Python Spark Certification Training using PySpark

Python Spark Certification Training using PySpark is uniquely curated to render the most sought after and valuable skills and knowledge to don the hat of a successful Big Data and Spark Developer. This Training would unequivocally assist the learner easily and nail the otherwise arduous CCA Spark and Hadoop Developer (CCA175) Examination. The learner would understand the very basics of Hadoop and Big Data. The learner would learn how Spark facilitates in-memory data processing and also runs much faster than Hadoop MapReduce. The learner would also be taught about Spark SQL and RDDs for complex structured processing, along with different APIs furnished by Spark such as Spark MLlib and Spark Streaming. This Python Spark Certification Training using PySpark course online is undoubtedly an integral part of the Big Data Developer’s arduous career path. The Python Spark Certification Training using PySpark course online shall also encompass the very basic albeit pertinent concepts such as data capturing with the aid of messaging system like Kafka, Flume and data loading using Sqoop. 

Spark Certification Training has been curated by highly learned, experienced industrial doyens and experts with an envision to make all our learners succeed and Certified Spark Developers. Our PySpark Certification Course offers the following:
 
• Comprehensive knowledge of several eclectic tools that fall in Spark Ecosystem like Spark MlLib, Sqoop, Kafka, Spark SQL, Spark Streaming, and Flume
• Overview of Hadoop and BigData including HDFS (Hadoop Distributed File System) and also YARN (Yet Another Resource Negotiator)
•The ability of ingesting data in HDFS by way of Flume and Sqoop, and also analysing those large datasets which are stored in the HDFS
• The exposure to several real-life industry-based projects that the learner shall execute through our Cert Ocean’s CloudLab.
• The power of dealing with real-time data feeds via a published and subscribed messaging system like Kafka
• Vigorous involvement of an SME by way of the Spark Training to learn the best industry standards and other practices.
• Projects that are diverse in nature covering telecommunication, banking, social media and other governmental fields. 

Spark is one of the most rampantly growing and commonly used tools in the eclectic domain of Big Data and Analytics. This has been ergo adopted by innumerable companies falling into several different categories around the globe and this therefore offers prosperous career opportunities. Also, in order to participate in these different kinds of opportunities, the learner needs a structured training that must work in close conjunction with the Cloudera Hadoop and Spark Developer Certification (CCA175) accompanied with the best practices and current industrial requirements.

Besides having a strong theoretical understanding, it is also very much essential to possess practical, hands-on experience. Therefore, during the Cert Ocean’s PySpark course online, the learner shall be made to work on several used cases that are industry-based, along with projects inculcating big data and spark tools as a part of the unique solution strategy.
Additionally, each and every doubt of the learner shall be addressed by the professionals from different industries, who are currently working on real-life big data and several other data analytics projects.

CerOcean’s PySpark Training has been meticulously designed by experienced industry experts and this greatly aids our learners become a successful Spark developer. Furthermore, during this Python Spark Certification Training using PySpark course, our learners are individually trained by Industry practitioners who hold several years of expert experience in the said field. Also, during the Scala and Apache Spark course, our expert instructors shall thoroughly train our learners, perfecting them to a tee in the following - 
• Master the concepts of HDFS
• Learn Spark Streaming
• Understand Hadoop 2.x Architecture
• Understand Spark and its Ecosystem
• Learn data loading techniques using Sqoop
• Implement Spark operations on Spark Shell
• Understand the role of Spark RDD
• Implement Spark applications on YARN (Hadoop)
• Work with RDD in Spark
• Understanding Spark SQL and its labyrinth architecture
• Implement machine learning algorithms such as clustering using Spark MLlib API
• Understand messaging system like Kafka and the components of Kafka
• Utilize Spark Streaming for stream processing of live data
• Integrate real time streaming systems like Flume with Kafka
• Use Kafka to produce and also consume messages from different sources including real time streaming sources such as Twitter
• Solving various real-life industry-based useful cases that would be executed through CertOcean’s CloudLab 

Market for Big Data Analytics has mushroomed tremendously all across the world. This extremely strong growth pattern accompanied with constantly augmenting market demand provides a great platform to all the IT Professionals. Below-mentioned are a few Professional IT groups, who are persistently enjoying the immeasurable fruits and perks of venturing into the Big Data domain.
 
