Taming Big Data con Spark Streaming y Scala - Hands On!
Taming Big Data con Spark Streaming y Scala – Hands On!. Aprender a procesar corrientes masivas de datos en tiempo real en un clúster con Spark Streaming.
No te pierdas este fabuloso curso online llamado Taming Big Data con Spark Streaming y Scala – Hands On!. Es 100% online y comenzarás justo en el momento de matricularte. Tú serás el que marques tu propio ritmo de aprendizaje.
Breve descripción del curso llamado Taming Big Data con Spark Streaming y Scala – Hands On!
Aprender a procesar corrientes masivas de datos en tiempo real en un clúster con Spark Streaming.
El profesor de este fabuloso curso 100% online es Frank Kane, un auténtico experto en la materia, y con el que aprenderás todo lo necesario para ser más competitivo. El curso se ofrece en Inglés con subtítulos.
Descripción completa del curso llamado Taming Big Data con Spark Streaming y Scala – Hands On!
Course Description “Big Data” analysis is a hot and highly valuable skill. Thing is, “big data” never stops flowing! Spark Streaming is a new and quickly developing technology for processing massive data sets as they are created – why wait for some nightly analysis to run when you can constantly update your analysis in real time, all the time? Whether it’s clickstream data from a big website, sensor data from a massive “Internet of Things” deployment, financial data, or something else – Spark Streaming is a powerful technology for transforming and analyzing that data right when it is created, all the time. You’ll be learning from an ex-engineer and senior manager from Amazon and IMDb. This course gets your hands on to some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models! You’ll write and run real Spark Streaming jobs right at home on your own PC, and toward the end of the course, we’ll show you how to take those jobs to a real Hadoop cluster and run them in a production environment too. Across over 30 lectures and almost 6 hours of video content, you’ll: Get a crash course in the Scala programming languageLearn how Apache Spark operates on a clusterSet up discretized streams with Spark Streaming and transform them as data is receivedAnalyze streaming data over sliding windows of timeMaintain stateful information across streams of dataConnect Spark Streaming with highly scalable sources of data, including Kafka, Flume, and KinesisDump streams of data in real-time to NoSQL databases such as CassandraRun SQL queries on streamed data in real timeTrain machine learning models in real time with streaming data, and use them to make predictions that keep getting better over timePackage, deploy, and run self-contained Spark Streaming code to a real Hadoop cluser using Amazon Elastic MapReduce. This course is very hands-on, filled with achievable activities and exercises to reinforce your learning. By the end of this course, you’ll be confidently creating Spark Streaming scripts in Scala, and be prepared to tackle massive streams of data in a whole new way. You’ll be surprised at how easy Spark Streaming makes it!