Sep 20 2023 Learn Data Engineering With Databricks On Aws Cloud BaDshaH LEARNING / e-learning - Tutorials 23:30 0 Published 9/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.89 GB | Duration: 4h 49mBuild Data Engineering Pipelines on AWS using Databricks core features such as Spark and Delta Lake What you'll learnData Engineering leveraging Databricks featuresDatabricks CLI to manage files, Data Engineering jobs and clusters for Data Engineering PipelinesDeploying Data Engineering applications developed using PySpark on job clusters.Deploying Data Engineering applications developed using PySpark using Notebooks on job clustersBuilding Data Engineering Pipelines using Spark Structured Streaming on Databricks ClustersSetting up development environment to develop Data Engineering applications using Databricks.RequirementsMust have Prior programming experience in SQL and Python.Experience in Spark Programming is a must.Prior basic experience or understanding of cloud services like AWS is important.DescriptionGet ready to Learn Data Engineering with Databricks on AWS Cloud with this complete course. Gain familiarity with the course details and topics designed to help you succeed.This comprehensive course is designed to equip you with the skills and knowledge needed to excel in the field of data engineering using two powerful platforms: Databricks and Amazon Web Services (AWS). Data engineering is the backbone of any successful data-driven initiative, and Databricks, a unified analytics platform, has emerged as a leading choice for data engineers and data scientists worldwide. When combined with AWS, a cloud computing powerhouse, you have a robust ecosystem that can handle data at scale, provide advanced analytics capabilities, and support a wide range of data sources and formats.Learn about Data Engineering with Databricks on AWS with Hands-On LabsLearn Data Engineering with Databricks on AWS Cloud is a hands-on practice course designed to familiarize you with the core functionality of Databricks by connecting it with AWS to perform Data Engineering. Through hands-on exercises, you'll gain a thorough understanding of Databrick's architecture and how it revolutionizes data engineering in the cloud. You'll explore the seamless integration of Databricks with AWS services, such as Amazon S3 and Glue, unlocking a world of possibilities for managing and analyzing your data.This course has been meticulously designed to provide you with both a solid theoretical foundation and extensive hands-on practice in the dynamic realms of data engineering, Databricks, and Amazon Web Services (AWS).The course comprises approximately 50 labs starting from the basics and moving to high levels in terms of complexity.Who should take this course?The course "Learn Data Engineering with Databricks on AWS Cloud" is designed for a wide range of individuals who are interested in building expertise in data engineering using Databricks on the AWS Cloud. If you're looking to start a career in data engineering, this course is an excellent choice. It will provide you with the foundational knowledge and practical skills needed to become a successful data engineer. Data scientists and analysts who want to expand their skill set and be able to work with large-scale data processing, data pipelines, and data lakes can greatly benefit from this course. IT professionals who want to transition into roles focused on data engineering and cloud computing can use this course as a stepping stone to acquire the necessary skills and knowledge. Individuals interested in cloud computing, specifically AWS, and its applications in data engineering will gain a deep understanding of cloud-based data engineering solutions.Requirements● Basic knowledge of SQL or writing queries in any language● Scripting in Python Willingness to explore, learn, and put in the extra effort to succeed● An active AWS Account & know-how of basic cloud fundamentals● Programming experience using Python● Data Engineering experience using SparkOverviewSection 1: Getting Startted with Databricks on AWSLecture 1 Introduction to Getting Started with Databricks on AWSLecture 2 Signing up for aws free accountLecture 3 Logging in into AWS Management ConsoleLecture 4 