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Free Download Pluralsight - Databricks Certified Data Analyst Data Visualization and Dashboarding Released 3/2025 By Avdhesh Gaur MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 41m | Size: 226 MB Transforming data into meaningful visualizations is crucial. This course teaches you how to create visualizations, build and share dashboards, and manage schedules and alerts in Databricks. Creating effective data visualizations is crucial for conveying insights and driving decisions. However, mastering the tools and techniques in Databricks can be challenging without proper guidance. In this course, Databricks Certified Data Analyst: Data Visualization and Dashboarding, you'll gain the ability to design, develop, and manage data visualizations and dashboards that deliver meaningful insights. First, you'll explore how to create and customize visualizations in Databricks SQL, leveraging schema-specific charts and applying formatting to enhance data storytelling. Next, you'll discover how to build and configure dashboards by combining multiple visualizations, customizing parameters, and creating dynamic user experiences. Finally, you'll learn how to share and manage dashboards effectively, configure refresh schedules, and set up alerts to stay informed about critical changes in your data. When you're finished with this course, you'll have the skills and knowledge of visualization and dashboarding techniques in Databricks, ensuring you're well-prepared for the Databricks Certified Data Analyst Associate certification exam. Homepage: https://www.pluralsight.com/courses/databricks-certified-data-analyst-data-vis-dashboarding-cert [b]AusFile[/b] https://ausfile.com/wts9r983rhgv/vhwxn.Pluralsight..Databricks.Certified.Data.Analyst.Data.Visualization.and.Dashboarding.rar.html Fileaxa https://fileaxa.com/9xg8dq6yepf0/vhwxn.Pluralsight..Databricks.Certified.Data.Analyst.Data.Visualization.and.Dashboarding.rar TakeFile https://takefile.link/yfqmtvkpjyba/vhwxn.Pluralsight..Databricks.Certified.Data.Analyst.Data.Visualization.and.Dashboarding.rar.html Rapidgator http://peeplink.in/8a1f7fa29015 Fikper Free Download https://fikper.com/r2ayrS1q3o/vhwxn.Pluralsight..Databricks.Certified.Data.Analyst.Data.Visualization.and.Dashboarding.rar.html No Password - Links are Interchangeable

Free Download Pluralsight - Data Preparation and Exploration in Databricks Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz Language: English | Size: 337.72 MB | Duration: 1h 31m 54s Are you planning for large-scale data preparation and analysis? This course will teach you Databricks - how to use it to explore, analyze, clean and transform data; store data in Delta format; and visualize it using Databricks charts and dashboards. Databricks is a unified analytics platform that can handle huge volumes of data, process it faster, and help explore and analyze the data in-depth. In this course, Data Preparation and Exploration in Databricks, you'll gain the ability to explore, analyze, clean, and transform data using the Databricks platform; store the processed data in Delta Lake format; and visualize the data using Databricks charts and dashboards. First, you'll learn how to set up the Databricks environment. Then, you'll discover how to extract data from multiple sources in Databricks - like Azure Data Lake Store and Databricks File System (DBFS) - and create Spark DataFrames. Next, you'll go over how to explore and analyze data using Spark and Databricks features, clean and transform the data using Spark, and visualize the data using Databricks charts and dashboards. Following this, you'll see how to store the processed data in Data Lake or as Databricks Tables in Delta Lake format. Finally, you'll learn how to do performance optimization in Databricks. When you're finished with this course, you'll have the skills and knowledge of Databricks needed to prepare and explore the data. Homepage: https://www.pluralsight.com/courses/databricks-data-preparation-exploration [b]AusFile[/b] https://ausfile.com/t3aaist4mi40/eqihu.Pluralsight..Data.Preparation.and.Exploration.in.Databricks.rar.html Fileaxa https://fileaxa.com/fg6wlgahtz7n/eqihu.Pluralsight..Data.Preparation.and.Exploration.in.Databricks.rar TakeFile https://takefile.link/tzsdr5t8ojvs/eqihu.Pluralsight..Data.Preparation.and.Exploration.in.Databricks.rar.html Rapidgator http://peeplink.in/c9dd06163bde Fikper Free Download https://fikper.com/bOmBi2aTkH/eqihu.Pluralsight..Data.Preparation.and.Exploration.in.Databricks.rar.html No Password - Links are Interchangeable

