Armchair Architects: Data and Apps—How is data changing (Part 1)

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2023Mar 28

On the #AzureEnablementShow, we’ve had several discussions about how applications are changing, which made us think that data is probably changing as well. In this two-part conversation, David Blank-Edelman talks to Uli Homann and Eric Charran (‪@mougue‬)—our #ArmchairArchitects—the shift from systems-of-record to real-time analytics and synchronous processing (spoiler alert: they’re not the same thing). Resources • Azure Data Explorer https://dataexplorer.azure.com/ Related Episodes • Armchair Architects: Data and Apps—How is data changing (Part 2) https://aka.ms/azenable/112 • Armchair Architects: Hybrid and Multi-Cloud Architectures: An Introduction https://aka.ms/azenable/64 • Armchair Architects: How architecture is changing – Containers and Collaboration Environments https://aka.ms/azenable/68 • Armchair Architects: How architecture is changing – Low-code Development https://aka.ms/azenable/70 • Armchair Architects: How architecture is changing – Serverless https://aka.ms/azenable/69 To watch more episodes in the Well-Architected series, check out our playlist: https://aka.ms/azenable/yt/wa-playlist To watch more episodes in the Armchair Architects series, check out this playlist: https://aka.ms/armchairarchitects Chapters 0:00 Introduction 1:08 Eric says that data is changing based on the way that people are using apps 2:52 Uli seeks to clarify terms such as data temperature, and talks about real-time analytics vs. synchronous processing 6:24 Uli discusses the historical shifts in data from systems of record to an increased prominence of data analytics 8:41 The timeliness and hierarchy of decision-making can be viewed as a funnel 9:53 Uli discusses modern analytics using the street behind him to illustrate his point 12:48 When is the right time to use stream analytics and when should you employ prescriptive analytics? 15:00 Contextualizing data coming from the edge is key

Introduction

0:00

Eric says that data is changing based on the way that people are using apps

1:08

Uli seeks to clarify terms such as data temperature, and talks about real-time analytics vs. synchronous processing

2:52

Uli discusses the historical shifts in data from systems of record to an increased prominence of data analytics

6:24

Transcript

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Microsoft Developer

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Armchair Architects: Data and Apps—How is data changing (Part 1)

Chapters View all

Introduction

Introduction

Introduction

Eric says that data is changing based on the way that people are using apps

Eric says that data is changing based on the way that people are using apps

Eric says that data is changing based on the way that people are using apps

Uli seeks to clarify terms such as data temperature, and talks about real-time analytics vs. synchronous processing

Uli seeks to clarify terms such as data temperature, and talks about real-time analytics vs. synchronous processing

Uli seeks to clarify terms such as data temperature, and talks about real-time analytics vs. synchronous processing

Uli discusses the historical shifts in data from systems of record to an increased prominence of data analytics

Uli discusses the historical shifts in data from systems of record to an increased prominence of data analytics

Uli discusses the historical shifts in data from systems of record to an increased prominence of data analytics

The timeliness and hierarchy of decision-making can be viewed as a funnel

The timeliness and hierarchy of decision-making can be viewed as a funnel

The timeliness and hierarchy of decision-making can be viewed as a funnel

Uli discusses modern analytics using the street behind him to illustrate his point

Uli discusses modern analytics using the street behind him to illustrate his point

Uli discusses modern analytics using the street behind him to illustrate his point

When is the right time to use stream analytics and when should you employ prescriptive analytics?

When is the right time to use stream analytics and when should you employ prescriptive analytics?

When is the right time to use stream analytics and when should you employ prescriptive analytics?

Contextualizing data coming from the edge is key

Contextualizing data coming from the edge is key

Contextualizing data coming from the edge is key

Microsoft Developer

Armchair Architects: Data and Apps—How is data changing (Part 1)

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Chapters

Introduction

Introduction

Introduction

Eric says that data is changing based on the way that people are using apps

Eric says that data is changing based on the way that people are using apps

Eric says that data is changing based on the way that people are using apps

Uli seeks to clarify terms such as data temperature, and talks about real-time analytics vs. synchronous processing

Uli seeks to clarify terms such as data temperature, and talks about real-time analytics vs. synchronous processing

Uli seeks to clarify terms such as data temperature, and talks about real-time analytics vs. synchronous processing

Uli discusses the historical shifts in data from systems of record to an increased prominence of data analytics

Uli discusses the historical shifts in data from systems of record to an increased prominence of data analytics

Uli discusses the historical shifts in data from systems of record to an increased prominence of data analytics

The timeliness and hierarchy of decision-making can be viewed as a funnel

The timeliness and hierarchy of decision-making can be viewed as a funnel

The timeliness and hierarchy of decision-making can be viewed as a funnel

Uli discusses modern analytics using the street behind him to illustrate his point

Uli discusses modern analytics using the street behind him to illustrate his point

Uli discusses modern analytics using the street behind him to illustrate his point

When is the right time to use stream analytics and when should you employ prescriptive analytics?

When is the right time to use stream analytics and when should you employ prescriptive analytics?

When is the right time to use stream analytics and when should you employ prescriptive analytics?

Contextualizing data coming from the edge is key

Contextualizing data coming from the edge is key

Contextualizing data coming from the edge is key

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Chapters View all

Introduction

Introduction

Introduction

Eric says that data is changing based on the way that people are using apps

Eric says that data is changing based on the way that people are using apps

Eric says that data is changing based on the way that people are using apps

Uli seeks to clarify terms such as data temperature, and talks about real-time analytics vs. synchronous processing

Uli seeks to clarify terms such as data temperature, and talks about real-time analytics vs. synchronous processing

Uli seeks to clarify terms such as data temperature, and talks about real-time analytics vs. synchronous processing

Uli discusses the historical shifts in data from systems of record to an increased prominence of data analytics

Uli discusses the historical shifts in data from systems of record to an increased prominence of data analytics

Uli discusses the historical shifts in data from systems of record to an increased prominence of data analytics

Microsoft Developer

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Chapters