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Need Apache Spark, Scala, Apache Hadoop & Apache Kafka
Big Data Real Time Production Deployed Projects
& Industrial Training +
Lifetime Technical Support +
Lifetime Industrial Cluster Access
Need Industry Level Real Time END-TO-END Big Data Projects?
During the Big Data Interview: You will face scenario-based questions, interviewer will check your real time experience by asking real life problematic questions either from client side or production side. Visit for the Details- www.dataoverflow.co
Reality: As a professional Big Data Developer, I can understand that YouTube videos and the tutorials websites and poc-s can provide a basic fundamental concept and exactly not more than that. Now-a-days the competitions are very high, most of the IT people wants to join or shift to Big Data Technologies field(most desirable job in the world). So, the Depth knowledge and Real Time Projects are mandatory for the Apache Spark interviews to get the job.
Challenges to get a job: During the Big Data Interview: You will face scenario-based questions, interviewer will check your real time experience by asking real life problematic questions either from client side or production side. They are not interested to discuss about definition based theories.
SOME BIG DATA REAL TIME PRODUCTION LEVEL QUESTIONS GIVEN BELOW WHICH ARE NOT AVAILABLE IN INTERNET & NOBODY CAN MANAGE BY REMEMBERING THESE ANSWERS ANYWAY BECAUSE THEY WILL BE CAUGHT BY THE INTERVIEWER INSIDE THE INTERVIEW ROOM.
1) what is the file size you’ve used? Reason Behind your answer.
2) How long does it take to run your script in production cluster? How did you optimized the timings. Challenges you have faced.
3) what was the file size for production environment?
4) Are you planning for anything to improve the performance?
5) what size of file do you use for Development?
6) what did you do to increase the performance(Hive,pig)?
7) what is your cluster size? Reason Behind your answer.
8) what are the challenges you have faced in your project? Give 2 examples?
9) How to debug production issue?(logs, script counters, JVM)
10) how do you select the eco system tools for your project?
11) How many nodes you are using currently?
12) what is the job scheduler you use in production cluster?
We have 6 real time projects of Spark already implemented in production cluster using Apache Spark, Apache Kafka using Scala and ELK Stack for different teams in an each & same project and one or two of these projects anyone can choose to show in your CV for the interview of Spark/Big Data. Also, which will be equivalent to an experience candidate.
5 real time Projects are well hands-on described with practical lectures in the separate videos and PDF documentations, presentations ppt, codes soft copy, billions of records of huge production level client’s raw data etc. For each and every separate video you will feel the real time industry level experience because everything has been described end to end and step by step on the multi-node cluster in the Big Data industry.
1 project on Spark based IoT project of a Fiber Optic domain company where the data used to come from various hardware remote sensor device source then it passes through the different layers of ingestion after that you have to do the validation of the data temperature, humidity etc. information are normal or below normal so here we have created the Apache Spark pipeline where SparkSQL, Spark Streaming is involved along with we have used Confluent, Graphana, InfluxDB, PostgreSQL, HTTPS, UDP, MQTT, TCP/IP in the cloud based platform.
Credentials(IP address, Usernames, Passwords etc.) are also given with this package to process and for your practice purpose. The architectural workflow very beautifully designed for all real time projects.
Industrial Training Before Projects Implementation: The following technologies we have used in the 6 projects: Spark Core, SparkSQL, Spark Streaming, Apache Kafka, Elasticsearch, Logstash, Kibana Dashboard modules and topic wise hands on lectures videos are given with pdf documentations. All technologies pre-installed CDH(For Lower & Higher Configuration) also included.
Famous Prestigious Clients’s Healthcare domain project & E-Commerce domain Finance project respectively using Spark(SQL + Streaming)-Kafka-Elastic Search(Data visualization purpose), NiFi, Hive-HBase-Spark Connector, Spark-Kafka Integrations are also included in this package. These are very high-level advanced real time projects where the org has used Akka which is a framework of Scala.
If anybody is really interested to be a Master of Hadoop & Apache Spark, and really wants to start from beginners’ level to Advanced level, then you can message me at WhatsApp +91-8927788800 or Call +917001102273 to get this complete package with life time job support and lifetime cluster access.
Meanwhile, also if you are looking for a shift/change in your current domain to Big Data then this package will help you like a magic.
35 Zettabytes of data generated annually by the year 2020
The Extreme Power & The Super Influence
Facebook stores, accesses, and analyzes 30+ Petabytes of user generated data
The largest ‘big data’ company in the world is Google that processes 3.5 billion requests per day.
Amazon host their estimate 1,000,000,000 GB (Gigabytes) of data across more than 1,400,000 servers.
Every second about 1.7 megabytes of new information will be generated for every human being around the globe.
We are keen-sighted an enormous growth in the photo and video data, where every minute up to 300 hours of videos are uploaded to YouTube alone.
IBM Predicts Demand For Data Scientists Will Soar 28% By 2020
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Big data is not another big idea for tomorrow. At this very instant, it is fundamentally shifting how companies manage operations, serve clients and define their business models. Amid the propagation of real-time data from sources including, social media, mobile devices, sensors, the web, transactional applications and log files, big data has found a host of vertical market applications from scientific R&D to fraud detection to workforce analytics.
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“Processed data is information. Processed information is knowledge Processed knowledge is Wisdom.” (Ankala V. Subbarao)
“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” (Geoffrey Moore, author and consultant)
“Big Data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.” – Dan Ariely, Duke University
"If you are learning Big Data then always keep in mind that there has a lots of hell and heaven differences in between Education Level Experience(YouTube Videos, Tutorial Websites etc.) and Production Level Experience." - Me
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