Free Download Linkedin - Databricks Certified Data Engineer Associate Cert Prep Released 03/2025 With Noah Gift MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 18m 36s | Size: 288 MB Use this course to prepare for the Databricks Certified Data Engineer Associate exam. Course details In this course, prepare for the Databricks Certified Data Engineer Associate exam. Instructor Noah Gift takes you through the topics you need to know, starting with an introduction to the Databricks Lakehouse platform. He then goes into data transformation with Apache Spark, data management with Delta Lake, data pipelines with Delta Live Tables, workloads with jobs, and wraps up the course with a look at data access with Unity Catalog. Homepage: https://www.linkedin.com/learning/databricks-certified-data-engineer-associate-cert-prep [b]AusFile[/b] https://ausfile.com/masnltnywb6o/nbvhk.Databricks.Certified.Data.Engineer.Associate.Cert.Prep.rar.html TakeFile https://takefile.link/y6ze0mz73ax4/nbvhk.Databricks.Certified.Data.Engineer.Associate.Cert.Prep.rar.html Rapidgator https://rg.to/file/b96da893432fda416c09b04500b5893b/nbvhk.Databricks.Certified.Data.Engineer.Associate.Cert.Prep.rar.html Fikper Free Download https://fikper.com/tpR3W3BKb2/nbvhk.Databricks.Certified.Data.Engineer.Associate.Cert.Prep.rar.html No Password - Links are Interchangeable

Free Download Databricks - Master Data Engineering, Big Data, Analytics, AI Published: 3/2025 Created by: Uplatz Training MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 52 Lectures ( 53h 3m ) | Size: 24.2 GB Master Databricks for data engineering, analytics, machine learning, and cloud integration with real-world applications. What you'll learn Understand Databricks Architecture - Learn the key components, workspace features, and advantages of Databricks over traditional data platforms. Set Up and Configure Databricks - Create a Databricks workspace, manage clusters, and navigate notebooks for data processing. Perform ETL Operations - Use Apache Spark in Databricks for extracting, transforming, and loading (ETL) large datasets efficiently. Work with Delta Lake - Implement incremental data loading, schema evolution, and time travel features using Delta Lake. Run SQL Queries in Databricks - Utilize Databricks SQL for querying and analyzing structured data, optimizing performance, and creating dashboards. Build and Deploy Machine Learning Models - Use MLflow for model tracking, hyperparameter tuning, and deploying ML models within Databricks. Integrate Databricks with Cloud Services - Connect Databricks with AWS S3, Azure Data Factory, Snowflake, and BI tools like Power BI. Optimize Cluster Performance - Learn auto-scaling, partitioning, bucketing, and performance tuning techniques for handling big data workloads. Implement Real-Time Data Processing - Develop streaming analytics pipelines for IoT and real-time event processing in Databricks. Secure Data in Databricks - Apply role-based access control (RBAC), encryption, and auditing to protect sensitive data. Develop CI/CD Pipelines for Databricks - Automate deployment and testing using GitHub, Azure DevOps, and Databricks REST API. Manage Data Warehousing in Databricks - Design scalable data lakes, data marts, and warehouse architectures for enterprise solutions. Perform Graph and Time Series Analysis - Use GraphFrames for graph processing and time-series forecasting in Databricks. Monitor and Audit Databricks Workloads - Track resource utilization, job performance, and cost optimization strategies for efficient cloud usage. Apply Databricks to Real-World Use Cases - Work on projects like customer segmentation, predictive maintenance, and fraud detection using Databricks. Requirements Enthusiasm and determination to make your mark on the world! Description A warm welcome to the Databricks: Master Data Engineering, Big Data, Analytics, AI course by Uplatz.Databricks is a cloud-based data engineering, analytics, and machine learning platform built on Apache Spark. It provides an integrated environment for processing big data, performing analytics, and deploying machine learning models. Databricks simplifies data engineering and collaboration by offering a unified workspace where data engineers, data scientists, and analysts can work together efficiently. It is available on Microsoft Azure, Amazon Web Services, and Google Cloud, making it a versatile choice for enterprises working with large datasets.Databricks is widely used in industries such as finance, healthcare, retail, and technology for handling