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Kafka to MongoDB: Building a Streamlined Data Pipeline

Analytics Vidhya

We know that streaming data is data that is emitted at high volume […] The post Kafka to MongoDB: Building a Streamlined Data Pipeline appeared first on Analytics Vidhya. Handling and processing the streaming data is the hardest work for Data Analysis.

MongoDB 217
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Building ETL Pipelines With Generative AI

Data Engineering Podcast

Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI. How can you get the best results for your use case?

Building 162
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How to Build and Monitor Systems Using Airflow?

Analytics Vidhya

Imagine scheduling your ML tasks to run automatically without the need for manual […] The post How to Build and Monitor Systems Using Airflow? Airflow can help you manage your workflow and make your life easier with its monitoring and notifications features. appeared first on Analytics Vidhya.

Systems 214
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Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

Data Engineering Podcast

Summary Building streaming applications has gotten substantially easier over the past several years. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. How can you get the best results for your use case?

Process 182
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating at the level of a FAANG company!

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Building A Data Mesh Platform At PayPal

Data Engineering Podcast

Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. We feel your pain. It ends up being anything but that. You can't optimize for everything all at once.

Building 147
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5 Reasons to Attend BUILD 2023: The Dev Conference for AI & Apps

Snowflake

BUILD 2023 is where AI gets real. Join our two-day virtual global conference and learn how to build with the app dev innovations you heard about at Snowflake Summit and Snowday. As always, BUILD is created by builders, for builders, so you’ll find plenty to spark your interest and boost your skill set.

Building 111
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How to Build Data Experiences for End Users

Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.

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Why “Build or Buy?” Is the Wrong Question for Analytics

Every time an application team gets caught up in the “build vs buy” debate, it stalls projects and delays time to revenue. Partnering with an analytics development platform gives you the freedom to customize a solution without the risks and long-term costs of building your own. There is a third option.

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The Essential Guide to Building Analytic Applications

Download this eBook to discover insights from 16 top product experts, and learn what it takes to build a successful application with analytics at its core. What should product managers keep in mind when adding an analytics project to their roadmap?

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Create actual artifacts for your products: With the practical experience provided in this session, apply these tools to real-world product management scenarios to build journey and impact maps for actual users & products.

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From Build to Buy: The Path to Better Analytics for Your Application

Speaker: Ardeshir Ghanbarzadeh, Senior Product Marketing Manager, Logi Analytics

Making the transition from building your analytics in-house to investing in a third-party embedded solution can be complicated.

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3 Challenges of Building Complex Dashboards with Open Source Components

Speaker: Ryan MacCarrigan, Founding Principal, LeanStudio

Many product teams use charting components and open source code libraries to get dashboards and reporting functionality quickly. But what happens when you have a growing user base and additional feature requests?

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The Definitive Guide to Predictive Analytics

The Definitive Guide to Predictive Analytics has everything you need to get started, including real-world examples, steps to build your models, and solutions to common data challenges. What You'll Learn: 7 steps to embed predictive analytics in your application—from identifying a problem to solve to building your prototype.

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The Definitive Guide to Embedded Analytics

We hope this guide will transform how you build value for your products with embedded analytics.