Apache Spark is one of the most used Big Data analysis platforms. It is being adopted by a plenty of companies. The company is doing pretty well when it comes to upgrading the solution on a regular basis to make it a fit for the present generation. Apache Spark’s latest version is one of the most used platform when it comes to analyzing the unstructured data. The platform is considered one of the quickest and most efficient tools, and it is capable of managing high volume of data. Additionally, the solution syncs smoothly with the enterprise Java ecosystems. Also, it is considered as a perfect solution for various industries like telecommunication, banking etc. And, now, Spark even contains Machine Learning capabilities, which makes it a lot more useful and scalable. The ability to handle high scale reporting, the capability to manage unstructured data and a plenty of more features make Apache Spark a much loved platform.
Apache Spark career prospects
Apache Spark is one of the most popular solution used in Big Data industry. It is considered as one of the most advanced and efficient tool. Therefore, the adoption of Apache Spark is always on a high. As per some of the reports, it is believed that the market of Apache Spark is expected to grow at CAGR 67% from 2019 to 2022. Therefore, it is a fantastic idea to learn Apache Spark in order to build or grow your career in the Big Data field. Hence, you will definitely get a plenty of good career options if you master Apache Spark.
In this article, we will talk about the major skills to master, in order to become an Apache Spark expert.
- Learn to integrate Spark with Hadoop
Apache Spark can be integrated with Hadoop. Thus, it is important for the Big Data experts to learn how to integrate it. If you know how to operate both Hadoop and Spark then collaborating both of them would come handy. Apache Spark is conceptualized in a way that it makes it perfect to run on the Hadoop Distributed File System. Thus Hadoop is functioned to coordinate with MapR, therefore, it is extremely important to learn how to integrate both to make use of them. Spark is capable of running on HDFS, within the MapReduce. As an expert, you would have to understand how to deploy on YARN. Also, Spark is capable of running on the same cluster along with MapReduce jobs. Hence, learning the art of integrating Spark with Hadoop will definitely be very useful in 2019.
- Understanding of security
Apache Spark has been widely used by a variety of companies to develop sophisticated data and analytical models with the help of high volumes of data. Apache Spark is used as part of clusters that were utilized by Big Data experts for prototyping. Hence, needless to say, the need and demand of security is high. Apache Spark is already being used by many scientists to gain significant business insights from the tons of data. Hence, it is extremely important to protect the data which is being transferred and stored. Thus, if you really want to build a career in Big Data, you would need to understand the need of security. And, you would be required to learn and implement topnotch security practices for Spark implementations.
- Mastering Apache Spark Streaming is a must
Apache Spark streaming is a useful supplementary component to core Apache Spark API. This add-on enables scalable, fault-tolerant stream analysis of the data streams which are actually live. As, Apache Spark makes use of the micro-batching feature for real-time streaming. Thus, it is absolutely important to master the knack of Spark streaming.
Apache Spark is one of the most widely adopted solution. As per IBM‘s Data Science Elite Team, Apache Spark will be one of the most significant tools in 2019. And, its adoptions is going to be on a rise. Thus, it is definitely very important to know the latest trends to master the Apache Spark skills! As, Apache Spark is something that keeps evolving with the passage of time. Thus, one has to be well-versed with the latest happenings, to make sure that are always on top of their Apache Spark Solutions game!