large-scale data workloads efficiently. It provides a powerful and scalable solution for organizations looking to leverage big data for analytics, machine learning, and business intelligence.How Databricks WorksDatabricks operates as a fully managed, cloud-based platform that automates and optimizes big data processing. The workflow typically involves:Creating a workspace where users manage notebooks, clusters, and data assets.Configuring clusters using Apache Spark for scalable and distributed computing.Importing and processing data from multiple sources, including data lakes, relational databases, and cloud storage.Running analytics and SQL queries using Databricks SQL for high-performance querying and data visualization.Building and deploying machine learning models using MLflow for tracking experiments, hyperparameter tuning, and deployment.Optimizing performance through auto-scaling, caching, and parallel processing to handle large-scale data workloads efficiently.Integrating with cloud services and APIs such as Azure Data Factory, AWS S3, Power BI, Snowflake, and REST APIs for seamless workflows.Core Features of DatabricksUnified data analytics platform combining data engineering, analytics, and machine learning in a single environment.Optimized runtime for Apache Spark, improving performance for big data workloads.Delta Lake for improved data reliability, versioning, and schema evolution in data lakes.Databricks SQL for running high-performance SQL queries and building interactive dashboards.MLflow for streamlined machine learning development, including model tracking, experimentation, and deployment.Auto-scaling clusters that dynamically allocate resources based on workload Requirements.Real-time streaming analytics for processing event-driven data from IoT devices, logs, and real-time applications.Advanced security features, including role-based access control, encryption, and audit logging for compliance.Multi-cloud support with deployment options across AWS, Azure, and Google Cloud.Seamless integration with third-party analytics and business intelligence tools like Power BI, Tableau, and Snowflake.Benefits of Using DatabricksAccelerates data processing by optimizing Spark-based computations for better efficiency.Simplifies data engineering by automating ETL processes, reducing manual intervention.Enhances collaboration by allowing engineers, analysts, and data scientists to work in a shared, cloud-based workspace.Supports AI and machine learning with an integrated framework for training and deploying models at scale.Reduces cloud computing costs through auto-scaling and optimized resource allocation.Ensures data reliability with Delta Lake, enabling ACID transactions and schema enforcement in large datasets.Provides real-time analytics capabilities for fraud detection, IoT applications, and event-driven processing.Offers flexibility with multi-cloud deployment, making it easier to integrate with existing enterprise infrastructure.Meets enterprise security and compliance standards, ensuring data protection and regulatory adherence.Improves business intelligence with Databricks SQL, enabling organizations to gain deeper insights and make data-driven decisions.Databricks - Course Curriculum1. Introduction to DatabricksIntroduction to DatabricksWhat is Databricks? Platform OverviewKey Features of Databricks WorkspaceDatabricks Architecture and ComponentsDatabricks vs Traditional Data Platforms2. Getting Started with DatabricksSetting Up a Databricks WorkspaceDatabricks Notebook BasicsImporting and Organizing Datasets in DatabricksExploring Databricks ClustersDatabricks Community Edition: Features and Limitations3. Data Engineering in DatabricksIntroduction to ETL in DatabricksUsing Apache Spark with DatabricksWorking with Delta Lake in DatabricksIncremental Data Loading Using Delta LakeData Schema Evolution in Databricks4. Data Analysis with DatabricksRunning SQL Queries in DatabricksCreating and Visualizing DashboardsOptimizing Queries in Databricks SQLWorking with Databricks Connect for BI ToolsUsing the Databricks SQL REST API5. Machine Learning & Data ScienceIntroduction to Machine Learning with DatabricksFeature Engineering in DatabricksBuilding ML Models with Databricks MLFlowHyperparameter Tuning in DatabricksDeploying ML Models with Databricks6. Integration and APIsIntegrating Databricks with Azure Data FactoryConnecting Databricks with AWS S3 BucketsDatabricks REST API BasicsConnecting Power BI with DatabricksIntegrating Snowflake with Databricks7. Performance OptimizationUnderstanding Databricks