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Free Download Zero Trust Networking (ZTN) The Big Picture Updated: October 2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz Language: English | Size: 64.46 MB | Duration: 48m 14s Initially, networks were designed solely for connectivity i.e to share a printer. Back 30 years ago a printer could cost the same as a house so it was pretty important to be able to share it. In this course, Zero Trust Networking (ZTN): The Big Picture, you will learn foundational knowledge and gain the ability to evolve your network to match the new digital world and combat the bad actors both internal and external to your network. First, you will learn why we need Zero Trust Networking. Next, you will discover some of the components used to create a new network and security model and a good understanding of how Zero Trust Networking works. Finally, you will explore how to two Zero Trust projects of Microsegmention and Software-defined perimeter. When you're finished with this course, you will have the skills and knowledge of Zero Trust Networking needed to match the new digital age and combat bad actors both internal and external to your network. Homepage https://www.pluralsight.com/courses/zero-trust-networking-big-picture Screenshot Rapidgator https://rg.to/file/3a8878f0a466908e767153edfe947775/njehn.Zero.Trust.Networking.ZTN.The.Big.Picture.rar.html Fikper Free Download https://fikper.com/1nx3WEDnym/njehn.Zero.Trust.Networking.ZTN.The.Big.Picture.rar.html No Password - Links are Interchangeable

Free Download The Big Secret To Master Your Tennis Serve Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.26 GB | Duration: 0h 52m Learn the 5 key elements to a great tennis serve, improve your match performance, and compete well. What you'll learn Learn the 5 key elements of a tennis serve How to use the 3 type of serves and target locations Develop a competitive tennis serve Increase your tennis performance Requirements No prior experience required Have a will to take action Tennis shoes, balls, strung racket, and court to practice Description The course shows how a person who plays tennis at any level can improve his/her serve. We explore the 5 hey elements of a tennis serve and how to master these basics through repetition and the right direction. We show you exercises to each area to work on specifics ways to improve. The ide behind making progress is to work on each area on a daily basis. Initial Position Inertia Balance Acceleration End positionLearn the 3 types of serves you could hit and the 3 main target areas to give direction to your serve. This way you can create combinations of serve plays to compete and win. You would be able to create a combination of minimum 8 serves if you mix up the type of serve and the target area. We set a Key Performance Indicator (KPI) to track progress. The % of first serve in and the % of second serve in are ways to track your progress. There will be days where your performance will be on the top and some days close to your bottom. The idea behind setting a KPI is that it will tell us a performance range with confidence. There is a extra curricular section that shares experiences during tennis competitions. The instructor's serve progression and learnings are shared to the students. Overview Section 1: Introduction Lecture 1 Intro Section 2: The Big Secret to Mastering your Tennis Serve Lecture 2 Section 2: Fundamentals Lecture 3 Add your style Section 3: Initial Position Lecture 4 Initial Position Lecture 5 Singles vs Doubles Section 4: Inertia Lecture 6 Inertia Lecture 7 The trophy position Lecture 8 Throwing Exercise Lecture 9 Right arm swing Section 5: Balance Lecture 10 Balance Lecture 11 The toss Section 6: Acceleration Lecture 12 Acceleration Lecture 13 Timing Lecture 14 Acceleration Exercises Lecture 15 More exercises Section 7: End Position Lecture 16 End Position Section 8: Types of Serves Lecture 17 Types of serves Section 9: Target Areas Lecture 18 Target Areas Section 10: Key Performance Indicators Lecture 19 KPIs Section 11: Compete Lecture 20 Compete Section 12: Extra Material Lecture 21 Resources Lecture 22 Mistakes Lecture 23 3 Year Serve Progression Players who have a will to take action to improve tennis performance,People who care about health,People who like to play tennis,Competitive players looking to win more Screenshot Homepage https://www.udemy.com/course/the-big-secret-to-master-your-tennis-serve/ Rapidgator https://rg.to/file/6b03743908f27eaccfaacb4cc9488061/zeesz.The.Big.Secret.To.Master.Your.Tennis.Serve.part2.rar.html https://rg.to/file/c0e9ebabaded93bd5848b6ed51cebef2/zeesz.The.Big.Secret.To.Master.Your.Tennis.Serve.part1.rar.html Fikper Free Download https://fikper.com/f3AttHKaXc/zeesz.The.Big.Secret.To.Master.Your.Tennis.Serve.part1.rar.html https://fikper.com/yQUF3HahPu/zeesz.The.Big.Secret.To.Master.Your.Tennis.Serve.part2.rar.html No Password - Links are Interchangeable

