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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

Acquire first-hand experience in learning Python packages for data processing and analysis. Big Data: Principles and best practices of scalable real-time data systems Big Data: Principles and Best Practices of Scalable Realtime Data Systems is an excellent resource for anyone who wants to learn the fundamentals of working with big data.

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Top 15 Cloud Computing Projects Ideas for Beginners in 2023

ProjectPro

According to an Indeed Jobs report, the share of cloud computing jobs has increased by 42% per million from 2018 to 2021. From cloud computing consultants to big data architects, companies across the world are looking to hire big data and cloud experts at an unparalleled rate. billion during 2021-2025.

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Scala Vs Python Vs R Vs Java - Which language is better for Spark & Why?

Knowledge Hut

One of the most important decisions for Big data learners or beginners is choosing the best programming language for big data manipulation and analysis. Java does not support Read-Evaluate-Print-Loop (REPL), which is a major deal-breaker when choosing a programming language for big data processing.

Scala 52
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The Evolution of Table Formats

Monte Carlo

Apache Hive : Initially developed at Facebook and released in 2010, Hive was designed to bring SQL capabilities to Apache Hadoop and allows SQL developers to perform queries on large data systems.

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How to Leverage Business Analytics for Sound Marketing Strategies

U-Next

Understanding how to interpret and convey data is a crucial ability for business professionals that may help them make wise decisions. . . Big Data analytics is carried out with the use of sophisticated software. Businesses can do this to shorten the analytics process and make decisions more quickly.

Retail 40
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Making smart cities safer with data

Cloudera

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.