Auto-ScalingCluster Performance Optimization TechniquesPartitioning and Bucketing in DatabricksManaging Metadata with Hive Tables in DatabricksCost Optimization in Databricks8. Security and ComplianceSecuring Data in Databricks Using Role-Based Access Control (RBAC)Setting Up Secure Connections in DatabricksManaging Encryption in DatabricksAuditing and Monitoring in Databricks9. Real-World ApplicationsReal-Time Streaming Analytics with DatabricksData Warehousing Use Cases in DatabricksBuilding Customer Segmentation Models with DatabricksPredictive Maintenance Using DatabricksIoT Data Analysis in Databricks10. Advanced Topics in DatabricksUsing GraphFrames for Graph Processing in DatabricksTime Series Analysis with DatabricksData Lineage Tracking in DatabricksBuilding Custom Libraries for DatabricksCI/CD Pipelines for Databricks Projects11. Closing & Best PracticesBest Practices for Managing Databricks Projects Who this course is for Data Engineers - Professionals working with ETL pipelines, data transformation, and big data processing. Data Scientists - Those looking to use Databricks for machine learning, feature engineering, and predictive analytics. Big Data Analysts - Individuals working with large-scale datasets, SQL queries, and business intelligence tools. Cloud Engineers - Professionals integrating Databricks with AWS, Azure, and Google Cloud for scalable data solutions. Machine Learning Engineers - Those building and deploying ML models using MLflow, hyperparameter tuning, and automation. Business Intelligence Professionals - Users working with Databricks SQL, Power BI, and dashboarding tools. Database Administrators - DBAs managing data lakes, Delta Lake, Hive tables, and metadata in Databricks. Software Engineers - Developers looking to understand Apache Spark, API integrations, and data pipeline automation. AI & IoT Specialists - Professionals working on real-time analytics, IoT data processing, and AI-driven insights. Enterprise Architects - Those designing scalable, cost-effective, and high-performance data platforms. Cloud Data Professionals - Individuals managing data migration, cost optimization, and auto-scaling clusters. Students & Graduates - Learners interested in big data technologies, cloud computing, and machine learning. Finance & Healthcare Analysts - Professionals working with large datasets for fraud detection, risk analysis, and patient insights. Consultants & Freelancers - Independent professionals offering Databricks consulting, cloud data engineering, and analytics solutions. Technology Leaders & Decision Makers - CTOs, data managers, and tech leads looking to implement Databricks for business transformation. 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Free Download Databricks Certified Data Engineer Associate - Ultimate Prep Published: 3/2025 Created by: Ramesh Retnasamy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 98 Lectures ( 14h 49m ) | Size: 5.15 GB Complete Coverage of the Exam Syllabus | Full Practice Exam included with Explanations | Hands-on Training | NEW[2025] What you'll learn All the topics required to PASS the Databricks Certified Data Engineer Associate Exam Full Length Practice Exam with Detailed Explanations Included All 320+ Slides are included as a downloadable PDF Databricks Lakehouse Platform Architecture & Databricks Workspace Components Medallion Architecture & Implementing a Solution using Medallion Architecture Git Integration with Databricks Workspace and Collaboration with Source Control Extract Transform and Load (ETL) using Apache Spark Spark User Defined Functions (UDF) Incremental Load Processing using Spark Structured Streaming Incremental Data Ingestion via Auto Loader Delta Lake Architecture, Benefits, Implementation & Performance Tuning Implementing Streaming and Batch Workloads using Delta Live Tables Data Quality & Exception Handling using Delta Live Tables Implementing Production Pipelines using Databricks Jobs Configuring & Deploying SQL Warehouse Creating Alerts & Dashboards using Databricks SQL Configuring & Working with Databricks Unity Catalog Data Governance & Access Control via Unity Catalog Requirements You do not need any experience with Databricks. All the code and step-by-step instructions are provided, but the skills below will greatly benefit your journey Basic SQL knowledge will be required Basic Python programming experience will be required Azure subscription will be required, If you don't have one we will create a free account in the course Description Databricks Data Engineer Associate Certification is a gateway