Free Download Take Control of Your Big Data with HUE in Cloudera CDH Duration: 2h 54m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 395 MB Genre: eLearning | Language: English Working with Big Data is no small task. Jumpstart your Hadoop skills by loading, visualizing, analyzing, and searching your data using Cloudera HUE, the Hadoop User Experience. Take control of your Big Data! Hadoop is a very complex ecosystem with a potentially pretty steep learning curve to get started from scratch. To make adoption easier, several distributions have been created to integrate all key projects and give a turn-key approach, one of the most popular and complete being Cloudera CDH. In this course, Take Control of Your Big Data with HUE in Cloudera CDH, you'll learn how to leverage Hadoop using a relatable data source. First, you'll explore how to work with the major components of a cluster. Next, you'll discover how to load data into your cluster and how to analyze it with query editors. Finally, you'll go one level beyond with interactive dashboards using HUE. By the end of this course, you'll be able to load, process, and analyze your big data using HUE in Cloudera CDH. Homepage https://www.pluralsight.com/courses/big-data-hue-cloudera-cdh Rapidgator https://rg.to/file/92b12b57b3579aaa5ff51f171d725df7/icnlf.Take.Control.of.Your.Big.Data.with.HUE.in.Cloudera.CDH.rar.html Fikper Free Download https://fikper.com/553G1ZHycG/icnlf.Take.Control.of.Your.Big.Data.with.HUE.in.Cloudera.CDH.rar.html No Password - Links are Interchangeable

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Free Download Linkedin - Azure AI The Big Picture (2024) Released 10/2024 With Walt Ritscher, Learn-it Labs MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 2h 5m 53s | Size: 259 MB Get a high-level look at the built-in features and core components of the Azure AI toolset. Course details The tech world is obviously enamored with artificial intelligence. After decades of research, developers now have a robust set of tools that make it easier to add machine learning or cognitive services to their applications. It's no surprise that Microsoft is heavily invested in the AI space.This course looks at the big picture of Microsoft Azure AI offerings. Instructor Walt Ritscher provides a perspective that will help you understand the many Azure offerings and assess which best fit your organization's cloud strategy. Join Walt in this big-picture course and get a high-level look at the built-in features and core components of the Azure AI toolset. Homepage https://www.linkedin.com/learning/azure-ai-the-big-picture-23676334 Screenshot Rapidgator https://rg.to/file/de15719a6a14fab09f3ab8247f77f1f5/dqlfx.Azure.AI.The.Big.Picture.2024.rar.html Fikper Free Download https://fikper.com/KgXjMg1c1D/dqlfx.Azure.AI.The.Big.Picture.2024.rar.html No Password - Links are Interchangeable

Free Download Learning Apache Spark - Master Spark for Big Data Processing Published 10/2024 Created by VCloudMate Solutions MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 88 Lectures ( 7h 11m ) | Size: 2.8 GB Embark on a comprehensive journey to master Apache Spark from data manipulation to machine learning! What you'll learn Understand the fundamentals of Spark's architecture and its distributed computing capabilities Learn to write and optimize Spark SQL queries for efficient data processing Master the creation and manipulation of DataFrames, a core component of Spark Learn to read data from different file formats such as CSV and Parquet Develop skills in filtering, sorting, and aggregating data to extract meaningful insights Learn to process and analyze streaming data for real-time insights Explore the capabilities of Spark's MLlib for machine learning Learn to create and fine-tune models using pipelines and transformers for predictive analytics Requirements You should know how to write and run Python code Basic understanding of Python syntax and concepts is necessary Understanding SQL (Structured Query Language) is important You should know how to create and manage tables, transform data, and run queries Description Unlock the power of big data with Apache Spark!In this course, you'll learn how to use Apache Spark with Python to work with data.We'll start with the basics and move up to advanced projects and machine learning.Whether you're just starting or already know some Python, this course will teach you step-by-step how to process and analyze big data.What You'll Learn:Use PySpark's DataFrame: Learn to organize and work with data.Store Data Efficiently: Use formats like Parquet to store data quickly.Use SQL in PySpark: Work with data using SQL, just like with DataFrames.Connect PySpark with Python Tools: Dig deeper into data with Python's data tools.Machine Learning with PySpark's MLlib: Work on big projects using machine learning.Real-World Examples: Learn by doing with practical examples.Handle Large Data Sets: Understand how to manage big data easily.Solve Real-World Problems: Apply Spark to real-life data challenges.Build Confidence in PySpark: Get better at big data processing.Manage and Analyze Data: Gain skills for both work and personal projects.Prepare for Data Jobs: Build skills for jobs in tech, finance, and healthcare.By the end of this course, you'll have a solid foundation in Spark, ready to tackle real-world data challenges. Who this course is for IT professionals interested in big data and analytics Aspiring Data Scientists Aspiring Data Analysts Aspiring Machine Learning Engineers Business Analysts Software Engineers Students and Academics Researchers Anyone Interested in Big Data Homepage https://www.udemy.com/course/learning-apache-spark-master-spark-for-big-data-processing/ Rapidgator https://rg.to/file/990339f131570b5941433d1bfe0f31ec/oehgr.Learning.Apache.Spark..Master.Spark.for.Big.Data.Processing.part2.rar.html https://rg.to/file/a87002e26f49542e970bbe5eb6ec16a5/oehgr.Learning.Apache.Spark..Master.Spark.for.Big.Data.Processing.part1.rar.html https://rg.to/file/d9222ef1e87ef257c2cafbea2f97a28f/oehgr.Learning.Apache.Spark..Master.Spark.for.Big.Data.Processing.part3.rar.html Fikper Free Download https://fikper.com/ERnEEicX2m/oehgr.Learning.Apache.Spark..Master.Spark.for.Big.Data.Processing.part3.rar.html https://fikper.com/XuDk9MOl6q/oehgr.Learning.Apache.Spark..Master.Spark.for.Big.Data.Processing.part2.rar.html https://fikper.com/nRI1NYRzQY/oehgr.Learning.Apache.Spark..Master.Spark.for.Big.Data.Processing.part1.rar.html No Password - Links are Interchangeable

