Egghead.io – Scalable Offline-Ready Graphql Applications With AWS AppSync and React

Egghead.io – Scalable Offline-Ready Graphql Applications With AWS AppSync and React-APoLLo
English | Size: 197.88 MB
Category: Tutorial


With GraphQL, you can define the shape of your data in a schema, and GraphQL will fulfill the request with the precise data you need. When you need it. This doesn’t come without a cost. GraphQL adds a lot of complexity to your application by requiring you to define your schemas through types, mutations, and resolvers. [Read more…]

PluralSight – Designing Scalable And Fault Tolerant Systems Within AWS

PluralSight – Designing Scalable And Fault Tolerant Systems Within AWS-REBAR
English | Size: 284.94 MB
Category: Tutorial

Shifting to the public cloud presents several different scenarios that need to be accounted for. Resiliency is a key fundamental of cloud architectures and a critical component of the Well-Architected Framework. In this course, Designing Scalable and Fault-tolerant Systems within AWS, you’ll learn to architect fault-tolerant and scalable systems within AWS. First, you’ll explore how to design stateless architectures. Next, you’ll discover how to implement auto-scaling and load balancing within your applications. Finally, you’ll learn how to utilize AWS networking and content delivery services to meet your requirements. When you’re finished with this course, you’ll have the skills and knowledge of creating scalable and resilient applications needed to implement a successful application within AWS. [Read more…]

Packt – Scalable Data Analysis in Python with Dask

Packt – Scalable Data Analysis in Python with Dask-JGTiSO
English | Size: 1.10 GB
Category: Packt


Learn
Understand the concept of Block algorithms and how Dask leverages it to load large data.
Implement various example using Dask Arrays, Bags, and Dask Data frames for efficient parallel computing
Combine Dask with existing Python packages such as NumPy and Pandas
See how Dask works under the hood and the various in-built algorithms it has to offer
Leverage the power of Dask in a distributed setting and explore its various schedulers
Implement an end-to-end Machine Learning pipeline in a distributed setting using Dask and scikit-learn
Use Dask Arrays, Bags, and Dask Data frames for parallel and out-of-memory computations
About
Data analysts, Machine Learning professionals, and data scientists often use tools such as Pandas, Scikit-Learn, and NumPy for data analysis on their personal computer. However, when they want to apply their analyses to larger datasets, these tools fail to scale beyond a single machine, and so the analyst is forced to rewrite their computation.
[Read more…]

Packt – Scalable Data Analysis in Python with Dask

Packt – Scalable Data Analysis in Python with Dask
English | Size: 1.09 GB
Category: Programming | E-learning


Learn
Understand the concept of Block algorithms and how Dask leverages it to load large data.
Implement various example using Dask Arrays, Bags, and Dask Data frames for efficient parallel computing
Combine Dask with existing Python packages such as NumPy and Pandas
See how Dask works under the hood and the various in-built algorithms it has to offer
Leverage the power of Dask in a distributed setting and explore its various schedulers
Implement an end-to-end Machine Learning pipeline in a distributed setting using Dask and scikit-learn
Use Dask Arrays, Bags, and Dask Data frames for parallel and out-of-memory computations
About
Data analysts, Machine Learning professionals, and data scientists often use tools such as Pandas, Scikit-Learn, and NumPy for data analysis on their personal computer. However, when they want to apply their analyses to larger datasets, these tools fail to scale beyond a single machine, and so the analyst is forced to rewrite their computation.
[Read more…]

Big Data Principles and Best Practices of Scalable Realtime Data Systems

Big Data Principles and Best Practices of Scalable Realtime Data Systems
English | Size: 252.36 MB
Category: Audio boook

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You’ll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you’ll learn specific technologies like Hadoop, Storm, and NoSQL databases. [Read more…]

Packt Publishing – Building A Scalable Serverless Application on AWS

Packt Publishing – Building A Scalable Serverless Application on AWS
English | Size: 410.60 MB
Category: CBTs

Next generation Serverless and scalable applications from the ground up, leveraging Amazon’s application services, including API Gateway, Lambda, Cloudfront, DynamoDB, S3, and SQS

The course will show viewers how to build a fully serverless, fully scalable application from the ground up, leveraging some of Amazon’s suite of application services,quickly progressing from gaining an understanding of what it is to be “serverless”, and how some of this cutting-edge technology can help us to build serverless applications, before we move on to designing and implementing our very own serverless API followed by understanding the benefits of next-generation serverless architecture. [Read more…]