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The Future of Business Intelligence is Open Source

Maxime Beauchemin

For those reasons, it is not surprising that it has taken over most of the modern data stack: infrastructure, databases, orchestration, data processing, AI/ML and beyond. That’s without mentioning the fact that for a cloud-native company, Tableau’s Windows-centric approach at the time didn’t work well for the team.

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Every Company is Becoming a Software Company

Confluent

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Here, the bank loan business division has essentially become software.

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Kubernetes Pods: How to Create with Examples

Knowledge Hut

Kubernetes is a container-centric management software that allows the creation and deployment of containerized applications with ease. Originally created by Google Cloud in 2014, Kubernetes is now being offered by leading Cloud Providers like AWS and Azure. Here is a sample YAML file used to create a pod with the postgres database.

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Rebuilding Netflix Video Processing Pipeline with Microservices

Netflix Tech

From Reloaded to Cosmos Reloaded Starting in 2014, we developed and operated the video processing pipeline on our third-generation platform Reloaded. To achieve this, Cosmos was developed as a computing platform for workflow-driven, media-centric microservices. The results are saved to a database so they can be reused.

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NoSQL vs SQL- 4 Reasons Why NoSQL is better for Big Data applications

ProjectPro

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. There is a need for a database technology that can render 24/7 support to store, process and analyze this data. Table of Contents Can the conventional SQL scale up to these requirements?

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How JPMorgan uses Hadoop to leverage Big Data Analytics?

ProjectPro

billion user accounts and 30,000 databases, JPMorgan Chase is definitely a name to reckon with in the financial sector. JPMorgan uses Hadoop to process massive amounts of data that includes information like emails, social mediaposts, phone calls and any other unstructured information that cannot be mined using conventional databases.

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Getting ready for AI in government: a guide for data-literate leaders by Jessica McEvoy

Scott Logic

Since 2014, Singapore has had a similar concept called ‘ Ask Jamie ’ which they have implemented across 70 government agency websites. Be wary of AI-centric project proposals and remember that most AI projects aren’t predicted to deliver what is expected. By 2021, Emma’s success rate was 93% in English and 90% in Spanish.