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pdf | 34.68 MB | English| Isbn:9780071602891 | Author: Mark Lester, Daniel Franklin, Terry Yokota | Year: 2009 Description: Category:Reference, English Language Reference, Foreign Language Study Aids & Dictionaries, English Grammar, ESL (English as a Second Language) - Reference https://fileaxa.com/5aexu5e1sq29 https://ddownload.com/swdleynlflwp https://rapidgator.net/file/80cd67d5860f5d4b672233d5aec97dae/ https://turbobit.net/6giuwyjk9qfp.html

The Big Issue - 28 October 2024 English | 72 pages | True PDF | 40.2 MB The Big Issue is one of Britain's leading news and cultural magazines. Every week's edition is packed full of original takes on the biggest issues of the day as well as interviews with the most significant figures in politics and entertainment. The Big Issue was founded 1991 to give people experiencing homelessness the opportunity to earn their own income. We continue to support hundreds of vendors across the UK and all proceeds from sales go to help anyone wanting to lift themselves out of poverty. [img=https://ddownload.com/images/promo/banner_240-32.png] https://ddownload.com/p9gpem6ukmk3 https://rapidgator.net/file/a49e72d70bae0f8f632202266d1fe242/ https://turbobit.net/igh6oiinhk7q.html

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Free Download Big Data Analytics with Hadoop and Apache Spark (2024) Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 51m | Size: 119 MB Apache Hadoop was a pioneer in the world of big data technologies, and it continues to lead in enterprise big data storage. Apache Spark is the top big data processing engine and provides an impressive array of features and capabilities. When used together, the Hadoop Distributed File System (HDFS) and Spark can provide a truly scalable setup for big data analytics. In this course, data analytics expert Kumaran Ponnambalam shows you how to leverage these two technologies to build scalable and optimized data analytics pipelines. Explore ways to optimize data modeling and storage on HDFS; discuss scalable data ingestion and extraction using Spark; and review actionable tips for optimizing data processing in Spark. Plus, complete a use case project that allows you to practice your new techniques. Homepage https://www.linkedin.com/learning/big-data-analytics-with-hadoop-and-apache-spark-24658440 TakeFile https://takefile.link/w0zy9iimazaw/rcymx.Big.Data.Analytics.with.Hadoop.and.Apache.Spark.2024.rar.html Rapidgator https://rg.to/file/c2aa6957b523d1208f0d282967f7e844/rcymx.Big.Data.Analytics.with.Hadoop.and.Apache.Spark.2024.rar.html Fikper Free Download https://fikper.com/zuaXVhI7bl/rcymx.Big.Data.Analytics.with.Hadoop.and.Apache.Spark.2024.rar.html No Password - Links are Interchangeable

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Free Download Google Cloud Big Data and Machine Learning Fundamentals (2024) Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 2h 26m | Size: 240 MB This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud. Homepage https://www.pluralsight.com/courses/google-cloud-big-data-machine-learning-fundamentals-6 TakeFile https://takefile.link/hs3nph95rx2w/bwhhh.Google.Cloud.Big.Data.and.Machine.Learning.Fundamentals.2024.rar.html Rapidgator https://rg.to/file/ea07dc797a799317d467b815cea3a593/bwhhh.Google.Cloud.Big.Data.and.Machine.Learning.Fundamentals.2024.rar.html Fikper Free Download https://fikper.com/QJm9pNQSiW/bwhhh.Google.Cloud.Big.Data.and.Machine.Learning.Fundamentals.2024.rar.html No Password - Links are Interchangeable

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