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Integration

How to handle errors on elastic.io

You can see if any of your flows have errors as soon as you log in to your dashboard. It shows you the number of records processed in total – in green – and the number of records with errors – in red. You can also see the same information if you click on the corresponding flow from the dashboard. In my case, you can see I have three records processed and all three returned errors.

Advanced data mapping techniques - The passthrough feature

Let’s start by naming our flow. Here we are taking the webhook connector as our trigger. In case you skipped our previous short tutorial on webhooks, you need to copy this link and paste it in an empty tab to receive a sample. Now we are going to modify the sample – or correctly speaking, add it manually. These are just sample values to demonstrate how the passthrough feature works, so there is no point in seeking any deep meaning in them.

Creating value from legacy data - The whys and the hows of legacy system integration

While there are many challenges young companies might struggle with, they certainly escaped one that is a blessing and a curse at the same time – the legacy IT systems. Data is indeed one of the companies’ most valued assets, as knowledge (read, ‘data’) empowers better, more informed business decisions. Moreover, chances are your organization already has most of the knowledge it needs. The only caveat, though, is that it might be inaccessible and therefore, pretty useless.

Databases Demystified Lesson Distributed Databases Part 3

In this episode of Michael Kaminksy's Databases Demystified, he explores: What does “consensus” mean and why is it important? Learn about the two-generals problem and what it teaches us about reaching consensus Learn about the main consensus algorithms in distributed databases: Raft & Paxos

Databases Demystified Lesson 1 Introduction to Databases and SQL

In the first episode of Databases Demystified with Michael Kaminsky, we give a high-level overview of the most important concepts in databases. We start with a brief history of databases going from the invention of relational databases through present day and we talk about the differences between analytical and transactional databases, distributed and single-node databases, and in-memory vs on-disk databases We finish up talking briefly about SQL and what makes it special.