Agile Data Science 2.0: Building Full-Stack Data Analytics by Russell Jurney

By Russell Jurney

Data technology groups seeking to flip examine into important analytics functions require not just the fitting instruments, but in addition definitely the right process if they’re to be successful. With the revised moment variation of this hands-on consultant, up-and-coming information scientists will how to use the Agile information technology improvement method to construct information purposes with Python, Apache Spark, Kafka, and different tools.

Author Russell Jurney demonstrates tips to compose a knowledge platform for construction, deploying, and refining analytics functions with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow. You’ll examine an iterative method that allows you to quick swap the type of research you’re doing, counting on what the knowledge is telling you. put up information technology paintings as an internet program, and have an effect on significant swap on your organization.

  • Build worth out of your information in a chain of agile sprints, utilizing the data-value pyramid
  • Extract positive factors for statistical types from a unmarried dataset
  • Visualize information with charts, and reveal various elements via interactive reports
  • Use ancient facts to foretell the long run through type and regression
  • Translate predictions into actions
  • Get suggestions from clients after each one dash to maintain your undertaking on track

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