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AZURE DATA FACTORY

Azure Data Factory is a cloud-based data integration service provided by Microsoft Azure. It is designed to help organizations create, schedule, and automate data workflows, allowing for the efficient movement and transformation of data between various data stores and processing systems

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The Syllabus

Curriculum Designed by Experts

Summery

This Certification course has been designed by our certified professional for Beginners’ and Professionals. Want to become the master in Azure data Factory and would like to certify. This is a Real-time scenario based certification and Industry Endorsed course. A cloud-based data integration service allows creating data-driven workflows in the cloud. You can create and schedule data-driven workflows.

You will learn Introduction to Azure Data Factory, Basics of data Flows, Data flow scenarios, Data life cycle, Azure data lake storage, How to implement non-relational Data Stores, Data distribution and partitions, Data Lake Storage, Data Security with Azure Data Factory, Azure Databricks, how to Implement integration runtime, Mapping Data Flows, Azure Stream Analytics, Azure Log Analytics, how to Monitoring Data Factory pipelines, Azure Databricks, and Stream Analytics, Troubleshoot data partitioning bottlenecks, how to manage the data lifecycle.

Introduction to Cloud Computing and Azure data Factory
  • Cloud Computing and cloud computing models like SaaS, PaaS and Iaas
  • Hybrid Cloud
  • Data Warehouse, ETL and Analytics with cloud
  • Microsoft Azure Data Factory
  • Azure Data Factory workflow and different services
Implement non-relational data stores
  • Intro to non-relational data stores
  • Cosmos DB
  • Data Lake Storage
  • Blob Storage
  • Data Lake
  • Blob Storage
  • Data distribution and partitions
  • Consistency model in Cosmos DB
  • High Availability, disaster recovery and global distribution
Implement relational data stores
  • Relational database and data stores
  • Relational data stores
  • High availability, disaster recovery, and global distribution
  • Elastic pools in a data store
  • Geo-replication
  • Azure Synapse Analytics
  • Data distribution and partitions for Azure Synapse Analytics
  • Relevance of PolyBase
Manage Data Security
  • Introduction to Data Security with Azure Data Factory
  • Data masking
  • Use of Data Masking 
Develop batch processing solutions
  • Azure Databricks
  • Azure Data Factory
  • Batch processing solutions using Data Factory and Azure Databricks
  • Data ingestion
  • PolyBase and workflow of PolyBase
  • Ingest data using PolyBase
  • Implement integration runtime
  • Implement Copy Activity
  • Linked services and datasets
  • Pipelines and activities
  • Mapping Data Flows
  • Azure Databricks clusters, notebooks, jobs, and auto scaling
  • Ingest data into Azure Databricks
Develop streaming solutions
  • Azure Stream Analytics
  • Configure input and output
  • Select the appropriate windowing functions
  • Implement event processing by using Stream Analytics
Monitor relational and non-relational data sources
  • Introduction to monitoring in Azure Data Factory
  • Azure Monitor
  • Azure Log Analytics
  • Monitoring in Blob Storage and Data Lake Storage
  • Monitoring in SQL Database and Azure Synapse Analytics, and Cosmos DB
  • Configuring alerts in Azure Monitor
  • Auditing by using Azure Log Analytics
Monitor data processing
  • Monitoring Data Factory pipelines
  • Azure Databricks
  • Stream Analytics
  • Configuring alerts in Azure Monitor
  • Auditing by using Azure Log Analytics
Optimize Azure data solutions
  • Troubleshoot data partitioning bottlenecks
  • Optimize Data Lake Storage, Stream Analytics, Synapse Analytics, and SQL Database
  • Manage the data lifecycle

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    Skills Covered

    • SA1 , SA2 ,SA3

    • RHEL 6/7/8/9

    • Virtualization

    • Type1 & Type2

    • CCNA Foundation

    • Networking

    • Servers-SSH/DHCP/DNS/
      Apache/Nginx/Apache Tomcat/MySQL/NTP/FTP/
      NFS/Samba/SMTP/Proxy

    • SAN/NAS/All RAID/LVM Storage

    • Backup Solutions

    • Security - all types of firewall

    • Scripting..  Bash scripting

    • Automation Tool - Complete Ansible

    • 250 hrs Hands on training

    • Resume preparation

    • Mock test interview preparation

    • Migration strategy

    • Server Hardening

    • Docker & Kubernetes

    • Basics AWS comparison with Linux

    • 150+ live on scenarios

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    Covers each topics with Real Time Examples . Covers More than 250+ Real Time Scenarios which is divided into L1 ( Basic ) + L2 ( Intermediate) and L3 ( Advanced ) . Trainer from Real Time Industry .This is completely hands-on training , which covers 90% Practical And 10% Theory

    We give Combo Pack of RHEL 6 with RHEL 7 , to make sure all the candidate will get at least 5+ Year experience knowledge in Redhat Linux after attending this course.Covers SA1 + SA2 + SA3 topics in Details from the very basic to advanced level .

    Complete RHCSA and RHCE Exam Preparations.Appear for Redhat Global Certification Exam At any time After the course – No need to wait to get schedule from Redhat .At your convenient time , you can book and appear for exam using our Individual Exam Delivery System called KOALA

    Course benefits

    • Agentless Architecture

    • Simplicity and Ease of Use

    • Idempotent Execution

    • Infrastructure as Code (laC)

    • Broad Platform Support:

    • Scalability and Performance

    • Community and Support

    Who Can Apply for Red Hat Linux

    Why Red Hat Linux

    Industry Recognition

    Red Hat certifications are widely recognized in the IT industry. Holding a Red Hat certification demonstrates to employers that you have the skills and knowledge needed to effectively work with Red Hat Linux systems.

    High Demand for Linux Skills

    Linux is a dominant operating system in the server market, particularly in enterprise environments. Many organizations, including tech giants, financial institutions, and government agencies, rely on Linux for their infrastructure. As a result, there is a high demand for professionals with Linux skills, including Red Hat Linux expertise.

    Specialized Knowledge

    Red Hat Linux is a popular distribution used in enterprise environments due to its stability, security, and support offerings. By gaining expertise in Red Hat Linux through a certification course, you position yourself as a specialist in this specific distribution, which can make you more attractive to employers who use or plan to use Red Hat Linux.

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    Holding a Red Hat certification opens up various job opportunities in roles such as Linux system administrator, DevOps engineer, cloud engineer, network engineer, and more. Many job postings in these fields specifically mention Red Hat certifications as desired or required qualifications.

    Salary Potential

    Professionals with Red Hat certifications often command higher salaries compared to their non-certified counterparts. Employers value certified individuals for their proven skills and expertise, leading to potentially higher earning potential.

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    Red Hat certifications can help you advance your career by providing a clear path for skill development and progression. As you gain more advanced certifications, you become eligible for more senior roles and responsibilities within organizations.

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    Red Hat Linux Fees in Bangalore

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    16 jul

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    07.00AM TO 09.00
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    20 jul

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    20 jul

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    ₹ 85,044

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    At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalized resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career. Join us and let your journey to a successful future begin with the right support.

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    Red Hat Linux Course Projects

    Infrastructure Provisioning

    And Configuration Management

    Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles. 

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    Applications Deployment

    And Orchestration

    Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible

    Continuous Integration

    And Continuous Deployment

    Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.