ETL in the Cloud With Microsoft Azure
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Short introduction to different options for ETL & ELT in the Cloud with Microsoft Azure. This is a small accompanying set of slides for my presentations and blogs on this topic
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Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
What is Model Context Protocol(MCP) - The new technology for communication bw...
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
ETL in the Cloud With Microsoft Azure
- 1. Microsoft ETL in the Cloud Microsoft Azure Cloud Data Platform Mark Kromer Microsoft Azure Cloud Data Architect @kromerbigdata @mssqldude
- 2. What is ETL? • Acronym for “Extract, Transform and Load” • Classic form of data movement, aggregation, summarization, cleansing and loading a Data Warehouse • More loosely defined as data management processes that clean, move and aggregate data • Formal ETL processes are typically scheduled (i.e. hourly, nightly, monthly) • Not real-time, although micro-batch ETL systems are quite common
- 3. Classic Enterprise ETL in the Cloud with Azure Microsoft and ISV Marketplace common offerings (Examples) Spin-up SQL Server VM image from the Azure Portal to run SSIS in the cloud via Azure IaaS Informatica is an Enterprise- grade ETL product suite that offers an Azure VM available in the ISV Marketplace Microsoft partner with Azure ISV Marketplace offerings including CDC. Attunity Compose can provide additional ELT/ELT capabilities.
- 4. ELT in the Cloud with Azure Data Factory ADF provides Extract, Transform and Load in the Cloud • ADF relies on external execution engines like SQL Server, Hadoop and AzureML • Provides very easy Copy Activities to get started quickly
- 5. Azure ML as an ETL Tool Transforming Data is a common task for Data Scientists and Data Engineers • AML has a fully Cloud / Web based UI with basic SQL Transformations • AML’s core capability is training and scoring data via ML models. But you don’t need to include those advanced analytics in your “data flow”. • Schedule ETL activities via ADF Data Transformations