to gain recognition in the industry and open doors to better job opportunities and higher salaries. And it showcases your ability to handle real-world data engineering projects, as well as a way to future-proof your career, and a chance to achieve your professional goals!I want to help you pass the Databricks Data Engineer Associate Certification with ease! I have designed the course to give you the right level of theory and hands-on practice so that you can not only pass the certification exam, but also develop yourself with the right skills required to work in the industry using Databricks. So, I have designed the course with the following in mindIt covers all the topics required to pass the certificationIt includes a Full Length Practice Exam with detailed explanationsIt provides detailed explanations of each of topicsIt takes a hands-on approach to learning. 80% course requires you to be working with databricksIt has 2 small projects to give you the practical knowledge required to work in the industryIt's fast paced and to the point. I genuinely value your time. All the 300+ slides are available to download as PDFAll the databricks notebooks created during the course are available to downloadI provide guidance on how to approach the Databricks Exam and pass with easeBeginners are welcome! I teach everything about Databricks from Scratch and provide step-by-step instructions.About the InstructorMy name is Ramesh and I am going to be your instructor for this course. I am a data engineer with over 25 years of experience working on some of the large data projects, including most recently working for Microsoft UK and some of the top consulting firms.I hold a number of certifications including the Databricks Certified Data Engineer Associate Certification that I am teaching in this course.Over the last 4 years, I've taught over 180,000 students on Udemy, and my courses are highly rated and best sellers. I'm extremely passionate about teaching and committed to making your learning journey enjoyable and worthwhile.I am active in the Q&A section of the course. So, you will be able to ask questions and I will be there to answer your questions! So, if you're ready to take the next step in your data engineering career and become a Databricks Certified Data Engineer Associate, enroll now, and let's get started! I look forward to seeing you inside the course! 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Free Download Linkedin - Learn Databricks GenAI Released 03/2025 With Lynn Langit MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 11m 10s | Size: 226 MB Explore the world of Generative AI with Databricks as you learn about prompt engineering, vector search, RAG patterns, and model tuning. Course details In this detailed course, cloud architect and experienced technical educator Lynn Langit explores Generative AI with Databricks. Discover how to use prompt engineering in Databricks AI and BI to effectively query data with AI prompts. Learn to implement and set up Vector Search to enhance your GenAI applications. Understand the Retrieval-Augmented Generation (RAG) pattern and its integration to boost your AI projects with your data. Get hands-on with model tuning, including foundation model training and fine-tuning with Hugging Face transformers. Gain the skills you need to harness AI for data queries, implement advanced search techniques, and fine-tune AI models. This course empowers you to unlock the power of Databricks and elevate your data-driven decision-making capabilities. Homepage: https://www.linkedin.com/learning/learn-databricks-genai TakeFile https://takefile.link/xfurrobg4cos/yxbmb.Linkedin..Learn.Databricks.GenAI.rar.html Rapidgator https://rg.to/file/7bd023bd67d14ce57718840ca7cc8fa2/yxbmb.Linkedin..Learn.Databricks.GenAI.rar.html Fikper Free Download https://fikper.com/1P9Vrjynwl/yxbmb.Linkedin..Learn.Databricks.GenAI.rar.html : No Password - Links are Interchangeable

