing World
As organizations grapple with the sudden economic turmoil created by the pandemic, there is a critical need to balance cost savings with the need to drive innovation.
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Qubole On-Demand: Discover our Open Data Lake Platform
Join our on-demand demo to learn how the most data-driven organizations are able to significantly enhance TCO, performance and optimization of their cloud data lakes with Qubole.
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Leveraging Qubole Cost Explorer for TCO Optimization
As enterprises are today becoming more data-driven, they need to develop their financial governance muscle for data lakes.
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Inside the Brain of Cloud Data Platform Leaders - Ep. 1: Addressing GDPR & CCPA
Welcome to the first episode of Inside the Brain of Cloud Data Platform Leaders (ITB). A webinar series where we bring to you, an interactive discussion between Data Lake Platform Industry Leaders.
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Succeeding with a Cloud Data Lake - from Architecture to Operations
Learn best practices for building a cloud data lake operation, from people and tools to processes, in this webinar.
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Mastering Data Governance on Cloud Data Lakes with Multiple Engines
Qubole data privacy and integrity experts cover how to maintain data integrity and privacy of data residing in data lakes using various open-source engines.
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Mastering Data Discovery on Cloud Data Lakes
Best practices for working with different datasets, and when to use Apache Spark, Presto and other engines
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Comcast, Fanatics and MediaMath at Data Platforms 2018
Comcast, Fanatics and MediaMath discuss their successes and challenges creating a data-driven enterprises
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Introduction to Qubole: A Data Platform Built To Scale
Qubole SVP of Product Mohit Bhatnagar shares how Qubole’s cloud-native platform helps companies scale their operations, activate petabytes of data, and reach admin-to-user ratios as high as 1:200
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Leveraging Streaming and Batch Data Sets for ML Applications
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.
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Key Differences Between On-Prem and Cloud Data Platforms
Learn the key differences between on-premise and cloud solutions, benefits of cloud data lakes and data warehouses, and how to build the right architecture for your analytics and ML needs.
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How To Build Scalable Data Pipelines for Machine Learning
Common challenges faced by data engineers when building pipelines for ML and how to address them
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Data Engineering Pitfalls and How to Avoid Them
Simple, practical solutions for common challenges faced by data engineering teams
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Speed to Value: How To Justify Your Big Data Investments
How best-in-class companies are generating rapid value from big data while also managing costs
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Succeeding with Big Data Analytics and Machine Learning in The Cloud (451 Research)
451 Research covers best practices such as using automation, enabling collaboration, and financial governance
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How To Increase Value from Machine Learning and Advanced Analytics on Azure
How to modernize your architecture with data lakes and data warehouses on the cloud
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Keeping Costs Under Control When Processing Big Data in the Cloud
How to iIdentify areas of cost optimization to drive maximum performance for the lowest TCO
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Best Practices for Moving Big Data from On-Prem To The Cloud
What Cloudera, Hortonworks or MapR customers should consider when moving to a cloud-native platform
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Modern Data Engineering and The Rise of Apache Airflow
Brief introduction to Apache Airflow, its optimal use cases, and real-world examples
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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
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