KNIME Analytics Platform for BI Training Course

Audience

This course is ideal for you if you are trying to interpret the data at your disposal or wish to analyze unstructured data available online (such as from Twitter and LinkedIn).

It primarily targets decision-makers and individuals who must determine which data is valuable to collect and analyze.

While it is not specifically designed for those configuring solutions, they can still gain a comprehensive understanding of the big picture.

Delivery Mode

Throughout the course, participants will be shown practical examples using mostly open-source technologies.

Brief lectures will be complemented by presentations and straightforward exercises led by the attendees.

Content and Software Used

The software utilized in this course is updated with each session to ensure we are working with the latest versions available.

The curriculum encompasses the entire process from acquiring, formatting, processing, and analyzing data, to automating decision-making processes through machine learning.

This course is designed for software 10.5 users. Learn how to accelerate Data Engineering Integration through large data ingestion, incremental loading, transformations, complex file processing, dynamic mappings, and Python scripting. Discover methods to reuse application logic in Data Engineering scenarios while focusing on monitoring, troubleshooting, and best practices.

Objectives

Upon successful completion of this course, participants will be able to:

• Ingest large volumes of data into Hive and HDFS
• Conduct incremental loads within mass ingestion processes
• Handle both initial and subsequent incremental data loads
• Integrate with relational databases using SQOOP
• Execute transformations across different engines
• Run mappings via JDBC in Spark mode
• Implement stateful computing and windowing techniques
• Process complex file formats
• Analyze hierarchical data on the Spark engine
• Configure profiles and select sampling options on the Spark engine
• Utilize Dynamic Mappings effectively
• Generate Audits for Mappings
• Monitor logs through REST Operations Hub
• Use Log Aggregation to monitor logs and troubleshoot issues
• Operate mappings within the Databricks environment
• Create mappings to access Delta Lake tables
• Optimize performance for Spark and Databricks jobs

The course can utilize various tools, including free open-source data mining software and applications.

The KNIME Analytics Platform is a premier open-source solution for data-driven innovation in the UAE. It assists you in uncovering hidden potential within your datasets, discovering new insights, and predicting future trends. Featuring over 1000 modules, numerous pre-configured examples, an extensive suite of integrated tools, and the most advanced algorithms available, KNIME Analytics Platform serves as a comprehensive toolkit for data scientists and business analysts.

This course on KNIME Analytics Platform offers an excellent chance for beginners, experienced users, and KNIME experts to familiarize themselves with the platform, enhance their skills in using it effectively, and develop clear, detailed reports based on KNIME workflows.

Designed as instructor-led training (either online or at your location), this course is aimed at data professionals looking to leverage KNIME for addressing intricate business challenges.

The target audience includes individuals with no programming background who wish to utilize state-of-the-art tools for implementing analytics solutions.

Upon completion of the training, participants will be able to:

• Install and set up KNIME.
• Create Data Science scenarios.
• Train, test, and validate models.
• Implement a complete data science model value chain from start to finish.

Course Structure

• Engaging lectures and discussions.
• A plethora of exercises and practice sessions.
• Hands-on implementation in a live-lab setting.

Customization Options for the Course

• To request customized training or to learn more about this program, please contact us to schedule a discussion.

This instructor-led, live training in the UAE (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME.

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

• Plan, build, and deploy machine learning models in KNIME.
• Make data driven decisions for operations.
• Implement end to end data science projects.

This instructor-led, live training in the UAE (online or onsite) is aimed at sysadmins and developers who wish to set up, deploy, and manage Oracle GoldenGate for data transformation.

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

• Install and configure Oracle GoldenGate.
• Understand Oracle databases replication using the Oracle GoldenGate tool.
• Understand the Oracle GoldenGate architecture.
• Configure and perform a database replication and migration.
• Optimize Oracle GoldenGate performance and troubleshoot issues.

The Pentaho Open Source BI Suite Community Edition (CE) is a comprehensive business intelligence solution that offers data integration, reporting, dashboard creation, and loading capabilities.

During this instructor-led live session, participants will gain expertise in leveraging the functionalities of the Pentaho Open Source BI Suite Community Edition (CE).

