Learn core Apache Kafka features along with creating Java, Node.js and Python producers and consumers
Explore the Apache Kafka ecosystem and architecture, and learn client API programming in Java
A beginner's guide to mastering real-time stream processing using Apache Kafka and Kafka Streams API
DURATION 1 DAYS 6 CPD HOURS THIS COURSE IS INTENDED FOR THE AUDIENCE FOR THIS COURSE IS INDIVIDUALS WHO WANT TO LEARN THE FUNDAMENTALS OF DATABASE CONCEPTS IN A CLOUD ENVIRONMENT, GET BASIC SKILLING IN CLOUD DATA SERVICES, AND BUILD THEIR FOUNDATIONAL KNOWLEDGE OF CLOUD DATA SERVICES WITHIN MICROSOFT AZURE. OVERVIEW DESCRIBE CORE DATA CONCEPTS IDENTIFY CONSIDERATIONS FOR RELATIONAL DATA ON AZURE DESCRIBE CONSIDERATIONS FOR WORKING WITH NON-RELATIONAL DATA ON AZURE DESCRIBE AN ANALYTICS WORKLOAD ON AZURE DESCRIPTION IN THIS COURSE, STUDENTS WILL GAIN FOUNDATIONAL KNOWLEDGE OF CORE DATA CONCEPTS AND RELATED MICROSOFT AZURE DATA SERVICES. STUDENTS WILL LEARN ABOUT CORE DATA CONCEPTS SUCH AS RELATIONAL, NON-RELATIONAL, BIG DATA, AND ANALYTICS, AND BUILD THEIR FOUNDATIONAL KNOWLEDGE OF CLOUD DATA SERVICES WITHIN MICROSOFT AZURE. STUDENTS WILL EXPLORE FUNDAMENTAL RELATIONAL DATA CONCEPTS AND RELATIONAL DATABASE SERVICES IN AZURE. THEY WILL EXPLORE AZURE STORAGE FOR NON-RELATIONAL DATA AND THE FUNDAMENTALS OF AZURE COSMOS DB. STUDENTS WILL LEARN ABOUT LARGE-SCALE DATA WAREHOUSING, REAL-TIME ANALYTICS, AND DATA VISUALIZATION. 1 - EXPLORE CORE DATA CONCEPTS * Identify data formats * Explore file storage * Explore databases * Explore transactional data processing * Explore analytical data processing 2 - EXPLORE DATA ROLES AND SERVICES * Explore job roles in the world of data * Identify data services 3 - EXPLORE FUNDAMENTAL RELATIONAL DATA CONCEPTS * Understand relational data * Understand normalization * Explore SQL * Describe database objects 4 - EXPLORE RELATIONAL DATABASE SERVICES IN AZURE * Describe Azure SQL services and capabilities * Describe Azure services for open-source databases 5 - EXPLORE AZURE STORAGE FOR NON-RELATIONAL DATA * Explore Azure blob storage * Explore Azure DataLake Storage Gen2 * Explore Azure Files * Explore Azure Tables 6 - EXPLORE FUNDAMENTALS OF AZURE COSMOS DB * Describe Azure Cosmos DB * Identify Azure Cosmos DB APIs 7 - EXPLORE FUNDAMENTALS OF LARGE-SCALE DATA WAREHOUSING * Describe data warehousing architecture * Explore data ingestion pipelines * Explore analytical data stores 8 - EXPLORE FUNDAMENTALS OF REAL-TIME ANALYTICS * Understand batch and stream processing * Explore common elements of stream processing architecture * Explore Azure Stream Analytics * Explore Apache Spark on Microsoft Azure 9 - EXPLORE FUNDAMENTALS OF DATA VISUALIZATION * Describe Power BI tools and workflow * Describe core concepts of data modeling * Describe considerations for data visualization
Through this course, you will learn how to arrange Kafka a producer and consumer and Kafka Streams and Connectors accurately. You will also gain the skills needed to coordinate Kafka with existing application stages and to pass the Apache Kafka certification exam.
APACHE TRAINING COURSE DESCRIPTION A hands on training course covering installation, configuration and management of the Apache web server. WHAT WILL YOU LEARN * Install Apache. * Configure Apache. * Manage Apache. * Build static and dynamic web sites with Apache. * Secure Apache. APACHE TRAINING COURSE DETAILS * Who will benefit: Technical staff working with Apache. * Prerequisites: TCP/IP foundation for engineers. UNIX fundamentals * Duration 3 days APACHE TRAINING COURSE CONTENTS * Installing Apache What is Apache? Apache versions, history, downloading Apache, source distribution, compilation, binary distribution, installation, platform considerations. Hands on Downloading and installing Apache. * Controlling the Apache server Running Apache, automatic Apache start, starting, stopping, restarting Apache. Checking Apache status. Hands on Server control. * Configuration Serving webpages, setting the document root, applying configuration changes, Configuration files, httpd.conf, syntax, directives, modules, utilities, turning features on/off. Hands on basic Apache configuration. * More configuration MIME, URL mapping, content negotiation, indexing, performance tuning. * Logging log file content, configuration, log file locations, error logging, browser errors, error page configuration, forbidden index pages. Hands on Log files. * Security File permissions, .htaccess, protecting files with passwords, password files, authentication, restricting access by IP address. * Secure HTTP HTTPS, installing mod_ssl, certificates, configuring mod_ssl, http and https coexistence * Virtual hosts Multiple sites on one server, separate configuration files, IP based, name based, port based, virtual host names, enabling, defining, configuring, aliases, testing, https virtual hosts. Hands on Virtual hosts. * Dynamic sites Dynamic sites, CGI, PHP, PERL, CGI programs, example CGI scripts, Apache and CGI, CGI parameters, CGI issues, PHP, mod_php, Perl and Apache, mod_perl, installing mod_perl. Hands on CGI, PHP and Perl with Apache. * Modules What are modules, standard modules, loading modules, mod_speling, mod_rewrite, other special purpose modules, URL rewriting, redirection, URL transformation, browser dependent pages. Hands on Working with modules.
A beginner-level course that follows a step-by-step approach to learning the fundamentals and core concepts of Apache Kafka 3.0. You will work through interesting activities such as programming a Twitter producer and Elasticsearch consumer to understand the various concepts.
Understanding the basics of Apache Maven through practical demonstration
This video covers the essential topics necessary for working with Apache Maven. You will understand the techniques and methods to create multi-module Apache Maven projects from scratch, along with delving into topics needed for testing and deploying Java applications.
A carefully structured advanced-level course on Apache Spark 3 to help you clear your job interviews. This course covers advanced topics and concepts that are part of the Databricks Spark certification exam. Boost your skills in Spark 3 architecture and memory management.