Build powerful applications in Java.
In this video training, Josh Long and Phil Webb demonstrate how and why Spring and Spring Boot offer the best way to build modern microservice systems. They look at the technologies and use-cases common to cloud-native microservice style applications as part of a larger framework, and then specifically address microservice implementation patterns.
If you're building relational, time series, IoT, or real-time architectures using Hadoop, you should be familiar with Apache Kudu. Kudu enables fast analytics on fast data by completing Hadoop’s storage layers, providing a new option to achieve fast scans and fast random access from a single API. This Learning Path introduces you to Apache Kudu, exploring what it is, when to use it, and how to use it in conjunction with popular Hadoop ecosystem tools. You’ll apply this knowledge by building and running a real-time analytical application using Kudu, Impala, Kafka, and Spark.
If you need to understand how to query relational databases, this Learning Path will get you up and running quickly. Commands, joins, and views are the most fundamental elements of SQL (Structured Query Language) and with them you can make powerful insights into your data. In the just an hour and a half, you will learn how to use SQL to manage data that is held in relational databases. This Learning Path is designed for beginners who have no previous experience with SQL of any kind. Working files are included, allowing you to follow along with the instructor.
SpaCy, a fast, user-friendly library for teaching computers to understand text, simplifies NLP techniques, such as speech tagging and syntactic dependencies, so you can easily extract information, attributes, and objects from massive amounts of text to then document, measure, and analyze. This Learning Path is a hands-on introduction to using SpaCy to discover insights through natural language processing. While end-to-end natural language processing solutions can be complex, you’ll learn the linguistics, algorithms, and machine learning skills to get the job done.
Whether you’re a programmer with little to no knowledge of Python, or an experienced data scientist or engineer, this Learning Path will walk you through natural language processing, using both Python and Scala, and show you how to implement a range of popular tools including Spark, scikit-learn, SpaCy, NLTK, and gensim for text mining.
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