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  Author: Baturi   |   26 September 2024   |   comments: 0
Bodyweight Home Workout – Full–Body Fitness
Free Download Bodyweight Home Workout – Full–Body Fitness
Published 9/2024
Created by Cristian Alberto | 200+ Alunos
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 28 Lectures ( 1h 58m ) | Size: 2.6 GB

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  Author: Baturi   |   26 September 2024   |   comments: 0
Behavioral Finance – Introduction To Market Efficiency
Free Download Behavioral Finance – Introduction To Market Efficiency
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.13 GB | Duration: 2h 31m
This course unpacks the various forms of market efficiency and outlines ten popular market efficiency challenges.

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  Author: Baturi   |   26 September 2024   |   comments: 0
Ba Ii Plus Professional Calculator Mastery
Free Download Ba Ii Plus Professional Calculator Mastery
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 652.28 MB | Duration: 1h 38m
Upgrade Your Proficiency with the BA II Plus Professional Calculator

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  Author: Baturi   |   26 September 2024   |   comments: 0
Azure Infrastructure as Code with ARM, Bicep, Terraform, and Pulumi
Free Download Azure Infrastructure as Code with ARM, Bicep, Terraform, and Pulumi
Released 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 20m | Size: 321 MB
Looking to learn more about the power of infrastructure as code (IaC)? Join instructor Mike Benkovich as he provides an in-depth exploration of managing Microsoft Azure infrastructure using IaC tools. This course covers the core concepts and skills required to leverage tools such as Azure CLI, ARM, and Bicep, as well as third-party options like Terraform and Pulumi. Test out your newly acquired skills along the way with hands-on demonstrations and practical exercises in GitHub. This course is designed for anyone who already has a basic understanding of cloud concepts in Azure but is still new or relatively inexperienced with IaC in an Azure environment. By the end of this course, you'll also have a better understanding of the impact of AI on IaC tooling with real-world examples drawn from ChatGPT and Copilot.

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  Author: Baturi   |   26 September 2024   |   comments: 0
Automation Tools For Programmers With Github Copilot
Free Download Automation Tools For Programmers With Github Copilot
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.57 GB | Duration: 2h 30m
Master AI-Powered Coding Tools to Boost Productivity and Accelerate Development.

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  Author: Baturi   |   26 September 2024   |   comments: 0
Automation Tools For Everyone – A Beginner'S Guide
Free Download Automation Tools For Everyone – A Beginner'S Guide
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 749.97 MB | Duration: 1h 42m
Master AI and automation tools to save time, boost productivity, and simplify daily tasks—perfect for beginners.

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  Author: Baturi   |   26 September 2024   |   comments: 0
Automation Tools For Designers – Revolutionize Your Workflow
Free Download Automation Tools For Designers – Revolutionize Your Workflow
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 768.67 MB | Duration: 1h 3m
Unleash Your Creativity with AI-Powered Design Automation

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  Author: Baturi   |   26 September 2024   |   comments: 0
Automation Tools For Business & Marketing
Free Download Automation Tools For Business & Marketing
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.28 GB | Duration: 2h 0m
Master powerful automation tools to streamline business operations, boost productivity, & drive growth!

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  Author: Baturi   |   26 September 2024   |   comments: 0
Architecting Serverless Big Data Solutions Using Google Dataflow
Free Download Architecting Serverless Big Data Solutions Using Google Dataflow
Duration: 2h 15m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 271 MB
Genre: eLearning | Language: English
Dataflow represents a fundamentally different approach to Big Data processing than computing engines such as Spark. Dataflow is serverless and fully-managed, meaning that provisioning resources and scaling can be transparent to the data architect.
Dataflow allows developers to process and transform data using easy, intuitive APIs. Dataflow is built on the Apache Beam architecture and unifies batch as well as stream processing of data. In this course, Architecting Serverless Big Data Solutions Using Google Dataflow, you will be exposed to the full potential of Cloud Dataflow and its radically innovative programming model. You will start this course off with a basic understanding of how Dataflow works for serverless compute. You'll study the Apache Beam API used to build pipelines and understand what data sources, sinks, and transformations are. You'll study the stages in a Dataflow pipeline and visualize it as a directed-acyclic graph. Next, you'll use Apache Beam APIs to build pipelines for data transformations in both Java as well as Python and execute these pipelines locally and on the cloud. You'll integrate your pipelines with other GCP services such as BigQuery and see how you can monitor and debug slow pipeline stages. Additionally, you'll study different pipeline architectures such as branching and pipelines using side inputs. You'll also see how you can apply windowing operations to perform aggregations on our data. Finally, you'll work with Dataflow without writing any code using pre-built Dataflow templates that Google offers for common operations. At the end of this course, you should be comfortable using Dataflow pipelines to transform and process your data and integrate your pipelines with other Google services.

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  Author: Baturi   |   26 September 2024   |   comments: 0
Applying Real–time Processing Using Apache Storm
Free Download Applying Real–time Processing Using Apache Storm
Duration: 2h 15m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 320 MB
Genre: eLearning | Language: English
Storm lets you to work with large scale streaming data using it's distributed real-time processing architecture. This course discusses the components of Storm topologies and how to use Storm for applying machine learning in real-time.
Storm is meant to be to used for distributed real-time processing, the way Hadoop is used for distributed batch processing. With Storm, you can process informations such as trends and breaking news and react to it in real-time. In this course, Applying Real-time Processing Using Apache Storm, you'll learn how to apply Storm for real-time processing. First, you'll discover how to set up a data processing pipeline using Storm topologies. Next, you'll explore parallelization by controlling data flows between components. Then, you'll cover how to perform complex data transforms using the Trident API. Finally, you'll learn how to apply machine learning models in real-time. By the end of this course, you'll be able to build your own Storm applications for different real-time processing tasks.

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