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AI-Driven API and Microservice Architecture Design for Cloud

Dzone - DevOps

Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Predictive analytics : AI can leverage historical data to predict usage trends, identify potential bottlenecks, and offer proactive solutions for enhancing the scalability and reliability of APIs and microservices.

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Big Data Realtime Data Pipeline Architecture

Dzone - DevOps

Companies across various industries rely on big data analytics to gain valuable insights and make informed business decisions. To efficiently process and analyze this vast amount of data, organizations need a robust and scalable architecture.

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A Case Study on Building Modern Analytics Architectures That Scale

Datavail

As data volumes continue to grow, the systems and architectures need to evolve. This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. Bringing Modern Analytics Solutions to the Table.

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A New Era of Data Analytics: Exploring the Innovative World of Data Lakehouse Architectures

Dzone - DevOps

This innovative approach offers flexibility, scalability , and advanced analytics capabilities that are essential for businesses to remain competitive in today's data-driven landscape. Data Lakehouses combines the strengths of both approaches, providing a unified platform for storing, processing and analyzing diverse data types.

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Best Practices for Deploying & Scaling Embedded Analytics

Embedding analytics in your application doesn’t have to be a one-step undertaking. Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your: Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture.

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As insurers look to be more agile, data mesh strategies take centerstage

CIO

Ever-shifting domain-level business logic and architectures add to the workload of overwhelmed central data teams, which results in difficult, misaligned metric reporting and declining data reliability. Enter data mesh. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

Insurance 246
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Rockset announces $40M Series B as data analytics solution gains momentum

TechCrunch

Rockset , a cloud-native analytics company, announced a $40 million Series B investment today led by Sequoia with help from Greylock, the same two firms that financed its Series A. “We’re building out our service with innovative architecture and unique capabilities that allows full-featured fast SQL directly on raw data.

Analytics 216