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What Is Full Stack Web Development? A Complete 2024 Guide

Edureka

This Blog will cover the following Topics: What Is Full Stack Web Development? User Experience (UX) Design: it involves Optimizing web page usability and accessibility to provide users with a seamless and enjoyable experience. What Does a Full Stack Developer Do?

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Dashboard Data Visualization: Benefits, Types and Examples

Knowledge Hut

Management does not have to wait for management to give them messages; everyone in the organization can easily access the dashboard and use its insights to make intelligent decisions. The cloud-based dashboard tools update in real-time and are accessible from any browser. How to Build a Data Visualization Dashboard ?

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Top 7 Python Image Processing Libraries To Excel in Data Science

ProjectPro

This blog will explore the need for image-processing and various python image processing libraries available to computer vision engineers for different use cases. The Python API for OpenCV is called OpenCV-Python. Over 2,500 modern and classic algorithms are accessible through the image processing library.

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Scaling Kafka Brokers in Cloudera Data Hub

Cloudera

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. link] MY-DATA-HUB-CLUSTER.COM ]/cdp-proxy-api/cruise-control/kafkacruisecontrol/state?json=true json=true .

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Tableau Operational Dashboards and Reporting on DynamoDB - Evaluating Redshift and Athena

Rockset

We’ll look at what it takes to build operational dashboards and reporting using standard data visualization tools, like Tableau , Grafana , Redash , and Apache Superset. Finally, you can set up a Lambda function that uses the DynamoDB Streams API to retrieve recent changes to the DynamoDB table.

BI 40
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Analytics on DynamoDB: Comparing Elasticsearch, Athena and Spark

Rockset

In this blog post I compare options for real-time analytics on DynamoDB - Elasticsearch , Athena, and Spark - in terms of ease of setup, maintenance, query capability, latency. There is limited support for SQL analytics with some of these options. I also evaluate which use cases each of them are best suited for.

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The Rise of the Data Engineer

Maxime Beauchemin

In relation to previously existing roles , the data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. It’s also fairly common for engineers to develop and manage their own job orchestrator/scheduler.