(Newswire.net — July 16, 2019) — Apache Spark is one of the most premier and popular frameworks for big data analysis. It can be defined as a general purpose lightning fast cluster computing system written in Scala, which is a high-level language of programming. If there is one language of big data, one should learn, it is Scala. It is being used by large companies like Pinterest, Facebook, Netflix and other applications. In fact, as per a recent survey by Databricks, almost 71% of Spark users choose Scala programming language thus making it among the hottest skill to have..
What is Apache Spark?
Apache Spark is a wide range, open source data processing engine that can-
- Aid in qualifying and streaming in Spark
- Perform batch processing, interactive queries and stream processing
- Integrate all the tools used for big data like Hadoop
What is Scala?
Scala is an object-oriented, functional yet scalable JVM based programming language. It rises above the problems and issues faced in other languages and integrates easily into the existing code. It offers a functional solution with its MapReduce framework and has abstract data types that are concise and user-friendly.
Why is Apache Spark written in Scala?
- Scala is statically typed and is faster by almost 10 times.
- It has an arcane syntax which is difficult to master yet highly effective.
- Scala supports heavyweight process and powerful concurrency
- Scala, being a compiled language, is more productive than Java
- With Scala, one has access to a high-end framework of libraries for linear algebra, scientific computing and random number generation.
Why you should take up the Apache Spark & Scala Course?
Scala programming language provides the ability to design, code and develop and utilize Apache Spark and other big data tools to their full potential. The course will shed light on important aspects and provide insights into big data.
Scalability
Apache Spark with Scala works wonderfully in accessing and implementing new features. Due to its scalability on JVM, it is highly used.
Balance
Scala creates a sync between performance and productivity. The syntax used is beginner-friendly and in terms of performance it score over traditional tools of data analysis like R. The time taken to develop applications with Scala is much lesser than with other programs.
Excellent Support
Due to the fact that it has high potential, it is being increasingly adopted in the field of data science. Also, Scala has the support of a vibrant community and of libraries like Akka that prove to be a strong backbone for developers.
Less complex
Scala is best suited for big data due to its ability to deal with large data sizes and complex programs. It is less complex than Java making it a great choice. Learning standard collections will ease the process and make it consistent with other libraries.
Frameworks and libraries
Another advantage of learning Scala and Apache is the access to a range of well-designed libraries for linear algebra, scientific computing and random number generation. Saddle, for instance, is a data library that provides a solid foundation for data manipulation through 2D data, array-backed support and data alignment.
Speed and efficiency
Scala is efficient and fast, making it ideal for intensive algorithms and programs. It can minimize code lines by up to 25% making it faster for computing and better when it comes to memory efficiency. Even advanced constructs happen quickly with Apache and Scala.
With the growing demand for Scala in the developer community, it is the right time to get an Apache Spark & Scala Certification. Scala is efficient, agile and helps companies adapt to the changing needs for big data processing. Having a certificate and learning the skills is an investment one should make to shine in the big data field. With increasing opportunities and lucrative options in the field, gaining hands-on experience in Apache and Scala will open new horizons for big data programmers and engineers.
With a good certification, you can harness the power of Apache Spark and Scala in a hassle-free manner. It is highly important to choose a course that is
- mentored by industry experts
- Created for beginners and learners of all levels
- Backed by case studies and practical training
- Accessible from even remote locations
The course wins with its focus on all the points mentioned above. It is flexible, comprehensive and led by industry experts who understand the pulse of the big data industry and work towards skilling you for the current trends. It supports multiple paradigms and can be extensively used for big data analysis. Enrol now and add valuable skills that will propel career growth.