MUTHUKUMAR Subramanian
This course is designed for professionals from zero experience to already skilled professionals to enhance their Spark SQL Skills. Hands on session covers on end to end setup of Spark Cluster in AWS and in local systems.
COURSE UPDATED PERIODICALLY SINCE LAUNCH: Last Updated : December
What students are saying:
5 stars, This is classic. Spark related concepts are clearly explained with real life examples. – Temitayo Joseph
In data pipeline whether the data is in structured or in unstructured form, the final extracted data would be in structured form only. At the final stage we need to work with the structured data. SQL is popular query language to do analysis on structured data.
Apache spark facilitates distributed in–memory computing. Spark has inbuilt module called Spark–SQL for structured data processing. Users can mix SQL queries with Spark programs and seamlessly integrates with other constructs of Spark.
Spark SQL facilitates loading and writing data from various sources like RDBMS, NoSQL databases, Cloud storage like S3 and easily it can handle different format of data like Parquet, Avro, JSON and many more.
Spark Provides two types of APIs
Low Level API – RDD
High Level API – Dataframes and Datasets
Spark SQL amalgamates very well with various components of Spark like Spark Streaming, Spark Core and GraphX as it has good API integration between High level and low level APIs.
Instructor Details
Courses : 3
Specification: Apache Spark SQL – Bigdata In-Memory Analytics Master Course
|
9 reviews for Apache Spark SQL – Bigdata In-Memory Analytics Master Course
Add a review
| Price | $12.99 |
|---|---|
| Provider | |
| Duration | 4.5 hours |
| Year | 2019 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$12.99
Renjith Gk –
Good starting.. was able to start..
David Hagan –
have had a hard time finding this type of info for prep for the exam.
Navin Agarwala –
The course is good for beginners to imbibe a basic level of understanding of spark. The instructor did well to explain the concepts. The course lacked real world examples and configuration required to get started with Spark. Also, few exercises could have made the course interactive
Tolulope Adegunle –
useful hands on examples
Sreelakshmi ck –
Will help you to understand spark in and out
Stanley Job –
Great work, precise and all topics are covered in a very minimal time and with high clarity of communication
Kuldeep Singh –
Course was not as expected
Rich Logan –
Needed more consistency between lectures and labs. Reccomend mentioning depencendies (MySQL, PuTTy…) as a section in course overview.
Meltem Tutar –
He actually explains the technical background of distributed computing that a lot of other more popular courses are missing. It’s great! Very foundational and knowledgable course.