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Manisha Jain

Manisha automates critical projects, lauded by Business Team. Passionate about data architecture, designing products enabling businesses to be data-driven.

Lead Consultant | Data Engineer at ThoughtWorks
Talks about

She advocates Data Products & Mesh, while being a prolific writer & collaborator focused on Data Mesh Developer Experience for scalable value delivery.

data platform
data products
data mesh
data quality
data management
Badges
Data Mesh Expert
Data Developer Buddy

Highlights

See the "what". Explore their accomplishments, groundbreaking projects, and industry recognition. Witness how they're shaping the future of data.

Guide to Building an Amazon.com for Data Product

Notable Contributions

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Insights

Unlock the "why". Dive into interviews, blogs, and videos where thought leaders unpack their insights. Go beyond the resume, connect with the mind behind the expertise.

Data Product
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Blog
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5 min

How to Build Data Products | Evolve: Part 4/4

The Data Product Lifecycle is not a linear but a continuous progression, and Stage 4, or the Evolution Phase, creates a concrete bridge to the initial Design Stage, contributing to the expansion and stabilisation of data products over time so domains can reap long-term value instead of kickstarting heavy and costly data initiatives every few months.
Data Product
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Blog
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5 min

How to Build Data Products? Deploy: Part 3/4

The deployment of data products is the crux of Stage 3 in the Data Product Lifecycle series.
Data Engineering
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Podcast
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86 min

Building Your Early Mesh Data Platform and Data Product Capabilities

In this episode, Scott interviews Manisha Jain, data engineer at thoughtworks. She shares her views on how to get going with data mesh in detail.
Data Engineering
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Blog
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5 min

A streamlined developer experience in Data Mesh(pt. 1)

In the data mesh journey, the platform team plays a critical part: they build the self-serve platform. In this blog, we cover everything the platform team needs to consider when building it.
Data Engineering
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Blog
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5 min

A streamlined developer experience in Data Mesh (Pt. two)

This is the second blog in a two part series exploring how we created a streamlined developer experience in data mesh. You can read part one here, or, if you need more background, learn more about the Data Mesh architecture from a high-level perspective here. Everything here is based on our experience working with a large health care provider.
Data Engineering
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Podcast
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58 min

Data Mesh - The Four Principles

A deep dive into the four key principles in the Data Mesh platform.
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Data Feast Weekly

Get weekly insights on modern data delivered to your inbox, straight from our hand-picked curations!