![]() Shark tool helps data users run Hive on Spark - offering compatibility with Hive metastore, queries and data.ģ) List some use cases where Spark outperforms Hadoop in processing. ![]() Shark is a tool, developed for people who are from a database background - to access Scala MLib capabilities through Hive like SQL interface. Most of the data users know only SQL and are not good at programming. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization In collaboration with and big data industry experts -we have curated a list of top 50 Apache Spark Interview Questions and Answers that will help students/professionals nail a big data developer interview and bridge the talent supply for Spark Developers across various industry segments. To support the momentum for faster big data processing, there is increasing demand for Apache Spark developers who can validate their expertise in implementing best practices for Spark - to build complex big data solutions. Hadoop MapReduce well supported the need to process big data fast but there was always a need among developers to learn more flexible tools to keep up with the superior market of midsize big data sets, for real time data processing within seconds. With the increasing demand from the industry, to process big data at a faster pace -Apache Spark is gaining huge momentum when it comes to enterprise adoption. ![]() In addition, displaying project experience in the following is key. The questions asked at a big data developer or Apache spark developer job interview may fall into one of the following categories based on Spark Ecosystem Components.
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