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  • 1 Day SPVC

    AWS Lambda is an event-driven, serverless compute service that lets you run code without provisioning or managing servers. This course focuses on what you need to start building Lambda functions and serverless applications.

    You learn how AWS Lambda works and how to write and configure Lambda functions. You explore deployment and testing considerations and finally end with a discussion on monitoring and troubleshooting Lambda functions.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days SPVC

    Revolutionize your organization with machine learning on Amazon Web Services (AWS).

    This DTPE-AWS-MLC: Machine Learning in the Cloud with AWS Batch course describes how to run and accelerate your machine learning applications in the cloud using AWS Batch. AWS Batch is a fully managed service that enables you to easily and efficiently run batch computing jobs on AWS.

    This course provides an introduction to AWS Batch, explains the main components of the service, and reviews a few examples of batch processing architectures.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days SPVC

    Whether you are thinking of migrating to the AWS Cloud or already have a workload running on AWS, securing your data and resources should be at the top of the list. This course introduces several AWS services that you can use to improve your current security posture.

    The course covers the different security design principles that will help you to plan your security approach in the AWS Cloud and provides information on resources you can use to further your knowledge around security on AWS.

    • Course level: Fundamental
    • Delivery method: Presentation
    • Duration: 50 minutes

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days SPVC

    This DTPE-AWS-WA: AWS Well-Architected digital course teaches our customers about the AWS Well-Architected Framework to understand how they can make informed decisions about their architecture in a cloud-native way and understand the impact of design decisions.

    By using the Well-Architected Framework, customers can understand the risks in their architecture, and learn ways to mitigate them.

    Activities: This course includes digital training, videos, and assessments.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 2 Days ILT, VILT

    IBM Open Platform (IOP) with Apache Hadoop is the first premiere collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies. The Open Data Platform initiative (ODP) is a shared industry effort focused on promoting and advancing the state of Apache Hadoop and Big Data technologies for the enterprise. The current ecosystem is challenged and slowed by fragmented and duplicated efforts between different groups. The ODP Core will take the guesswork out of the process and accelerate many use cases by running on a common platform. It allows enterprises to focus on building business driven applications.

    This module provides an in-depth introduction to the main components of the ODP core –namely Apache Hadoop (inclusive of HDFS, YARN, and MapReduce) and Apache Ambari — as well as providing a treatment of the main open-source components that are generally made available with the ODP core in a production Hadoop cluster.

  • 3 Days SPVC

    This DW613G: IBM BigInsights Foundation training course is for those who want a foundation of IBM BigInsights. This course consists of two separate modules.

    The first module is IBM BigInsights Overview and it will give you an overview of IBM’s big data strategy as well as a why it is important to understand and use big data. It will cover IBM BigInsights as a platform for managing and gaining insights from your big data. As such, you will see how the BigInsights have aligned their offerings to better suit your needs with the IBM Open Platform (IOP) along with the three specialized modules with value-add that sits on top of the IOP. Along with that, you will get an introduction to the BigInsights value-add including Big SQL, BigSheets, and Big R.

    The second module is IBM Open Platform with Apache Hadoop. IBM Open Platform (IOP) with Apache Hadoop is the first premiere collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies. The Open Data Platform initiative (ODP) is a shared industry effort focused on promoting and advancing the state of Apache Hadoop and Big Data technologies for the enterprise. The current ecosystem is challenged and slowed by fragmented and duplicated efforts between different groups. The ODP Core will take the guesswork out of the process and accelerate many use cases by running on a common platform. It allows enterprises to focus on building business driven applications.

    This module provides an in-depth introduction to the main components of the ODP core –namely Apache Hadoop (inclusive of HDFS, YARN, and MapReduce) and Apache Ambari — as well as providing a treatment of the main open-source components that are generally made available with the ODP core in a production Hadoop cluster.

    IBM BigInsights v4 itself is built upon the ODP core and these other main open-source components.The relationships between the IBM Open Platform with Apache Hadoop and the BigInsights add-ons is covered briefly in Unit 1 – pro.

  • 1 Day ILT, VILT

    This course is designed to introduce you to the capabilities of BigSheets. BigSheets is a component of IBM BigInsights through the Analyst and the Data Scientist module. It provides the analyst the ability to be able to visualize and analyze data stored on the HDFS using a spreadsheet type interface without any programming.

  • 1 Day SPVC

    Learn how to use IBM BigInsights Text Analytics, an information extraction system, to extract information from unstructured and semi-structured documents.

    Using IBM BigInsights Text Analytics you can create extractors using a visual web interface. The visual extractors are then automatically translated into Annotation Query Language (AQL) rules to extract structured information from unstructured and semi-structured documents. You can apply Text Analytics to big data at rest in IBM BigInsights and big data in motion in IBM Streams.

