Big Data Processing with PySpark Training in Bangalore - ZekeLabs Best Big Data Processing with PySpark Training Institute in Bangalore India
Big Data Processing with PySpark-training-in-bangalore-by-zekelabs

Big Data Processing with PySpark Training

Big Data Processing with PySpark Course: PySpark is an API developed in python for spark programming and writing spark applications in Python. PySpark allows data scientists to perform rapid distributed transformations on large sets of data. Apache Spark is open source and uses in-memory computation. It can run tasks up to 100 times faster,when it utilizes the in-memory computations and 10 times faster when it uses disk than traditional map-reduce tasks.
Big Data Processing with PySpark-training-in-bangalore-by-zekelabs
Assignments
Big Data Processing with PySpark-training-in-bangalore-by-zekelabs
Industry Level Projects
Big Data Processing with PySpark-training-in-bangalore-by-zekelabs
Certification

Big Data Processing with PySpark Course Curriculum



What is Apache Spark?
Spark Jobs and APIs
Resilient Distributed Dataset
Datasets
Project Tungsten
Unifying Datasets and DataFrames
Tungsten phase 2
Continuous applications
Internal workings of an RDD
Schema
Lambda expressions
Transformations
Transformations
Math/Statistical transformations
Data structure-based transformations
flatMap function
coalesce
Actions -reduce,count,collect,Caching
Loading data
wholeTextFiles
Saving RDD
Python to RDD communications
Speeding up PySpark with DataFrames
Generating our own JSON data
Creating a temporary table
DataFrame API query
Interoperating with RDDs
Programmatically specifying the schema
Number of rows
Querying with SQL
Running filter statements using the where Clauses
Preparing the source datasets
Visualizing our flight-performance data
Checking for duplicates, missing observations, and outliers
Missing observations
Getting familiar with your data
Correlations
Histograms
Solving cases
Overview of the package
Getting to know your data
Correlations
Creating the final dataset
Splitting into training and testing
Logistic regression in MLlib
Random forest in MLlib
Overview of the package
Estimators
Regression
Pipeline
Loading the data
Creating an estimator
Fitting the model
Saving the model
Grid search
Other features of PySpark ML in action
Discretizing continuous variables
Classification
Finding clusters in the births dataset
What is Spark Streaming?
What is the Spark Streaming application data flow?
Introducing Structured Streaming
The spark-submit command
Deploying the app programmatically
Creating SparkSession
Structure of the module
User defined functions in Spark
Monitoring execution

Frequently Asked Questions


We have options for classroom-based as well as instructor led live online training. The online training is live and the instructors screen will be visible and voice will be audible. Your screen will also be visible and you can ask queries during the live session.

The training on "Big Data Processing with PySpark" course is a hands-on training. All the code and exercises will be done in the live sessions. Our batch sizes are generally small so that personalized attention can be given to each and every learner.

We will provide course-specific study material as the course progresses. You will have lifetime access to all the code and basic settings needed for this "Big Data Processing with PySpark" through our GitHub account and the study material that we share with you. You can use that for quick reference

Feel free to drop a mail to us at info@zekelabs.com and we will get back to you at the earliest for your queries on "Big Data Processing with PySpark" course.

We have tie-ups with a number of hiring partners and and placement assistance companies to whom we connect our learners. Each "Big Data Processing with PySpark" course ends with career consulting and guidance on interview preparation.

Minimum 2-3 projects of industry standards on "Big Data Processing with PySpark" will be provided.

Yes, we provide course completion certificate to all students. Each "Big Data Processing with PySpark" training ends with training and project completion certificate.

You can pay by card (debit/credit), cash, cheque and net-banking. You can also pay in easy installments. You can reach out to us for more information.

We take pride in providing post-training career consulting for "Big Data Processing with PySpark".



Recommended Courses


Big Data Processing with PySpark-training-in-bangalore-by-zekelabs
Deep Learning using Python
  More Info  
Big Data Processing with PySpark-training-in-bangalore-by-zekelabs
Apache Spark Debugging & Performance Tuning
  More Info  
Big Data Processing with PySpark-training-in-bangalore-by-zekelabs
Big Data Processing with Spark 2.0
  More Info  
Feedback