Speaker

Neil M

Neil M

Senior Architect

London, United Kingdom

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Talk to me for scalable analytics (Azure Synapse, Azure Data Explorer [ADX], Event Hub, Event Grid, Azure Data Factory [ADF], Data Lake [ADLS], Lakehouse, batch / micro-batch / streaming data), rapid visualisation of your data and gaining insights from that data.

Topics

  • Analytics
  • Streaming Data Analytics
  • Data Analytics
  • Azure Synapse Analytics
  • Big Data Analytics
  • Database and Analytics
  • Cloud analytics
  • Azure Synapse Analytics (formerly Azure SQL DW)
  • Microsoft (Azure) Analytics
  • Analytics and Big Data

Scalable Analytics in minutes? Simple....

Ingest high volume +/- data at velocity, whether structured or semi-structured, in a scalable Azure pipeline. Visualise this within minutes and provide your Data Scientists with a true analytical capability. This cost-effective & scalable Azure pipeline utilises Azure Synapse - Data Explorer Pools / Azure Data Explorer (ADX), Data Lake (ADLS) and Azure Data Factory (ADF). To include a Git repo to "try it out" on your own.

Schema on-read and complex data structures?! Azure Synapse-Data Explorer Pools / ADX to the rescue!

Analytical insights are one of the key requirements nowadays. Address orchestrating complex data structures, combined with schema on-read, in a "Big Data" environment. With tight integration with the Azure data platform, Azure Synapse Analytics - Data Explorer Pools / Azure Data Explorer [ADX/Kusto] caters for batch, micro-batch and streaming scenarios. With a few lines of code data can be persisted for visualisation +/- analytical insights within minutes. To include a demo of 'lights out' automated ingestion of highly complex (21,000 row) JSON files.

Neil M

Senior Architect

London, United Kingdom

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