PySpark with Azure DataBricks Online Training

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4627 Reviews 4.9

Learners : 1080

Duration :  15 – 20 Days

About Course

Our PySpark with Azure Databricks Online Training:

PySpark is an Apache Spark interface developed for Python which is used to collaborate with Apache Spark for supporting features like Spark SQL, Spark DataFrame, Spark Streaming, Spark Core, and Spark MLlib.

Microsoft Azure is quickly climbing the ranks to become one of the most well-known and commonly utilized cloud service platforms that are currently accessible. In the future, there will be a need for more Azure professionals to meet the increased demand.

PySpark with Azure DataBricks Training Course Syllabus

Spark and Azure DataBricks Architecture

Mounting ADLS with Azure Data Bricks



Parallelize () and repartition

Struct Type and Struct Field

Select, With column and with column renamed




Dataframe Operations

Reading different Files

Pyspark SQL Functions

Mounting to Databricks

Cluster Types and setting up the clusters

Pyspark Built-in Functions

Cosmos DB connectivity with Azure Databricks

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PySpark with Azure DataBricks Training FAQ'S

What is PySpark?

PySpark is an Apache Spark interface in Python. It is used for collaborating with Spark using APIs written in Python. It also supports Spark’s features like Spark DataFrame, Spark SQL, Spark Streaming, Spark MLlib, and Spark Core. It provides an interactive PySpark shell to analyze structured and semi-structured data in a distributed environment. PySpark supports reading data from multiple sources and different formats. It also facilitates the use of RDDs (Resilient Distributed Datasets). PySpark features are implemented in the py4j library in Python.

PySpark with Azure databricks

PySpark with Azure databricks

PySpark with Azure databricks

What is Azure Databricks?

Azure Databricks is a powerful platform that is built on top of Apache Spark and is designed specifically for huge data analytics. Setting it up and deploying it to Azure take just a few minutes, and once it's there, using it is quite easy. Because of its seamless connectivity with other Azure services, Databricks is an excellent choice for data engineers who want to deal with big amounts of data in the cloud. This makes Databricks an excellent solution.

What are the characteristics of PySpark?

  • Abstracted Nodes: This means that the individual worker nodes can not be addressed.
  • Spark API: PySpark provides APIs for utilizing Spark features.
  • Map-Reduce Model: PySpark is based on Hadoop’s Map-Reduce model this means that the programmer provides the map and the reduce functions.
  • Abstracted Network: Networks are abstracted in PySpark which means that the only possible communication is implicit communication.

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What are the advantages of Microsoft Azure Databricks?

Utilizing Azure Databricks comes with a variety of benefits, some of which are as follows:

  • Using the managed clusters provided by Databricks can cut your costs associated with cloud computing by up to 80%.
  • The straightforward user experience provided by Databricks, which simplifies the building and management of extensive data pipelines, contributes to an increase in productivity.
  • Your data is protected by a multitude of security measures provided by Databricks, including role-based access control and encrypted communication, to name just two examples.

Oracle Golden Gate Training

PySpark with Azure databricks

PySpark with Azure databricks

Why do we use PySpark SparkFiles?

PySpark’s SparkFiles are used for loading the files onto the Spark application. This functionality is present under SparkContext and can be called using the sc.addFile() method for loading files on Spark. SparkFiles can also be used for getting the path using the SparkFiles.get() method. It can also be used to resolve paths to files added using the sc.addFile() method.

PySpark with Azure databricks

PySpark with Azure databricks


vishal meda
vishal meda
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Ntr fan
Ntr fan
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Shiva Krishna
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Mohammad ali syed
Mohammad ali syed
It was great and smooth understandable training. You can learn lots.
Govinda Bhatia
Govinda Bhatia
Not recommended as there will be no server access working to do practical after training. Also there will be no fix for the same. So it's wastage of money. If server access not at all working then no meaning to provide server access. Also it not working for single day properly. Need to followup daily but in response you told will fix that sir at home once he will back will fix. After he came back again it's not working and not able to fix for single day also Every time new excuse it's wastage of money.
M Leela mohan
M Leela mohan
I took SQL Server and MSBI Online training with Murali Krishna. I must say the course content was highly qualitative and the trainer covered all concepts. Overall it was a good experience with VISWA Online Trainings.
Attended live Virtual training for IoT Trainer was very good. He had excellent knowledge of IoT and was very good at explaining concepts in detail.…
Lakshmi Lakshmi
Lakshmi Lakshmi
Best sap commerce cloud and Spartacus training institute in india. He provides a great mix of listening, speaking, and practical learning activities and a very safe, supportive learning environment. He maintains a friendly relationship with the students during class. He not only teaches but also monitors our practice status on daily basis.
Ch Chandranath
Ch Chandranath
I have undergone Oracle Tuning training. I can proudly say that this is one of the best training institutes available in the market. The way Mr. Kumar teaches the concepts and makes them understandable is very commendable and unique. Even a novice can clearly understand the concepts clearly after attending his classes.

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