Setting up Databricks workspace on AWS using QuickstartLecture 5 Logging in into Databricks Workspace on AWSLecture 6 Cleaning up the workspace and resourcesLecture 7 Quick Walkthrough of Databricks UI on AWSLecture 8 Creating Single-Node Databricks cluster on AWSLecture 9 Upload Data using AWS Databricks UILecture 10 Develop spark Application using AWS Databricks NotebookLecture 11 Writing dataframe to DBFSLecture 12 Export and Import AWS Databricks NotebooksSection 2: AWS Storage SolutionsLecture 13 Getting Started with AWS S3Lecture 14 Overview of AWS S3 GlacierLecture 15 Creating S3 Bucket and adding ObjectsLecture 16 Version Control in AWS S3Lecture 17 AWS S3 Cross-Region Replication for Fault ToleranceLecture 18 Setup and configure AWS S3 CLI using IAM user credentialsLecture 19 Managing Objects in AWS S3 using CLISection 3: AWS S3 and IAM RoleLecture 20 Overview of IAM for Databricks on AWSLecture 21 Creating AWS IAM UserLecture 22 Logging into AWS Management Console using IAM UserLecture 23 Validate Programmatic Access to AWS IAM User3Lecture 24 AWS IAM Identity-based policiesLecture 25 AWS IAM User GroupsLecture 26 AWS IAM Custom PoliciesSection 4: Integration S3 and Glue CatalogLecture 27 Introduction to Integrating AWS s3 and Glue Catalog with DatabricksLecture 28 Create AWS IAM Group for Databricks DevelopersLecture 29 Creating AWS IAM Users and adding to groupLecture 30 Creating AWS s3 Bucket for Databricks DevelopersLecture 31 Grant Permissions on AWS S3 Bucket to the users in groupLecture 32 Attach AWS IAM Policy to grant access to GlueLecture 33 Upload JSON Dataset to s3 to crawl using AWS Glue CrawlerLecture 34 Create AWS IAM Custom Service Role for Glue CrawlersLecture 35 Create and Run Glue Crawler to Create Multiple Glue Catalog TablesLecture 36 Overview of Integration of Databricks Clusters and AWS EC2 InstancesLecture 37 Create AWS IAM Role or Instance ProfileLecture 38 Registering AWS IAM Instance Profile with Databricks AccountLecture 39 Attach AWS IAM Instance Profile to Databricks ClusterLecture 40 Grant Permissions on S3 to Databricks ClustersLecture 41 Integrate Databricks Cluster with Glue Catalog via Instance ProfileSection 5: Setup local development environment for databricksLecture 42 Setup single node databricks clusterLecture 43 Install Databricks ConnectLecture 44 Configure Databricks ConnectSection 6: Using Databricks CLILecture 45 Install and configure databricks CLILecture 46 Interacting with File System using Databricks CLILecture 47 Getting Cluster details using Databricks CLISection 7: Spark Jobs Deployment using NotebooksLecture 48 Modularizing NotebooksLecture 49 Running Job using NotebookLecture 50 Refactor application as Databricks NotebooksLecture 51 Run Notebooks using Development ClusterSoftware engineers, aspiring data engineers or data analyst & data scientists,Programmers and Database Administrators with experience in writing SQL queries,BI Analysts looking to enhance their understanding of data engineering, particularly in the context of big data and cloud platforms, can leverage this course to broaden their skill set.,IT professionals who want to transition into roles focused on data engineering and cloud computingHomepagehttps://www.udemy.com/course/learn-data-engineering-with-databricks-on-aws-cloud/Download From Rapidgatorhttps://rapidgator.net/file/3ae12f25b281c44568a402c35df822d3https://rapidgator.net/file/b7f125007015efde0187df4777722d08Download From Nitroflarehttps://nitroflare.com/view/E0C531DDF6D5DF5https://nitroflare.com/view/792BA2171C5C763Download From DDownloadhttps://ddownload.com/uim7vdp5xcfthttps://ddownload.com/siz3iyui25p8 Related News Sql–Mysql Complete Master Bootcamp | Beginner-Expert (2023)Python- Numpy & Pandas Python Programming Language LibrariesPython & Data Science with R | Python & R ProgrammingAWS Certified Developer Associate Exam Training DVA-C02AWS Certified Cloud Practitioner (CLF-C02) Complete Course Comments (0)Add comment Submit NEWEST RELEASES 19.05: Aiseesoft iPhone Unlocker 2.0.58 Multilingual Portable 19.05: Foxit PDF Editor Pro 13.1.1.22432 Multilingual Portable 19.05: 4K Stogram Pro 4.9.0 macOS 19.05: WinCatalog 2024.7.0.519 Multilingual 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