This is an intermediate course focused on searching Kibana using the Lucene Query Syntax. This course will teach you how to perform complex searches in Kibana using Apache Lucene Query Syntax.

Perform operations on multiple items in single logical units of work.

Learn how to perform data analysis using Azure Databricks. Explore various data ingestion methods and how to integrate data from sources like Azure Data Lake and Azure SQL Database. This module guides you through using collaborative notebooks to perform exploratory data analysis (EDA), so you can visualize, manipulate, and examine data to uncover patterns, anomalies, and correlations.

Apache Spark is a highly scalable distributed processing solution for big data analytics and transformation. You can leverage its power in Azure Synapse Analytics by using Spark pools.

Learn how to perform DevOps practices on IBM Cloud. Discover tools and services for automating deployments, managing infrastructure, and scaling cloud applications.

Learn how to perform hyperparameter tuning with a sweep job in Azure Machine Learning.

You explore different features and tools to help you understand and work with incremental processing with spark structured streaming.

Any software application needs to be maintained over the long run. Elasticsearch Index is no different. This course will teach you the strategies and techniques you can follow to keep your index perform optimally, and your queries run faster.

Understanding the core features of a product is vital to leverage its fullest potential. This course will teach you to effectively search and visualize data by saving and sharing them with proper access across your organization.

This course reviews when and how an Operational Readiness Review should be performed on IBM Cloud, along with SRE responsibilities.

Use powerful helper methods to manipulate and control the content of arrays.

Learn to perform post-installation configuration of Windows Server by using several methods and tools.