Big Data LDN – Decouple Storage From Compute
– Sale page –
Kaggle’s state of data science and machine learning survey showed in some industries that up to 92% of people say that bad, unavailable, or difficult to access data is one of the top barriers to success in data and analytic projects. This is a problem because without data there is no AI. The volume and types of data that organisations need to store and process is increasing. Large data appliances that run 24/7 are often unsuitable when designing and implementing cost effective data architectures. Fortunately cloud platforms have a number of services that can help us develop and deliver a modern, cost effective and flexible data architecture. This talk will outline and demonstrate a number of services in AWS to achieve this.
The talk will start with taking a look at S3 as a storage layer that is decoupled from our compute services. We will look at discovery and classification of data in S3 using Glue and Macie and how we can apply appropriate lifecycle management and security. Moving on to the various types of processing a data project may require, Matt Houghton will look at Lambda and Glue for ETL and Athena and Redshift for query and analysis. We will look at the ready baked machine learning services available that can jump start your AI/ML capabilities. Finally we will look at how we can put data directly into the hands of decision makers using QuickSight and Alexa and deliver a self service BI capability.
Digital Download Big Data LDN – Decouple Storage From Compute
The Course Is Available For Immediate Download
All These Courses Are Instant Delivery Using Our Private Server (Mega.nz, Google Drive)
- Instant Access
- Easy fast One-Click download
- No wait times and DON’T need premium accounts
- The courses are up to date and will receive ALL the updates from the creators
1. After payment, you will instant receive a link from our PRIVATE server to download all the content from the course (videos, audios, docs, pdf, screenshots, etc.)
2. You only need to click on the link, and you will have access to an online folder with the content of the course. You can download the whole course as a zip file or you can choose a specific file to download.
ABOUT INSTRUCTOR