Free Download Pluralsight - Databricks Certified Data Analyst SQL in the Lakehouse Released 2/2025 By Lucian Lazar MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 29m | Size: 195 MB Learn to query, analyze, and manage data in Databricks SQL. This course prepares you for the Databricks Certified Data Analyst Associate exam with skills in SQL queries, advanced analytics, and data management in a Lakehouse environment. Data analysts and professionals often struggle with confidently querying and managing data in a modern Lakehouse environment while preparing for the Databricks Certified Data Analyst Associate certification. In this course, Databricks Certified Data Analyst: SQL in the Lakehouse, you'll gain the ability to query, analyze, and manage data efficiently using Databricks SQL. First, you'll explore how to set up and navigate the Databricks environment and write efficient SQL queries to retrieve and refine data. Next, you'll discover techniques for performing advanced data aggregations, such as subtotals, totals, and granular analysis, using tools like GROUP BY, CUBE, and ROLLUP. Finally, you'll learn how to manage structured and nested data while adhering to data quality and consistency standards essential for Lakehouse environments. When you're finished with this course, you'll have the skills and knowledge of Databricks SQL needed to confidently analyze data, optimize query performance, and prepare for the Databricks Certified Data Analyst Associate certification. Homepage: https://app.pluralsight.com/library/courses/databricks-certified-data-analyst-sql-lakehouse-cert/table-of-contents DOWNLOAD NOW: Pluralsight - Databricks Certified Data Analyst SQL in the Lakehouse Fileaxa https://fileaxa.com/925w88k5fh81/evftz.Databricks.Certified.Data.Analyst.SQL.in.the.Lakehouse.rar TakeFile https://takefile.link/ft33rhl2id4k/evftz.Databricks.Certified.Data.Analyst.SQL.in.the.Lakehouse.rar.html Rapidgator https://rg.to/file/81af2eafc4b9e962554be5eaf14c6334/evftz.Databricks.Certified.Data.Analyst.SQL.in.the.Lakehouse.rar.html Fikper Free Download https://fikper.com/jiahX2kaXo/evftz.Databricks.Certified.Data.Analyst.SQL.in.the.Lakehouse.rar.html : No Password - Links are Interchangeable

Free Download Linkedin - Complete Guide to Databricks for Data Engineering Released 02/2025 With Deepak Goyal MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 6h 9m 14s | Size: 752 MB This course gives data professionals a deep dive on how the Databricks platform works and explores PySpark transformation and Spark SQL in Databricks. Course details In this course, master Databricks to become an ace data engineer. Learn how to expertly debug, process, and analyze huge amounts of data and build scalable solutions as instructor Deepak Goyal guides you through a deep dive on how the Databricks platform works. Explore PySpark transformation and Spark SQL in Databricks, along with how to read and write a DataFrame in Databricks. Plus, learn about Delta Lake, join optimizations, notebook scheduling, cluster management, workflows, and more. Homepage: https://www.linkedin.com/learning/complete-guide-to-databricks-for-data-engineering DOWNLOAD NOW: Linkedin - Complete Guide to Databricks for Data Engineering Fileaxa https://fileaxa.com/mt2oua7nug7e/qdrsh.Complete.Guide.to.Databricks.for.Data.Engineering.rar TakeFile https://takefile.link/lxtwzdg3335m/qdrsh.Complete.Guide.to.Databricks.for.Data.Engineering.rar.html Rapidgator https://rg.to/file/726862bbf1010c79176983cfdaf4546d/qdrsh.Complete.Guide.to.Databricks.for.Data.Engineering.rar.html Fikper Free Download https://fikper.com/quG3yyBPge/qdrsh.Complete.Guide.to.Databricks.for.Data.Engineering.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Databricks Stream Processing With Pyspark In 15 Days Published: 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 746.60 MB | Duration: 1h 56m Master Spark Structured Streaming with PySpark on Databricks through a Complete End to End Real Life Project What you'll learn Concept of Real-time Stream Processing in Databricks Spark Structured Streaming APIs and Medallion Architecture Working with Different Streaming Sources and Sinks Working With Kafka Source and Integrating with Spark Windowing Aggregates using Spark Stream & Streaming Joins and Aggregation Concept of State-less and State-full Streaming Transformations Handling Memory Problems with Streaming Working with Azure Databricks Platform Real Life Final Project - Streaming application in Lakehouse Requirements Python Programming Language Description Course OverviewIn today's data-driven world, real-time stream processing is a crucial skill for software engineers, data architects, and data engineers. This course, Apache Spark and Databricks - Stream Processing in Lakehouse, is designed to equip learners with hands-on experience in real-time data streaming using Apache Spark, Databricks Cloud, and the PySpark API.Whether you're a beginner or an experienced professional, this course will provide you with the practical knowledge and skills needed to build real-time data processing pipelines on Databricks, utilizing Apache Spark Structured Streaming for high-performance data processing.With a live coding