Data - Tom Kerkhove

Tom Kerkhove

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Data

A collection of 12 posts

MVP Summit, Techdays Finland, NDC Minnesota, Techorama & Intelligent Cloud Conference

MVP Summit, Techdays Finland, NDC Minnesota, Techorama & Intelligent Cloud Conference

Lately, my blog has been pretty quiet and thats for a reason - I've been pretty busy with travelling, coding and preparing talks.

Talking Azure Data Factory on RunAs Radio

Talking Azure Data Factory on RunAs Radio

A while back I wrote about how you can use Azure Data Factory to build next generation of data integration piplines [https://blog.tomkerkhove.be/2017/12/14/azure-data-factory-2-0-next-generation-data-integration/] and how is it compares to Azure Logic Apps [https://blog.tomkerkhove.be/2017/12/22/azure-data-factory-2-0-how-is-it-different-from-azure-logic-apps/] . Recently I was thrilled

Azure Data Factory 2.0 - How is it different from Azure Logic Apps?

> TL;DR - Azure Logic Apps & Azure Data Factory are both orchestrators, but how do they differ from each other? Well, combining both are the sweet spot. In my previous post [https://blog.tomkerkhove.be/2017/12/14/azure-data-factory-2-0-next-generation-data-integration/] , we've went through the new features of Azure Data Factory 2.

Azure Data Factory 2.0 - Next Generation of Data Integration

> TL;DR - Microsoft announced Azure Data Factory v2 at Ignite bringing that enables more data integration scenarios and brings SSIS into the cloud. Azure Data Factory is one of those services in Azure that is really great but that doesn't get the attention that it deserves. It is a

Security & Data Announcements at Ignite 2017

A few weeks ago, Microsoft held another edition of its Ignite conference in Orlando, FL. After going through most of the announcements and digesting them I found that there were a couple of interesting ones in the security & data space. Let's have a closer look. Introducing Virtual Network Service Endpoints

Speaking at NDC Sydney 2017 on Azure Data Lake

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Speaking at NDC Sydney 2017 on Azure Data Lake

Are you going to NDC Sydney August 14th - 18th 2017? So will I! I have the honor to do a talk on Azure Data Lake & Analtics called "Analyzing StackExchange data with Azure Data Lake". By using a data dump of the well-known StackExchange websites, I will show you how

Mastering Azure Analytics, Integration of Things, Techorama and more!

It's been a while since I've written a new post for the simple reason that I didn't have any time left. Behind the scenes I was doing a ton of things that you might like. Here we go! Mastering Azure Analytics by Zoiner Tejada I had the oppertunity and honor

TechDays NL 2016 - Building your scalable & secure Internet-of-Things on Microsoft Azure

TechDays NL 2016 - Building your scalable & secure Internet-of-Things on Microsoft Azure

A couple of weeks ago I did a talk about designing & building an Internet-of-Things solution on Azure that aims at scalability & security at TechDays NL. Unfortunately there is no silver bullet for designing IoT systems, well there is no silver bullet in general. The talk is aimed to ask the

Determining what data storage fits your needs in Azure

Microsoft Azure offers a great variaty of data stores in different flavors. While this is great it also makes it a lot harder to determine which one fits your needs best. Today I found this great flow chart that helps you tackle this problem by focusing on data structure, the

Analyzing StackExchange data with Azure Data Lake - Introduction

A few weeks ago I wrote about what Microsoft announced on Azure Data Lake [https://tomkerkhove.ghost.io/2015/10/22/exploring-azures-data-lake/] and what you can expect. As of Wednesday 28th of October, Azure Data Lake Store & Analytics are now in public preview allowing you to try it out yourself.

Exploring Azure's Data Lake

Microsoft Azure

Exploring Azure's Data Lake

Recently Microsoft revealed their plans for Azure Data Lake and how it groups several big data services in Azure under one umbrella. In this blog post I'll walk you through what it offers and how it enable you to re-use your existing skills to analyse big data. What is Azure