Knowledge Hut

JUNE 30, 2023

With helpful illustrations and thorough explanations, it assists readers in comprehending how to use Spark for big data processing and analytics applications. Ingestion of data, processing of data, machine learning, and graph processing are a few topics covered in the book.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

JULY 15, 2021

According to an Indeed Jobs report, the share of cloud computing jobs has increased by 42% per million from 2018 to 2021. Popular ride-hailing services, such as Uber and Ola, have used such cloud-based analytics applications for data-driven decision-making. The global cloud computing market is poised to grow $287.03

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Monte Carlo

MAY 14, 2024

It enhances performance specifically for large-scale data processing tasks, offering advanced optimizations for superior data compression and fast data scans, essential in data warehousing and analytics applications.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Knowledge Hut

MAY 3, 2024

Python was declared as one of the fastest-growing programming languages in 2018 as per the recently held Stack Overflow Developer survey. With RStudio, it makes a killer statistic, plotting, and data analytics application. It is a simple, open-source, general-purpose language and is very easy to learn.

Scala 52

Scala Java Python Programming Language 52

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Project

U-Next

SEPTEMBER 9, 2022

Microsoft: Enhanced teamwork and productivity with the business behemoth MS moving the offices of its engineering departments in 2015, one of the top Business Analytics application instances was observed. Let’s explore some real-world examples to understand different strategies of marketing. . .

Retail 40

Retail Big Data Data Analytics Utilities 40

Cloudera

NOVEMBER 9, 2018

One such malware is Okiru, a Mirai variant which was reported in January 2018 to be targeting ARC-based processors that are embedded in billions of connected devices. Since data fuels the growth of smart cities, it is crucial for governments to invest in data management and data security platforms, advanced analytics, and machine learning.

Machine Learning 56

Machine Learning Banking Government Media 56