In the fast-evolving world of big data, the ability to process streaming data in real time is essential. This course is meticulously designed to take you from the basics of Spark and Scala to advanced real-time data processing with Spark Streaming. We begin with a foundational setup of your development environment, ensuring you are equipped to run Spark and Scala on your desktop. A hands-on activity will introduce you to the excitement of live data by streaming and analyzing real-time Tweets.
Streaming Big Data with Spark Streaming, Scala, and Spark 3!
Dozent: Packt - Course Instructors
Bei enthalten
Empfohlene Erfahrung
Was Sie lernen werden
Identify key components of the Spark and Scala development environment.
Explain the core concepts of Scala and Spark, including Resilient Distributed Datasets (RDDs) and windowing mechanisms.
Differentiate between various data integration techniques with Spark Streaming, such as Kafka, Flume, and Cassandra.
Assess the performance and reliability of Spark Streaming applications in production environments.
Kompetenzen, die Sie erwerben
- Kategorie: Spark Streaming
- Kategorie: spark streaming
- Kategorie: fast data
- Kategorie: Apache spark
- Kategorie: big data
- Kategorie: Big Data
- Kategorie: Scala
- Kategorie: Apache Spark
Wichtige Details
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Oktober 2024
4 Aufgaben
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In diesem Kurs gibt es 9 Module
In this module, we will introduce you to the course, guide you through setting up your development environment, and ensure that Spark and Scala are installed correctly on your system. You will also dive into a hands-on activity where you will stream live Tweets using Spark Streaming.
Das ist alles enthalten
2 Videos1 Lektüre
In this module, we will dive into the fundamentals of Scala, starting with the basics like variables and flow control. You’ll then progress to functions and essential data structures, equipping you with the Scala knowledge necessary to work effectively with Spark.
Das ist alles enthalten
4 Videos
In this module, we will build upon your knowledge of Spark and introduce you to Spark Streaming in detail. You'll explore key concepts like RDDs, windowing, and fault tolerance while running hands-on activities that solidify your understanding of real-time data processing.
Das ist alles enthalten
7 Videos1 Aufgabe
In this module, we will apply Spark Streaming to real-world scenarios using Twitter data. You'll progress from saving tweets to disk, to computing tweet statistics like average length, and finally, tracking trending hashtags in real-time, providing practical insights into Spark Streaming's capabilities.
Das ist alles enthalten
3 Videos
In this module, we will dive into practical examples of Spark Streaming with Apache access logs and clickstream data. You'll learn to track popular URLs, monitor errors, integrate Spark Streaming with SQL, and explore Structured Streaming to analyze logs in real time, giving you a robust toolkit for handling streaming data.
Das ist alles enthalten
5 Videos
In this module, we will explore how to integrate Spark Streaming with various external systems like Apache Kafka, Apache Flume, Amazon Kinesis, and Cassandra. You’ll also learn how to create custom data receivers for proprietary systems, giving you the skills to connect Spark Streaming with almost any data source.
Das ist alles enthalten
5 Videos1 Aufgabe
In this module, we will delve into advanced Spark Streaming concepts, focusing on stateful information processing and the integration of machine learning techniques like K-means clustering and linear regression. You'll gain hands-on experience with these powerful tools, enabling you to build sophisticated real-time data processing applications.
Das ist alles enthalten
3 Videos
In this module, we will take your Spark Streaming applications to production, covering the essentials of packaging, deploying, and running your code on real clusters. You'll learn how to manage dependencies with SBT, deploy on Amazon EMR, and troubleshoot and optimize your jobs for reliable, high-performance operation in a production environment.
Das ist alles enthalten
4 Videos1 Aufgabe
In this module, we will offer you guidance on how to continue your learning journey with Spark Streaming, including valuable resources and next steps. You'll also reflect on your progress and plan how to integrate your newfound knowledge into real-world applications.
Das ist alles enthalten
1 Video1 Aufgabe
Dozent
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Häufig gestellte Fragen
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