Remove Analytics Application Remove BI Remove Datasets Remove Unstructured Data
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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

Since there are numerous ways to approach this task, it encourages originality in one's approach to data analysis. Moreover, this project concept should highlight the fact that there are many interesting datasets already available on services like GCP and AWS. Source: Use Stack Overflow Data for Analytic Purposes 4.

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Top 6 Big Data and Business Analytics Companies to Work For in 2023

ProjectPro

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. The products and services of Cloudera are changing the economics of big data analysis , BI, data processing and warehousing through Hadooponomics.

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Apache Ozone – A Multi-Protocol Aware Storage System

Cloudera

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? Most traditional analytics applications like Hive, Spark, Impala, YARN etc. Since Ozone supports the S3 API, it can also be accessed using the s3a connector.

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Cross-Functional Trade Surveillance

Cloudera

This example combines three types of unrelated data: Legal entity data: Two companies with completely unrelated business lines (coffee and waste management) merged together; Unstructured data: Fraudulent promotion campaigns took place through press releases and a fake stock-picking robot.

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Calculating the variations between date-column values, etc.

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Business Intelligence (BI) Tools List

U-Next

BI tools are different types of application software that collect and process huge amounts of unstructured data from internal and external sources. The enormous amounts of data being created provide a problem for firms of all kinds, making it tougher year after year to ensure that all business operations are under check.