It is crazy to know how the amount of data being generated every day, is escalating as we speak. The increasing penetration of digital devices like smartphones, IoT, and other smart devices into our daily lives is to thank for this. According to a Quantium report, by 2020, about 1.7 megabytes of new data will be generated per second for each individual on the planet. This ever-growing, complex pile of data is termed as Big Data. Today, the quantity of data generated is so vast that it is beyond the traditional means of data processing and analyzing – it can only be processed, analyzed, and interpreted using Big Data technologies and tools.
Why is Big Data Gaining Importance?
Data has already transformed into being the new currency of the modern world, and companies and organizations across all domains of the industry are using Big Data to their advantage. By diving deep into Big Data, businesses can uncover such valuable insights that could turn the game in their favor. The reasons why Big Data is gaining traction in the modern world are many:
Marketing analytics –
It offers insights into the present market situation and allows businesses/marketers to tweak their marketing strategies according to the preferences and demands of their target audience.
Comparative analysis –
It is a branch of Big Data that allows businesses/marketers to compare their products/services and their market reputation with their competitors by cross-examining user behavior metrics and real-time monitoring of consumer interaction with the brand.
Enhances customer satisfaction –
Since Big Data tools analyze and interpret customer data collected from multiple sources, businesses can get a better idea of what their target audience wants. This allows them to create products/services accordingly while also improving their customer service efforts.
Saves time and money –
Big Data tools like Apache, Spark, Hadoop, etc. can dig deep into the data to identify new and cost-saving techniques for businesses. Also, these technologies make the entire process much more efficient and fast, thereby saving time.
What are Apache Spark and Apache Scala?
Apache Spark is an open-source cluster computing and data processing technology that delivers super-fast computation. It was developed at UC Berkeley and is based on Hadoop MapReduce architecture. The feature that makes it super-fast is its in-memory cluster computing that boosts the processing speed of applications.
Apache Spark is excellent for handling a host of workloads including ML algorithms, batch applications, iterative algorithms, interactive queries, and streaming since it allows programs to load data into the memory of a cluster and query the data continuously.
Spark is designed in a way that integrated with other Big data tools like Hadoop – Spark can access any Hadoop data source and can run smoothly on Hadoop clusters.
Apache Scala is a high-level programming language combining the features of both object-oriented programming and functional programming. It derives its name from the fact that it is highly scalable.
Scala statically typed and equipped with an expressive type system. It can express general programming patterns in a neat, precise, and type-safe way. Since Scala is extensible, it offers an incredible combination of language mechanisms. This, further, makes it easier to incorporate new language constructs as libraries to the language.
Scala supports an array of useful features such as classes, views, annotations, polymorphic methods, explicitly typed self-references, and upper and lower type bounds, to name a few.
Clearing the Spark and Scala Exam: Things you need to know
Usually, Spark certification exams are divided into two primary categories – Core Spark and Spark SQL both of which are covered in the Spark and Scala Exam Questions.
As it goes for every exam, you must first gain an in-depth understanding of the Spark architecture. It is preferred that candidates possess programming expertise in multiple languages, including Spark, Scala, Python, and Java. Along with the basics of Spark, you must also well-versed with Apache Hadoop ecosystems like HDFS, YARN, Apache Hive, and HiveQueryLanguage(HQL). Apart from this, it is pivotal to have a good understanding of SQL for JDBC compliant databases. Once you feel like you have gained a good idea about Spark, you could try your hand at building Spark projects.
Also, it is highly beneficial to follow the latest articles/blogs on Apache Spark technology and Spark interview questions. Reading up on these will not only expand your knowledge on Spark but also get you prepared for the certification exam.
As mentioned before, you must well-versed with the nitty-gritty of Scala to successfully clear the Scala certification exam. First, you begin with the basics of the language, such as sequences, recursion, and nesting functions. Then you gain a deeper understanding of its object-oriented (objects, classes, variables, etc.) and functional (mutations, high order functions, dependency injection, pattern matching, etc.) aspects. While generally no strict prerequisites for Scala certification exams, expected that candidates have strong knowledge about different databases, SQL, and other query languages.
Once you are confident that you have mastered the theory and concepts of Scala, it’s time to put your knowledge to the test by solving mock tests and basic-level programming projects with Scala. For instance, you could take up an open-source project in Java and try to convert it to a Scala-based model.
Last but not least, always stay updated with the latest advances in Scala by reading up articles/blogs/books on the same and also by following Scala interview questions.
So, that’s all you need to know about Apache Spark and Apache Scala and how to get ready for its certification exams. Taking up certification course exams is excellent not only for your resume but also to deepen your subject knowledge. With the right approach and preparation, it becomes easier to crack these exams. While reading books/blogs and brushing up on interview questions is great for garnering subject knowledge, you must put that knowledge to practice by taking mock tests and interviews. Mocks tests are an excellent way to break the ice before you appear for the actual certification exam.