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Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data
SCR 449
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Big Data Analytics with Hadoop 3 provides practical examples to learn Hadoop 3 for building high-performance analytics solutions seamlessly on-premise and on cloud
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Product Details
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
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Data Scientists
Ideal for data scientists looking to leverage Hadoop for extensive big data analysis and insights.
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Business Analysts
Business analysts will benefit from gaining deeper insights into data patterns and trends using Hadoop 3.
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IT Professionals
IT professionals seeking to enhance their skill set in big data technologies and Hadoop ecosystem applications.
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Beginner Users
Beginner users may find the advanced concepts and tools overwhelming without prior knowledge of big data.
Product Description
Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data
Customer Questions & Answers
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Question:
What is required to read this book?
Answer: A basic understanding of the Java programming language. -
Question:
What are the tools that can be integrated with Hadoop?
Answer: R, Python, Apache Spark, and Apache Flink can be integrated with Hadoop. -
Question:
Is this book only for beginners in data analytics?
Answer: No, it is also useful for those who want to build high-performance analytics solutions for their enterprise or business using Hadoop 3's powerful features.
Data Modeling & Design Editorial Review
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SCR 449
Order now and get it around Saturday, July 25
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Features & Benefits
- Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud
- Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache Flink
- Exploit big data using Hadoop 3 with real-world examples
- Become well-versed with the analytical capabilities of the Hadoop ecosystem
- Perform big data analytics on AWS using Elastic Map Reduce
- Ideal for those looking to build high-performance analytics solutions for their enterprise or business using Hadoop 3's powerful features
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