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A data lake, where data is stored in an open format and accessed through open standards-based interfaces, is defined as an Open Data Lake.
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
Tips for when to use Presto versus Apache Spark, and how to enable self-service access to your data lake
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
Deep dive into the use cases for Apache Spark on Qubole, including ETL and machine learning
Benefits of migrating to a cloud-native data lake and how to choose the right data architecture
Why a unified experience with native notebooks, a command workbench, and integrated Apache Airflow are a must.
A comprehensive guide to understand effective financial governance
The benefits of a single cloud platform and centralized access to data
Best practices for data collaboration and data lake access using SQL
Best practices for building a cloud data lake operation—from people and tools to processes
Technical overview of Qubole's HiveServer2 solution that distributes memory-intensive processes and enables scalability
The best tool for every task in the data science life cycle — in a single, cloud-native platform