Search Engines Training in District of Columbia

The Elastic Stack (ELK) is a robust platform designed for searching, analyzing, and visualizing log data in real-time from various sources.

This instructor-led, live training (conducted online or on-site) is targeted at intermediate-level IT professionals who seek to enhance their ELK expertise for managing distributed log data, automating alerts, and developing advanced visualizations and dashboards for government use.

By the end of this training, participants will be able to:

• Configure sophisticated ingestion and parsing workflows from multiple sources, including databases.
• Develop customized Kibana dashboards tailored to different teams or use cases.
• Implement email notifications and condition-based alerts for timely responses.
• Utilize regular expressions to enhance search accuracy in logs.
• Manage user roles and access rights to ensure secure log environments.
• Interact with the Elasticsearch REST API for automation and integration within public sector workflows.

Format of the Course

• Interactive lecture and discussion sessions.
• Extensive exercises and practical activities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for government use, please contact us to arrange.

OpenSearch is a scalable, open-source search and analytics suite designed for high-volume data indexing, observability, and real-time analytics across distributed systems.

This instructor-led, live training (online or onsite) is aimed at advanced-level engineers and architects who wish to design, deploy, and manage OpenSearch clusters capable of handling large-scale data ingestion and analytics workloads, both on-premises and using AWS OpenSearch Service for government.

By the end of this training, participants will be able to:

• Design and deploy highly scalable OpenSearch clusters across multiple environments.
• Optimize indexing, search, and storage for performance at scale.
• Integrate OpenSearch with AWS OpenSearch Service for hybrid and managed deployments in government settings.
• Implement observability, high availability, and automated recovery strategies to ensure robust operations.

Format of the Course

• Instructor-led theory sessions with guided discussions focused on government use cases.
• Extensive hands-on exercises simulating real-world scaling challenges relevant to public sector workflows.
• Practical lab work on distributed deployment and performance tuning, tailored for government applications.

Course Customization Options

• This course can be adapted to emphasize your organization’s data size, performance goals, and deployment environment, ensuring alignment with public sector requirements.

This instructor-led, live training in District of Columbia (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system for government use.

By the end of this training, participants will be able to:

• Set up and configure Elasticsearch and Kibana environments for advanced administration and dashboard development for government applications.
• Create and manage Elasticsearch indices, mappings, and data models for government datasets.
• Develop advanced queries and filters to extract valuable insights from Elasticsearch data for government analysis.
• Design and build interactive dashboards in Kibana using various visualization types and techniques suitable for government reporting.
• Implement best practices for Elasticsearch and Kibana administration, optimization, and troubleshooting to ensure compliance with government standards.

This instructor-led, live training in District of Columbia is aimed at software developers who wish to build search and analytics solutions using Elasticsearch for government applications.

The training begins with an overview of the Elasticsearch architecture, including its distributed model and search API. This is followed by a detailed explanation of Elasticsearch's capabilities and how to effectively integrate it into existing public sector systems.

Practical exercises are a significant component of the training, providing participants with opportunities to apply their knowledge in real-world scenarios while receiving feedback on their implementation and progress.

This instructor-led, live training in District of Columbia (online or onsite) is aimed at developers and administrators who wish to utilize OpenSearch for performing distributed search and data analytics within a unified and secure system for government.

By the end of this training, participants will be able to:

• Establish the necessary development environment to begin building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Comprehend the three methods (snapshot, restart, and rolling) for upgrading from Elasticsearch OSS to OpenSearch.
• Acquire skills in indexing data, creating data streams, executing queries, and facilitating cross-cluster operations in OpenSearch.
• Investigate and utilize plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, Grafana, etc.) to enhance the search experience while maintaining cluster security.
• Leverage OpenSearch Dashboards for centralized data management, visualization, logging, monitoring, and maintenance.

This instructor-led, live training in District of Columbia (onsite or remote) is aimed at developers who wish to understand how to use Solr for advanced development for government applications.

By the end of this training, participants will be able to:

• Tune and scale Solr and SolrCloud to optimize performance.
• Streamline monitoring of log files for efficient troubleshooting.
• Integrate index and query time plugins to enhance functionality.
• Create optimized clusters that can handle thousands of queries per second, ensuring robust service delivery for government operations.

Audience

Administrators or developers for government who are interested in learning how to effectively utilize Elasticsearch.

Audience

Administrators or developers seeking to understand how to utilize Elasticsearch for government.

