big-databig-data-analyticsbig-data-processingbig-data-architecture UpdatedApr 7, 2024 Jupyter Notebook Big data projects implemented by Maniram yadav sparkhivehadooppighdfsmapreduceflumepig-latinsqoophadoop-mapreducebig-data-analyticshadoop-hdfsbig-data-projects ...
Big Data security and privacy, Big Data Sampling and Statistical Theory, etc. Big Data Analytics: Machine Learning and Data Mining High dimensional data modeling, Data visualization, Large-scale machine learning, etc. Big Data Analytics for Data Science and Engineering Big Data in multi-disciplines ...
Big Data Analytics: This repository contains some analytics projects using Big Data eco-systems (Hadoop, Spark, Storm, Hbase and Zookeeper)listed below: Hadoop Analytics Some real world use cases using hadoop map reduce design pattern (TopK, Secondary Sorting, Filtering, Summarization, Join, Friend...
The utility of big data analytics (BDA) for data-driven decision-making is growing. However, its role in project decision-making remains under-researched though data is used in every phase of projects. Addressing the gap, data collected through twenty-five interviews was analysed using NVivo. ...
Big Data Project Ideas Projects For Beginners 1. Traffic control using Big Data Big Data initiatives that simulate and predict traffic in real-time have a wide range of applications and advantages. The field of real-time traffic simulation has been modeled successfully. However, anticipating route ...
Data analytics projects demonstrate your ability to extract actionable insights from raw datasets using advanced techniques like machine learning, predictive modeling, and real-time data processing. Businesses today rely heavily on data-driven decision-making, and having the 07 Feb 2025 | 39 min read...
They choose the relevant algorithm to the predictive model and run the test to see how the data performs. It’s a beautiful layout because you can develop different dashboards for different projects allowing management to see everything separately and make their decisions. SAS Visual Analytics ...
In today's data-driven landscape, leveraging big data analytics is crucial for businesses aiming to thrive. This article showcases the top 10 big data analytics companies, each offering unique insights and solutions for harnessing the power of data. ...
Models for structuring big-data and data-analytics projects typically start with a definition of the project’s goals and the business value they are expected to create. The literature identifies proper project definition as crucial for a project’s success, and also recognizes that the translation...
Getting the feedback and expertise of your sales, marketing, and product teams is a huge help, because their knowledge can guide the direction of your big data analytics projects. With large datasets, there’s a potentially infinite set of questions you can ask—but only a small set of thes...