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Author: datatake

Containerising Data Pipeline Components

  • by datatake
  • Posted on April 11, 2022
  • Data Pipelines

The last post in this series covered some simple Python code that leveraged twitter’s tweepy API in order to obtain tweets based on a query, sentiment score each tweet and then load these into an […]

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Building S3 Data Pipelines with Python and Boto3

  • by datatake
  • Posted on March 30, 2022March 30, 2022
  • Data Pipelines

In my last post I outlined a number of architectural options for solutions that could be implemented in light of Microsoft retiring SQL Server 2019 Big Data Clusters, one of which was data pipelines that […]

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Working With Kubernetes Contexts

  • by datatake
  • Posted on March 22, 2022
  • kubernetes

kubectl is the defacto command line tool for administering Kubernetes clusters. Connecting to a cluster via kubectl requires a Kubernetes config file, this in turn contains one or more contexts. A context is simply a […]

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Microsoft’s Analytics Road Map, SQL Server 2022 and S3 Based Data Lakes

  • by datatake
  • Posted on February 28, 2022March 1, 2022
  • Uncategorized

TL;DR This post presents some high-level architectural ideas for implementing Data Lakes using SQL Server 2022, specifically SQL Server 2022 S3 data virtualisation. Whilst SQL Server 2022 is under NDA, this post and subsequent posts […]

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Kubernetes Is Not Enough

  • by datatake
  • Posted on April 22, 2021
  • kubernetes

Someone I know had worked at an organization that needed to scale out their OpenShift clusters/footprint, they were constrained by the speed of their procurement department and were wondering if they could get by with […]

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Deploying Azure Data Services via Terraform Part 7: Deploying an Azure Arc enabled Data Services Controller

  • by datatake
  • Posted on April 5, 2021
  • Azure Arc enabled Data Services

Part seven of this series focuses on deploying an Azure Arc enabled Data Services controller to a Kubernetes cluster. As per the closing comments of the last blog post, PX Backup will be covered in […]

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Deploying Azure Data Services via Terraform Part 6: Deploying a Storage Solution to The Kubernetes Cluster

  • by datatake
  • Posted on March 24, 2021March 25, 2021
  • Azure Arc enabled Data Services

Part six of this series will focus on deploying a storage solution to our Kubernetes cluster: Where Were We ? If you have been following this blog post series you should have: a basic grasp […]

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Deploying Azure Data Services via Terraform Part 5: Deploying a Load Balancer to The Kubernetes Cluster

  • by datatake
  • Posted on March 19, 2021March 20, 2021
  • Azure Arc enabled Data Services

Our journey up the stack brings us to the installation of MetalLB – a software load balancer for Kubernetes: All the content in this series of blog posts relates to the Arc-PX-VMware-Faststart repo on GitHub, […]

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Deploying Azure Data Services via Terraform Part 4: Deploying a Kubernetes Cluster

  • by datatake
  • Posted on March 14, 2021March 15, 2021
  • Azure Arc enabled Data Services

In the last post, part 3 of this series – we started off at the bottom of the stack with the Terraform module for virtual machine creation. We continue our journey up the stack in […]

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Deploying Azure Data Services via Terraform Part 3: Deploying VMware Virtual Machines

  • by datatake
  • Posted on March 12, 2021March 14, 2021
  • Uncategorized

Part 3 of this series will begin the journey up the stack, starting with the deployment of the virtual machines that will host the Kubernetes cluster nodes: All the blog posts in this series relate […]

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