approach, you'll gain deep insights into streaming architecture, message queues, event-driven applications, and real-world data processing scenarios.Why Learn Real-Time Stream Processing?Real-time stream processing is becoming a critical technology for businesses handling vast amounts of data generated by IoT devices, financial transactions, social media platforms, e-commerce websites, and more. Companies need instant insights and decisions, and Apache Spark Structured Streaming is the best tool for handling large-scale streaming data efficiently.With the rise of Lakehouse Architecture and platforms like Databricks, enterprises are moving towards unified data analytics where structured and unstructured data can be processed in real time. This course ensures that you stay ahead in the industry by mastering streaming technologies and building scalable, fault-tolerant stream processing applications.What you'll learn?This course takes an example-driven approach to teach real-time stream processing. Here's what you'll learn:Foundations of Stream Processing- Introduction to real-time stream processing and its use cases- Understanding batch vs. streaming data processing- Overview of Apache Spark Structured Streaming- Core components of Databricks Cloud and Lakehouse ArchitectureGetting Started with Apache Spark & Databricks- Setting up a Databricks workspace for real-time streaming- Understanding Databricks Runtime and optimized Spark execution- Managing data with Delta Lake and Databricks File System (DBFS)Building Real-Time Streaming Pipelines with PySpark- Introduction to PySpark API for streaming- Working with Kafka, Event Hubs, and Azure Storage for data ingestion- Implementing real-time data transformations and aggregations- Writing streaming data to Delta Lake and other storage formats- Handling late-arriving data and watermarking- Optimizing Streaming Performance on Databricks- Tuning Spark Structured Streaming applications for low latency- Implementing checkpointing and stateful processing- Understanding fault tolerance and recovery strategies- Using Databricks Job Clusters for real-time workloadsIntegrating Stream Processing with Databricks Ecosystem- Using Databricks SQL for real-time analytics- Connecting Power BI, Tableau, and other visualization tools- Automating real-time data pipelines with Databricks Workflows- Deploying streaming applications with Databricks JobsCapstone Project - End-to-End Real-Time Streaming Application- Design a real-time data processing pipeline from scratch- Implement data ingestion from Kafka or Event Hubs- Process streaming data using PySpark transformations- Store and analyze real-time insights using Delta Lake & Databricks SQL- Deploy your solution using Databricks Workflows & CI/CD PipelinesWho Should Take This Course?This course is perfect for:- Software Engineers who want to develop scalable, real-time applications.- Data Engineers & Architects who design and build enterprise-level streaming pipelines.- Machine Learning Engineers looking to process real-time data for AI/ML models.- Big Data Professionals who work with streaming frameworks like Kafka, Flink, or Spark.- Managers & Solution Architects who oversee real-time data implementations.Why Choose This Course?This course is designed with a practical, hands-on approach, ensuring you not only learn the concepts but also implement them in real-world scenarios.- Live Coding Sessions - Learn by doing, with step-by-step implementations.- Real-World Use Cases - Apply your knowledge to industry-relevant examples.- Optimized for Databricks - Best practices for deploying streaming applications on Azure Databricks.- Capstone Project - Get hands-on experience building an end-to-end streaming pipeline.Technology Stack & EnvironmentThis course is built using the latest technologies:- Apache Spark 3.5 - The most powerful version for structured streaming.- Databricks Runtime 14.1 - Optimized Spark performance on the cloud.- Azure Databricks - Scalable, serverless data analytics.- Delta Lake - Reliable storage for structured streaming.- Kafka & Event Hubs - Real-time messaging and event-driven architecture.