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Marketing Analytics: The Foundation of a Data-Driven Business
Learn about marketing analytics, the combined processes CMOs and other marketing professionals use to measure marketing program success and value.
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Data Lake Best Practices
Traditional data lake best practices treated the data lakes as standalone repositories. Today it is no longer necessary to think about data in terms of existing separate systems.
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Data Lake: A Definition
A data lake is an unstructured repository of unprocessed data, stored without organization or hierarchy, allowing for general storage of all types of data, from all sources. Learn more.
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What is a Logical Data Warehouse?
A logical data warehouse (LDW) is an architecture layer that rests on top of persisted data and allows viewing data without transformation.
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Big Data Application
The big data application are a growing requirement for businesses in a wide range of industries, from healthcare to finance to tech and retail.
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Parquet Tools
Parquet tools can improve efficiency and effectiveness in analyzing certain data sets.
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The Role of a Machine Learning Pipeline in the ML Lifecycle
The machine learning (ML) pipeline is an integrated, end-to-end workflow for developing machine learning models.
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Machine Learning Engineer vs. Data Scientist
Machine learning engineers vs data scientist. What is the difference? It starts with the specialization of ML engineers and the continued importance of data science.
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Spark Machine Learning
Spark machine learning provides a powerful ecosystem for ML and predictive analytics using popular tools and languages.
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