  • 2 Days ILT, VILT

    After successfully completing the EXIN Lean IT Foundation exam, a candidate will be familiar with the principles of the Lean philosophy and in particular with the application of this philosophy within an IT environment. Specifically, the candidate should understand:

    • The principles underlying the Lean philosophy
    • The importance of understanding and delivering customer value
    • The way Lean looks at processes and the waste within them
    • How to measure performance and the key determinants of performance
    • What the organizational requirements are when implementing Lean, including the use of visual management tools
    • Which behavior and attitude is necessary for Lean to be successful within an IT organization
    • The DMAIC problem-solving model
    • How these Lean principles can be applied within an IT organization

    EXIN Lean IT Foundation helps IT organizations to ensure that they provide their customers with the best possible services. Through understanding customer value, the processes that deliver this value, the way to manage performance, the way to organize and the required attitude and behavior, IT organizations are helped to develop a continuous improvement mindset. Lean IT is complementary to all other best practice methods. The purpose of EXIN Lean IT Foundation is to confirm that a candidate has sufficient knowledge and understanding of Lean IT to support a Lean initiative within an IT organization.

  • 1 Day ILT, VILT

    EXIN Privacy & Data Protection Essentials (PDPE) is a certification that validates a professional’s knowledge about organizing the protection of personal data, the EU rules and regulations regarding data protection.

    Wherever personal data is collected, stored, used, and finally deleted or destroyed, privacy concerns arise. With the EU General Data Protection Regulation (GDPR) the Council of the European Union aims to strengthen and unify data protection for all individuals within the European Union (EU). This regulation affects every organization that processes personal data of EU citizens. The EXIN Privacy & Data Protection Essentials certification covers the main subjects related to the GDPR, which should be known by everyone working with personal data.

    The new standard in the ISO/IEC 27000 series: ISO/IEC 27701:2019 Security Techniques – Extension to ISO/IEC 27001 and ISO/IEC 27002 for Privacy Information Management – Requirements and Guidelines is useful for organizations that want to show compliance with the GDPR. The content of the new ISO standard helps fulfill the GDPR obligations to organizations regarding the processing of personal data.

    Neither the GDPR nor the ISO standard are exam literature. However, the literature matrix in Chapter 4 is designed to show the link between the exam requirements, the literature, the GDPR and the ISO/IEC 27701:2019 standard to give the certification a broader context.

  • 2 Days ILT, VILT

    EXIN Privacy & Data Protection Foundation (PDPF) is a certification that validates a professional’s knowledge and understanding of the protection of personal data, the EU rules and regulations regarding data protection.

    Wherever personal data is collected, stored, used, and finally deleted or destroyed, privacy concerns arise. With the EU General Data Protection Regulation (GDPR) the Council of the European Union aims to strengthen and unify data protection for all individuals within the European Union (EU). This regulation affects every organization that processes personal data of EU citizens. The EXIN Privacy & Data Protection Foundation certification covers the main subjects related to the GDPR.

    The new standard in the ISO/IEC 27000 series: ISO/IEC 27701:2019 Security Techniques – Extension to ISO/IEC 27001 and ISO/IEC 27002 for Privacy Information Management – Requirements and Guidelines is useful for organizations that want to show compliance with the GDPR. The content of the new ISO standard helps fulfill the GDPR obligations to organizations regarding the processing of personal data.

    Neither the GDPR nor the ISO standard are exam literature. However, the literature matrix in Chapter 4 is designed to show the link between the exam requirements, the literature, the GDPR and the ISO/IEC 27701:2019 standard to give the certification a broader context.

  • 3 Days ILT, VILT

    EXIN Privacy & Data Protection Professional is a certification that validates a professional’s knowledge and understanding of the European privacy and data protection legislation and its international relevance, as well as the professional’s ability to apply this knowledge and understanding to everyday professional practice.

    With the ever increasing explosion of information flooding the internet, every company needs to plan how to manage and protect privacy of persons and their data. Not without a reason, many new laws within the EU, as well as in the USA and many other regions, are formed in order to regulate both privacy and data protection.

    The European Commission has published the EU General Data Protection Regulation (GDPR), meaning that from the 25th of May 2018 on, all organizations concerned must comply with specific rules. This Practitioner certification builds on the subjects covered by the Foundation exam by focusing on the development and implementation of policies and procedures in order to comply with existing and new legislation, application of privacy and data protection guidelines and best practices, and by establishing a data protection management system (DPMS).

    The new standard in the ISO/IEC 27000 series: ISO/IEC 27701:2019 Security Techniques – Extension to ISO/IEC 27001 and ISO/IEC 27002 for Privacy Information Management – Requirements and Guidelines is useful for organizations that want to show compliance with the GDPR. The content of the new ISO standard helps fulfill the GDPR obligations to organizations regarding the processing of personal data.

    Neither the GDPR nor the ISO standard are exam literature. However, the literature matrix in Chapter 4 is designed to show the link between the exam requirements, the literature, the GDPR and the ISO/IEC 27701:2019 standard to give the certification a broader context

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