- CI/CD Pipelines - Deploying real-time applications efficiently.Enroll Now & Start Your Journey in Real-Time Data Streaming!By the end of this course, you will be confident in building, deploying, and managing real-time streaming applications using Apache Spark Structured Streaming on Databricks Cloud.Take the next step in your career and master real-time stream processing today. Aspiring programmers and developers seeking to advance their skills and knowledge in Data Engineering with Apache Spark and Databricks Cloud.,Software Engineers and Architects eager to design and build Big Data Engineering projects using Apache Spark and Databricks Cloud. Homepage: https://www.udemy.com/course/databricks-stream-processing-with-pyspark/ TakeFile https://takefile.link/fc7jt92xn1ti/csici.Databricks.Stream.Processing.With.Pyspark.In.15.Days.rar.html Rapidgator https://rg.to/file/0312867cc73099310c6d4598cfbe337e/csici.Databricks.Stream.Processing.With.Pyspark.In.15.Days.rar.html Fikper Free Download https://fikper.com/N4ZysUIjXn/csici.Databricks.Stream.Processing.With.Pyspark.In.15.Days.rar.html : No Password - Links are Interchangeable

Free Download Pluralsight - Query Data with Databricks SQL Released 2/2025 By Lewis Holmes MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 29m 18s | Size: 73 MB Databricks is quickly becoming a standard for modern data platforms. This course will teach you about the components of Databricks SQL, how they integrate into the Lakehouse, and how to write and optimize SQL statements to generate insight. Many companies now leverage Databricks to ingest and transform their data, and having a good knowledge of Databricks SQL is critical to understand and analyse that data. In this course, Query Data with Databricks SQL, you'll gain the ability to query data efficiently within Databricks SQL. First, you'll explore the Databricks SQL interface and gain an understanding of its various components such as warehouses, editor, and endpoints, and gain context on how they relate to the wider Lakehouse architecture and the various data sources it can have. Next, you'll discover how to write SQL queries against pre-existing datasets, first with simple queries but also with complex SQL functions to derive meaningful insight from the data. Finally, you'll learn how to optimize these queries so that they run effectively, understanding partitioning, indexing, and caching, and how you can diagnose performance bottlenecks by investigating the query profile. When you're finished with this course, you'll have the skills and knowledge of Databricks SQL needed to query data effectively. Homepage: https://www.pluralsight.com/courses/databricks-sql-query-data TakeFile https://takefile.link/hnvsa9s7lf4j/fybgi.Pluralsight..Query.Data.with.Databricks.SQL.rar.html Fileaxa https://fileaxa.com/k8wjishh11bl/fybgi.Pluralsight..Query.Data.with.Databricks.SQL.rar Rapidgator https://rg.to/file/8ef3b69e3fc5166527fe72f84c99d350/fybgi.Pluralsight..Query.Data.with.Databricks.SQL.rar.html Fikper Free Download https://fikper.com/kT11Rm2JPi/fybgi.Pluralsight..Query.Data.with.Databricks.SQL.rar.html : No Password - Links are Interchangeable

Free Download Pluralsight - Databricks Access Control and Security Released 2/2025 By Dayo Bamikole MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 45m | Size: 134 MB Master Databricks security fundamentals with hands-on demos of access control implementation, from workspace permissions to Unity Catalog integration, all aligned with real-world security needs Organizations often struggle with implementing proper security controls in their Databricks environments, leading to potential data breaches and compliance issues. In this course, Databricks Access Control and Security, you'll become equipped with the essential skills to implement and manage secure Databricks environments. First, you'll explore the fundamentals of access control in Databricks, including user and group permissions, workspace security, and resource-level controls. Next, you'll discover how to implement these controls effectively across different resources, from clusters to Unity Catalog. Finally, you'll learn how to monitor security settings and implement best practices for maintaining a secure environment. When you're finished with this course, you'll have the skills and knowledge needed to implement and manage secure Databricks environments effectively. Homepage: https://app.pluralsight.com/library/courses/databricks-access-control-security/table-of-contents TakeFile https://takefile.link/klgwcjg7jw30/hctal.Pluralsight..Databricks.Access.Control.and.Security.rar.html Fileaxa https://fileaxa.com/v4jgod38ccl2/hctal.Pluralsight..Databricks.Access.Control.and.Security.rar Rapidgator https://rg.to/file/78b12f0712e831c684aa67d9f516d640/hctal.Pluralsight..Databricks.Access.Control.and.Security.rar.html Fikper Free Download https://fikper.com/F2ESasOz4X/hctal.Pluralsight..Databricks.Access.Control.and.Security.rar.html : No Password - Links are Interchangeable