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Online activities, mobile devices, and Internet of Things (IoT) sensors are generating immense volum ...
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Many data scientists know how to work with SQL-the industry-standard language for data analysis. But ...
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There is an increasing need for data scientists and analysts to understand relational data stores. O ...
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Learn how to use SQL to understand the characteristics of data sets destined for data science and ma ...
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Descriptive statistics help us understand the overall structure of data, and SQL is the most widely ...
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Many applications require a relational database. But poorly designed data architecture and poorly wr ...
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Data scientists create data models that need to run in production environments. Many DevOps practice ...
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Explore DataFrames, a widely used data structure in Apache Spark. DataFrames allow Spark developers ...
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Time series data is data gathered over time: performance metrics, user interactions, and information ...
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SQL queries can be fast and highly efficient, but they can also be slow and demand excessive CPU and ...
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Machine learning models often run in complex production environments that can adapt to the ebb and f ...
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Many organizations are turning to NoSQL databases to store large volumes of complex data, sparking a ...
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Apache Cassandra is a NoSQL database capable of handling large amounts of data that change rapidly. ...
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Apache Spark is one of the most widely used and supported open-source tools for machine learning and ...
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There is an increasing need for data scientists and analysts to understand relational data stores. O ...
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Discover how to leverage Scala-the popular language that combines object-oriented design with functi ...
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