Modern Data

I recently had the opportunity to spend some time speaking with Maxim Lukiyanov , Principal Program Manager at Microsoft’s AzureML team. I asked him what exciting things he’d been working on and he g

To enable the new breed of analysts and data scientists to deliver high quality data analytics, IT teams need to augment conventional data quality processes with modern measures aimed at improving

Right, so I promised our awesome marketing lead Lucy that I would write a post every day for a month so here is the first one! Right at the start of my Spark journey there was a bunch of things availa

So yesterday was the first day of Spark summit Europe 2017 in the beautiful city of Dublin in my (heart's & heritage) home country Ireland. Day 1 was the demo and workshop day with the rest of team El

I gave a talk last week on MMLSpark, Microsoft's latest innovation to scale and operationalise Data Science. Two posts ago you heard about Machine Learning Modelling and Experimentation which couples

Here at Elastacloud we have been using Azure Data Factory (ADF) since it initial release, I’ve recently been catching up on some of the new features that have been released over the past few months.

At Elastacloud we pride ourselves on pushing the boundaries of what is capable in the data domain. One example of this is our continuing work with Power BI Custom Visuals. We always contribute our eff

Azure Stream Analytics (ASA) allows real-time analytic computations on streaming data. Stream Analytics allows one to set both inputs and outputs for the job and the bulk of the logic/operation is

A few days ago, Microsoft announced Azure Event Grid in preview, a new service to route events from publishers to subscribers, with a lot of integration with the rest of the Azure services. Tom Kerkh

A customer currently generates XML files from operating devices and wish to gain insight into the data they are generating. They require that the data is transformed and landed in an Azure SQL Databa

Empowering data analytics is one of the mainstays of modern Cloud Computing. Approaches that may themselves be tried and tested are applied at internet scale with the co-ordinated, distributed co

I managed to meet up with Andrew Morgan at the Spark Summit who I met a few years ago when he was a regular at Data Science London and working on a time series predictive model called Trend Calculus w

Yesterday was the start of the actual conference after a great workshop day! Team Elastacloud were once again up bright and early (perhaps regretting the night before and lack of sleep), which was tri

I'm at the Spark Summit in Dublin and have been in a session with Team Elastacloud today on Spark optimisation. It has been a pretty good session. Many of the things I knew already; several things on

Last week I gave a talk to Spark London about the relatively new Microsoft Machine Learning Framework for Apache Spark, MMLSpark. For those of you that have known me for a while you'll know that I'm l

Last week I gave a talk to a packed Azure User Group on operationlizing machine learning. It's a subject I've spent a lot of time thinking about for the last couple of years. At Elastacloud I've been

A customer has a dataset that they wish to be enriched with hourly weather data, but weather depends on where you are in the world. We want to find the weather for a given time in a specific locati

Working with some customers it is often desirable for them to maintain an on-premise, operational system but have that system stream it's data to the cloud for new types of work such as analysis or bu

We've been building a system for higher level management of storage assets in a cloud context for some time. The Elastacloud Data Catalogue (EDC) manages the state, history and the utilisation of Clou

Following on from @ David 's earlier post on Excel to Cloud migrations, a different possibility is also worth considering. David's approach is valid and leverages BI technologies to bootstrap a more