- “As demand increases, there will be a great need for qualified Big Data specialists,” says Daniel Restrepo, Senior Big Data Engineer at SoftServe, who shares a list of recommendations with the fundamental principles and most advanced techniques of this methodology.
Santiago, May 2024 – The digital space is expanding at an unprecedented pace, ranging from everyday uses to the massive generation of information that will drive the use of large language models (LLM) and artificial intelligence (AI). However, according to a Seagate study, despite the high volume of data created, only a fifth of it is analyzed.
This gap is beginning to close thanks to the continued development and launch of new services in the industry, which is opening up vast job opportunities in the technology sector. The Big Data market has seen 5.3-fold growth over the past seven years and is expected to reach a value of €829 billion by 2025, according to the European Commission.
“As demand increases, there will be a great need for qualified Big Data specialists,” says Daniel Restrepo, Senior Big Data Engineer at SoftServe, who shares a list of five books that will guide beginners and intermediates through the fundamentals and the most advanced Big Data techniques:
- Data Engineering Fundamentals: Plan and Build Robust Data Systems
“Fundamentals of Data Engineering: Plan and Build Robust Data Systems” by Joe Reis and Matt Housley guides readers from the basics to advanced concepts in data engineering. It covers the planning, design, and construction of robust data systems, highlighting both fundamental principles and emerging trends in the cloud, especially with Azure Data.
- Progressing step by step – Data engineering with Python
Data Engineering with Python is a practical guide to designing, orchestrating, and managing data pipelines using Python. It covers essential ETL techniques and offers clear examples on customization and flexibility in data pipelines, providing tools and libraries that streamline data flow and empower the reader with advanced technical skills.
- You have doubts? Open your perspective with The Datapreneurs
“The Datapreneurs” by Bob Muglia explores the evolution of artificial intelligence and its future impact, highlighting the interaction between human ingenuity and digital data. Through conversations with experts, the book offers deep insight into the benefits, risks and ethical issues associated with data-driven technologies, underscoring their transformative power.
- Here’s the good stuff – “Learn Spark” (2nd edition)
“Learning Spark” breaks down the concepts and applications of Apache Spark, covering RDD, DataFrame, Dataset, Spark SQL, and MLlib. The authors explain how to deploy Spark applications and ensure efficient use of data. Daniel recommends complementing this book with O’Reilly’s Spark Cookbook for advanced techniques and practices.
- Exploring Pandora’s Box – Data Intensive Application Design
«Designing Data-Intensive Applications» addresses the construction of large-scale data systems, focused on reliability, scalability and maintainability. Using real-world examples and case studies, the book links theory and practice, providing deep technical understanding and strategies for creating robust, scalable data systems.
About SoftServe
SoftServe is the largest information technology (IT) company with Ukrainian roots, specializing in software development and consulting services. It has more than 11,000 employees distributed in more than 50 offices, ranging from San Francisco to Singapore. The main headquarters are located in Lviv and Austin (United States).
The company is working on more than 900 active projects for clients in North America, the European Union and Asia. Clients include IBM, Cisco, Panasonic, Cloudera, Henry Schein, Spillman Technologies and others. SoftServe is also a partner of Google Cloud Platform, Amazon Web Services, Microsoft Azure, NVIDIA and other large technology companies.
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