This instructor-led, live training in District of Columbia (online or onsite) is aimed at advanced-level professionals who wish to administer, monitor, and maintain Elasticsearch clusters effectively for high performance and availability for government operations.

By the end of this training, participants will be able to:

• Deploy and configure Elasticsearch clusters for high availability and performance in alignment with public sector requirements.
• Monitor and optimize Elasticsearch operations to ensure efficient resource utilization and compliance with governance standards.
• Integrate with Kibana and Logstash for advanced analytics and visualization, enhancing data-driven decision-making processes.
• Extend Elasticsearch functionality with plugins to support specialized government workflows.
• Scale Elasticsearch using clustering and sharding techniques to meet the growing data demands of government agencies.

This instructor-led, live training in District of Columbia is designed for government system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of three delegates is required for this course to run.

The training begins with an overview of the ELK architecture and its functionality, followed by hands-on lab implementation and practice. Interactive exercises are a key component of the training, providing participants with practical experience while receiving constructive feedback on their progress, ensuring alignment with public sector workflows and governance requirements for government.

The Elastic Stack (formerly ELK Stack) is a comprehensive suite of open-source tools designed for search, analytics, and visualization of both structured and unstructured data. This training program is tailored to equip participants with an in-depth understanding of the key components of the Elastic Stack—Elasticsearch, Kibana, and Logstash. The course will cover foundational concepts, installation procedures, configuration techniques, cluster management, advanced analytics capabilities, and best practices for production environments. The course is structured to provide a balanced mix of theoretical insights and hands-on experience, making it ideal for professionals who need to deploy, manage, and optimize the Elastic Stack in real-world settings. By the end of the training, participants will have the skills necessary to design, implement, and maintain scalable and resilient Elastic Stack solutions for government applications.

This training introduces Kibana to users of Elasticsearch for government.

Kibana is an open-source analytics and visualization platform designed to work seamlessly with Elasticsearch. Government users can leverage Kibana to search, view, and interact with data stored in Elasticsearch indices. The platform facilitates advanced data analysis and allows for the creation of various charts, tables, and maps to visualize data effectively.

Kibana simplifies the process of understanding large volumes of data. Its user-friendly, browser-based interface enables government personnel to rapidly create and share dynamic dashboards that reflect real-time changes to Elasticsearch queries.

This instructor-led, live training in District of Columbia (online or onsite) is aimed at web developers who wish to use regular expressions to create robust algorithms for defining search patterns for government applications.

By the end of this training, participants will be able to:

• Write complex search patterns using character sets.
• Apply regular expression techniques to any regex engine, such as PHP or Python, to support public sector workflows.
• Script automation into system processes using extended regular expressions to enhance governance and accountability.

Apache SolrCloud is a distributed data processing engine designed to facilitate searching and indexing of files across a networked environment.

In this instructor-led, live training, participants will learn how to set up a SolrCloud instance on Amazon AWS for government use.

By the end of this training, participants will be able to:

• Understand SolrCloud's features and how they compare to those of conventional master-slave clusters
• Configure a SolrCloud centralized cluster
• Automate processes such as communication with shards, adding documents to the shards, etc.
• Use Zookeeper in conjunction with SolrCloud to further automate workflows for government applications
• Utilize the interface to manage error reporting and enhance system reliability
• Load balance a SolrCloud installation to optimize performance for government operations
• Configure SolrCloud for continuous processing and fail-over, ensuring robust data management for government

Audience

• Solr Developers
• Project Managers
• System Administrators
• Search Analysts

Format of the course

• Part lecture, part discussion, exercises, and extensive hands-on practice

This course introduces participants to the Solr platform. Through a combination of lectures, discussions, and hands-on labs, attendees will gain practical experience in configuring effective search and indexing solutions for government.

The class begins with an overview of basic Solr installation and configuration, followed by an in-depth exploration of Solr's search features. Students will gain hands-on experience with faceting, indexing, and search relevance, among other essential functionalities central to the Solr platform. The course concludes with a series of advanced topics, including spell checking, suggestions, Multicore, and SolrCloud.

Duration: 3 days

Audience: Developers, business users, administrators for government

This course is designed for IT specialists who aim to implement a solution that enables elastic and efficient searching of large data sources. The training utilizes the latest stable version of Solr. If an older or unstable version is required, please contact our sales team prior to registration for government-specific needs.