By the conclusion of the training, attendees will be able to:

• Install and set up Pentaho Open Source BI Suite Community Edition (CE)
• Grasp the basic concepts and features of Pentaho CE tools
• Create reports with Pentaho CE
• Merge third-party data into Pentaho CE
• Handle big data and analytics within Pentaho CE

Audience

• Software Developers
• BI Professionals

Course Format

• The course includes lectures, discussions, exercises, and extensive hands-on practice.

Note

• To customize this training to your needs, please contact us for arrangements.

Pentaho Data Integration is an open-source tool designed for defining jobs and data transformations.

In this instructor-led live training session, participants will learn to leverage Pentaho Data Integration's robust ETL capabilities and user-friendly interface to manage the entire big data lifecycle and maximize the value of their organization’s data.

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

• Create, preview, and execute basic data transformations that include steps and hops
• Set up and secure the Pentaho Enterprise Repository
• Integrate diverse data sources and produce a single, unified version of the truth in an analytics-ready format.
• Supply results to third-party applications for additional processing

Audience

• Data Analysts
• ETL Developers

Format of the course

• The course includes lectures, discussions, exercises, and extensive hands-on practice.

Sensor Fusion involves combining and integrating data from various sensors to offer a more precise, dependable, and contextually rich perspective on the information gathered.

Implementing Sensor Fusion necessitates algorithms designed to filter and integrate diverse data sources.

Audience

This course is aimed at engineers, programmers, and architects working with multi-sensor systems.

Objective:

Achieving independent proficiency in using SPSS

Target Audience:

This course is designed for analysts, researchers, scientists, students, and anyone else interested in mastering the SPSS software package and gaining knowledge of widely-used data mining techniques.

This instructor-led, live training in the UAE (online or onsite) is aimed at system administrators, data scientists, and business analysts who wish to set up Talend Administration Center to deploy and manage the organization's roles and tasks.

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

• Install and configure Talend Administration Center.
• Understand and implement Talend management fundamentals.
• Build, deploy, and run business projects or tasks in Talend.
• Monitor the security of datasets and develop business routines based on the TAC framework.
• Obtain a broader comprehension of big data applications.

This instructor-led, live training in the UAE (online or onsite) is aimed at technical persons who wish to deploy Talend Open Studio for Big Data to simplifying the process of reading and crunching through Big Data.

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

• Install and configure Talend Open Studio for Big Data.
• Connect with Big Data systems such as Cloudera, HortonWorks, MapR, Amazon EMR and Apache.
• Understand and set up Open Studio's big data components and connectors.
• Configure parameters to automatically generate MapReduce code.
• Use Open Studio's drag-and-drop interface to run Hadoop jobs.
• Prototype big data pipelines.
• Automate big data integration projects.

This instructor-led, live training in the UAE (online or onsite) is aimed at data administrators and developers who wish to manage, monitor, and operate data integration processes using Talend Cloud services.

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

• Navigate the Talend Management Console to manage users and roles in the platform.
• Evaluate data to find and understand relevant datasets.
• Create a pipeline to process and monitor data at rest or in action.
• Prepare data for analysis to generate insights relevant to the business.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner to intermediate-level data analysts who wish to deepen their understanding and skills in managing and improving data quality using Talend Data Stewardship.

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

• Gain a comprehensive understanding of the role of data stewardship in maintaining data quality.
• Use Talend Data Stewardship for managing data quality tasks.
• Create, assign, and manage tasks within Talend Data Stewardship, including workflow customization.
• Use the tool's reporting and monitoring capabilities to track data quality and stewardship efforts.

In this instructor-led, live training in the UAE, participants will learn how to use Talend Open Studio for ESB to create, connect, mediate and manage services and their interactions.

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

• Integrate, enhance and deliver ESB technologies as single packages in a variety of deployment environments.
• Understand and utilize Talend Open Studio's most used components.
• Integrate any application, database, API, or Web services.
• Seamlessly integrate heterogeneous systems and applications.
• Embed existing Java code libraries to extend projects.
• Leverage community components and code to extend projects.
• Rapidly integrate systems, applications and data sources within a drag-and-drop Eclipse environment.
• Reduce development time and maintenance costs by generating optimized, reusable code.