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- Core Spring 5 with STS 4
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- In this course, students will learn about important key concepts, such as dependency injection and inversion of control, which are used throughout the Spring Framework.It is a very intense course, but full of fun labs. And a fifth-day project that allows the student to show their real talents.
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- Spark for Beginners
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- Apache Spark is an open source, scalable, massively parallel, in-memory execution environment for running analytics applications. Think of it as an in-memory layer that sits above multiple data stores, where data can be loaded into memory and analyzed in parallel across a cluster.
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- Data Science with Python
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- Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java. Some of Python's notable features: Uses an elegant syntax, making the programs you write easier to read. Is an easy-to-use language that makes it simple to get your program working. Python is widely used for Data Science.
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- Apache HBase
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- Apache HBase is an open source NoSQL database that provides real-time read/write access to those large datasets. HBase scales linearly to handle huge data sets with billions of rows and millions of columns, and it easily combines data sources that use a wide variety of different structures and schemas. HBase is natively integrated with Hadoop and works seamlessly alongside other…
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- Apache Hadoop for Administrators
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- Apache Hadoop is an open source, scalable, massively parallel, in-memory database environment for data farms and data lakes. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local…
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- Apache Hadoop for Developers
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- Apache Hadoop is an open source, scalable, massively parallel, in-memory database environment for data farms and data lakes. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local…
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- Value Stream Mapping (VSM) for DevOps
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- This course is focused on Value Stream Mapping specifically in a DevOps context. Participants will learn how to create current and future state value stream maps in DevOps environments, and how to use value stream maps as a vehicle of sustained DevOps continuous improvement. Participants also gain an understanding of where streamlining and automating core processes drive quality, lessen costs…
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- ITSM for DevOps
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- DevOps doesn’t eliminate the need for controls and data. Regulatory controls and audits still exist and risks and impacts must still be managed. ITSM for DevOps introduces ways to achieve both speed and control while driving value across the IT value stream and focuses specifically on ITSM in a DevOps context and supports those organizations with mature ITSM programs who…
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- DevSecOps Engineering (DSOE)
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- As companies are pushing code faster and more often than ever, the rate of vulnerabilities in our systems is accelerating. As we are being asked to do more with less, DevOps has shown immense value to business and security as an integral component that needs to be integrated into the strategy.
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- DevOps Test Engineering (DTE)
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- This comprehensive course addresses testing in a DevOps environment and covers concepts such as the active use of test automation, testing earlier in the development cycle, and instilling testing skills in developers, quality assurance, security, and operational teams.
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- DevOps Leader (DOL)
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- The DevOps Leader course is a unique and practical experience for participants who want to take a transformational leadership approach and make an impact within their organization by implementing DevOps. Leading people through a cultural transformation requires new skills, innovative thinking, and transformational leadership. Leaders up, down and across the IT organization must align and collaborate to break down silos…
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- Continuous Delivery Architecture (CDA)
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- This course is designed for participants who are engaged in the design, implementation, and management of DevOps deployment pipelines and tool chains that support Continuous Integration, Continuous Delivery, Continuous Testing and potentially Continuous Deployment. The course highlights underpinning processes, metrics, APls and cultural considerations with Continuous Delivery.
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