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Articles by Abizer Jafferjee
Deploy Lambdas fast with AWS CodePipeline
A continuous deployment pipeline for deploying your code changes on AWS There’s a lot of reasons why setting up a good software release pipeline is important. Programmers typically spend more time testing and deploying code than they do making improvements if they don’t have a pipeline set up. Ideally, we’d like to just push code to our repository and let the pipeline take care of packaging, testing and releasing changes to our environments.
Handling DNS and SSL/TLS for your AWS Kubernetes Cluster
A quick rundown for connecting your Kubernetes services to your domain on AWS So you’ve created a Kubernetes cluster on AWS, deployed some applications on it and are finally ready to show off what you’ve built to the world. But you need to get your head around connecting a domain to your app and setting up SSL/TLS. I’ve been at a similar point before, so I’ve written this quick run down so you don’t have to go down the Kubernetes rabbit hole to find your answers.
SSL/TLS for your Kubernetes Cluster with Cert-Manager
Setting up secure connections for users when they browse your domains If you’ve landed on this article from Handling DNS and SSL/TLS for your AWS Kubernetes Cluster then you’ve got your domain routing traffic for some services on your cluster, but your users are still seeing that pesky message on their browser telling them it’s an insecure connection. Let’s fix that. SSL certificates are needed so that a browser can create a secure connection with your services.
Clean and unify your data with machine learning
The biggest problem data scientist face today is dirty data. When it comes to real world data, inaccurate and incomplete data are the norm rather than the exception. The root of the problem is at the source where data being recorded does not follow standard schemas or breaks integrity constraints. The result is that dirty data gets delivered downstream to systems like data marts where it is very difficult to clean and unify, thus making it unreliable to utilize for analytics.
Exploring Covid-19 Dataset
Photo by Forest Simon on Unsplash In this article we will discuss about handling Covid-19 dataset through various steps such as loading the data into data frame, cleaning the data, extracting statistics from it and finally do some visualizations from which we can draw some conclusions based on the facts provided by the data.
Building a Modern Analytics Stack
Photo by NASA on Unsplash Companies of all sizes across all industries are quickly learning that in order for them to remain competitive they must embrace a culture where decisions are backed by data and made quickly, across all their operations.
Setting up Snowflake for your analytics stack
Photo by Ben Senior on Unsplash Snowflake is a cloud-based analytics data warehouse that has become increasingly popular due to its no maintenance, easy to use and flexible service. By separating compute and storage with a usage-based pricing model, Snowflake is able to easily scale with changing data, workload and concurrency needs. If you’re just getting started with Snowflake, wait a second before you jump into deploying a few ad hoc resources and building your analytics application.
A Guide on Marketing Analytics
Photo by Hello I'm Nik 🎞 on Unsplash As the buyer’s journey becomes even more complex and marketing is seen as a cost centre, marketing teams must rely on analytics to measure the impact of their efforts. Traditionally, marketing efforts were often seen as something that’s hard to quantify in terms of impact to revenue, but with better analytics tools it can become easier to tie marketing to revenue.
Streaming real-time data into Snowflake with Amazon Kinesis Firehose
Photo by Joao Branco on Unsplash Businesses today can benefit in real-time from the data they continuously generate at massive scale and speed from various data sources. Whether it is clickstream data from websites, telemetry data from IoT devices or log data from applications, continuously analysing that data can help businesses learn what their customers, applications and products are doing right now and react promptly.
Developing a customer churn prediction model with Snowflake and Amazon SageMaker
Photo by Darius Cotoi on Unsplash A simple setup to showcase how powerful cloud technologies can move your business forward. Churn rate is the rate at which users stop paying for a product or service from your company. Calculating your churn rate will help your business analyse past performance and forecast future performance. Tracking the metric and implementing ways to minimise it are crucial to help improve the health of your business.
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