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Online activities, mobile devices, and Internet of Things (IoT) sensors are generating immense volum ...

Many data scientists know how to work with SQL-the industry-standard language for data analysis. But ...

There is an increasing need for data scientists and analysts to understand relational data stores. O ...

Learn how to use SQL to understand the characteristics of data sets destined for data science and ma ...

Descriptive statistics help us understand the overall structure of data, and SQL is the most widely  ...

Many applications require a relational database. But poorly designed data architecture and poorly wr ...

Data scientists create data models that need to run in production environments. Many DevOps practice ...

Explore DataFrames, a widely used data structure in Apache Spark. DataFrames allow Spark developers  ...

Time series data is data gathered over time: performance metrics, user interactions, and information ...

SQL queries can be fast and highly efficient, but they can also be slow and demand excessive CPU and ...

Machine learning models often run in complex production environments that can adapt to the ebb and f ...

Many organizations are turning to NoSQL databases to store large volumes of complex data, sparking a ...

Apache Cassandra is a NoSQL database capable of handling large amounts of data that change rapidly.  ...

Apache Spark is one of the most widely used and supported open-source tools for machine learning and ...

There is an increasing need for data scientists and analysts to understand relational data stores. O ...

Discover how to leverage Scala-the popular language that combines object-oriented design with functi ...