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Kafka to MongoDB: Building a Streamlined Data Pipeline

Analytics Vidhya

Introduction Data is fuel for the IT industry and the Data Science Project in today’s online world. 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.

MongoDB 217
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Build Data Engineering Projects, with Free Template

Start Data Engineering

Data project template 2.1. Introduction 2. Prerequisites 2.2. Setup infra 2.3. Tear down infra 3. Set up data infrastructure 3.1. Run data infra on your laptop with containers 3.2. Manage cloud infrastructure with code 4. Set up development workflow 4.1. CI: Automated tests & checks before the merge with GitHub Actions 4.2.

Project 147
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How to Project Schedule in Project Management

Knowledge Hut

In project management, project scheduling encompasses listing activities, defining milestones and scheduling deliverables for delivery. This indicates that every project schedule must include a planned start date and planned finish date, estimated resources assigned to each activity and estimated duration of each activity.

Project 98
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What is Estimation Projection & Validation in Agile?

Knowledge Hut

The scope keeps changing as the project makes progress on the agreed timeline, so, the estimation becomes a challenging task for the product owner. Agile software estimation is used for realistic planning to implementing the project requirements as per commitments. Master the art of project management and achieve new heights.

Project 98
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The Essential Guide to Building Analytic Applications

What should product managers keep in mind when adding an analytics project to their roadmap? 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.

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Beyond Web Mercator: Building basemaps in different projections

ArcGIS

Using ArcGIS Pro to build 'Human Geography' style vector basemaps in different projections, for use in ArcGIS Online

Project 104
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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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3 Challenges of Building Complex Dashboards with Open Source Components

Speaker: Ryan MacCarrigan, Founding Principal, LeanStudio

Watch this webinar with Ryan MacCarrigan, Founding Principal of LeanStudio, to learn about key considerations for launching your next analytics project. But what happens when you have a growing user base and additional feature requests?

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How to Find and Test Assumptions in Product Development

Watch this webinar with Laura Klein, product manager and author of Build Better Products, to learn how to spot the unconscious assumptions which you’re basing decisions on and guidelines for validating (or invalidating) your ideas. You'll learn: Why every product leader goes into a new project with untested, hidden assumptions.

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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.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Download the whitepaper to see the 7 most common approaches to building a high-performance data architecture for embedded analytics.

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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.