In this course, the student will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. The student will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how the data in an analytical system can be used to create dashboards, or build predictive models in Azure Synapse Analytics.
Brijesh has done an excellent job. Things are a little bit slow in May – but RPS is high on our list to fill voids in our schedule. Thank you for being easy to work with!
I want to THANK YOU and your entire team at RPS for partnering with us during this time, Moving all the programs to a virtual environment without disrupting the learning for the Learner. We have had a successful Qtr. of delivering programs virtually.
The vast free webinars that you supported us with were very useful & relevant to the Current industry needs. Please convey our heartfelt thanks to each one of your team members for helping us out On a day to day basis and ensuring that business continuity was never impacted.
Looking forward to our continued partnership.
After a candidate passes all the requirements for a certification, Red Hat will email you the result.
We do not provide loan facility.
If the course fee has been paid for and RPS cancels the Course, a refund will be provided, else the courses are non-refundable.
We do not have facility to pay in installments
Our training centers are available in Bangalore, Chennai, Hyderabad, Pune and Delhi.
Most exams can be booked once you are on the course (e.g. Microsoft, ITIL, VEEAM, EC-Council). Red Hat and some other exams have to be booked in advance.
We can provide customized 1-to-1 training for a technology as per your requirement.
Overseas credit card payments through PayPal involve a mark-up of up to 4% as surcharge.
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Training timings are from 9 am to 5 pm.
Yes, after you have paid the booking amount (which will be non–refundable in this case). Booking amount depends on the technology selected.
The administrative and sales staff works on weekdays (Monday – Friday). System Admins and Operation team are available on all days.
Yes, we do offer weekend classes for professionals in group or 1-to-1 Training depending upon the technology.