• BI /ETL/DW Professionals
• Developers and Architects
• Data Scientists and Analytics Professionals
• Senior IT Professionals
• Freshers
• Big Data Architects, Developers and Engineers
• Mainframe Professionals 

The stats limned below shall render a lucid glimpse of the magnifying popularity along with the growing adoption rate of Big Data tools such as Spark in the current and also in the upcoming years:

• Forbes has estimated that around 56% of Enterprises shall magnify their prior investments in Big Data in the next three years.
• McKinsey had predicted that by 2018 there would be a shortage of around 1.5M data experts, which proved to be true.
• The Spark Developer's average salary is around $113k.
•According to a McKinsey report, the US alone had to deal with a shortage of roughly approximately 190,000 data scientists and also 1.5 million data analysts along with Big Data managers in the year 2018.
It is widely known that nowadays, several big organizations are showing great interest in Big Data and are getting accustomed with Spark as a part of their unique solution strategy. Also, the demand of jobs in Big Data and Spark has been rising tremendously with each passing day. Therefore, it is high time for a learner to pursue their career in the limitless Big Data & Analytics domain with Cert Ocean's uniquely structured PySpark Course Online.

There are no such mandatory prerequisites for CertOcean’s Python Spark Certification Training using PySpark Course online. However, some prior knowledge of SQL and Python Programming shall be greatly helpful, albeit it is not at all necessary.

• Python Spark Training Projects

The learner shall execute all Python Spark Certification Training using PySpark Course Case Studies and other Assignments via CertOcean's Cloud LAB environment. The learner would be accessing the Cloud LAB through a browser. Should you have any further query or doubt, our Support Team at Cert Ocean would be available 24/7 for on the go, prompt help, and assistance.

CloudLab is a unique cloud-based Hadoop and Spark environment that CertOcean renders to its learners enrolled for the Python Spark Certification Training using PySpark wherein the learner would execute and access all the in-class demos, thereby working on several real-life spark case studies. This would hence not only save the learner from any unsolicited trouble of installing and maintaining Python and Spark via a virtual machine, but it would also offer a huge learning experience of an enormously big data and a spark production cluster. The learner would be able to access the Spark Training CloudLab through the browser, requiring an extremely minimal hardware configuration. However, in case the learner gets stuck at any step, our support team shall be there for 24/7 assistance.

Fret not about the various system requirements as the learner shall be executing all his practicals in CertOcean's Cloud LAB that is a one of its kind, pre-configured environment. This virtual environment already consists of all the required services and tools for PySpark Training at CertOcean's.

Towards the culmination of the PySpark Training, the learner would be assigned with real life case scenarios as certification projects to further hone and polish the learners’ skills and prepare him for the several Spark Developer Roles. Mentioned below are few industry-specific case studies that are included in CertOcean's Apache Spark Developer Training Certification.

Project 1- Field: Financial
Statement: A leading financial bank endeavours to widen its financial inclusion for the unbanked population by furnishing a safe and positive borrowing experience. In order to make sure this underserved population witnesses a smooth and a positive loan experience, the bank makes sure to use of a diverse variety of alternative data that comprises of telco and all other transactional information in order to fathom the repayment abilities of its clients. The bank asks the learner to develop a solution to ensure that clients possessing the ability of repayment must not be rejected and that loans have been given with a maturity, principal and repayment calendar that would empower the clients and make them successful.
Project 2- Field: Transportation Industry
Business requirement/ challenge - With the rise in pollution levels and the fuel prices, several Bicycle Sharing Programs have cropped up all around the globe. Bicycle sharing systems are a unique way of renting bicycles wherein the process of getting a membership, renting and thereafter returning a bike is completely automated through a network of joint locations intricately linked throughout the city. By assiduously deploying this unique system, individuals can rent a bike from one location and thereafter return it at some different place as and when required.
Considerations: The learner shall construct a demand forecasting of bicycle sharing service that clubs historical usage patterns along with weather data to predict and forecast the Bicycle rental demand in real-time. In order to develop this system, the learner must primarily explore the dataset and also construct a model. Once done, the learner needs to persist the model and then run a Spark job on each separate request to load the model and make predictions on all of the Spark Streaming requests.