Learn How to Create Resilient Streaming Analytics Systems on Google Cloud

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Building Resilient Streaming Analytics Systems on Google Cloud Course Overview


The Building Resilient Streaming Analytics Systems on Google Cloud course is designed to teach students the best practices and tools for building robust and reliable streaming analytics solutions in Google Cloud. This course covers topics such as:
•Streaming analytics on Google Cloud
•Using Cloud Dataflow for fast, reliable, and efficient data processing
•Creating real-time and batch pipelines with Cloud Dataflow
•Administering, monitoring, and debugging Cloud Dataflow pipelines
•Architecting resilient streaming analytics solutions
•Integrating Cloud Dataflow with other Google Cloud services
•Using serverless solutions to build streaming solutions
At the end of this course, students will have gained an understanding of the capabilities and use cases of streaming analytics in Google Cloud, the tools and techniques they need to build reliable and fault-tolerant streaming solutions, and how to integrate these solutions into their existing architecture.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.
Live Online Training (Duration : 24 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites

This training course is intended for developers, data engineers, and system architects who want to learn how to use Google Cloud Platform (GCP) technologies to build resilient streaming analytics systems. Prior knowledge of GCP technologies, such as Cloud Pub/Sub, Cloud Dataflow, and BigQuery is beneficial but not required. Additionally, having experience using compute on Google Cloud, including Compute Engine and Container Registry, is beneficial.

Target Audience


The Building Resilient Streaming Analytics Systems on Google Cloud training course is suitable for developers, engineers, IT professionals and technical decision-makers who want to understand and learn the benefits of using Google's Cloud technology for streaming analytics systems
The course can be beneficial to individuals who have an analytics or engineering background, but have limited knowledge of Google's Cloud platform
Further, anyone interested in designing and managing a streaming analytics system on Google Cloud will gain valuable insights through this course
Moreover, the course provides a good opportunity for experienced Big Data engineers, data architects, and software engineers to further develop their skill set
In addition, this training could benefit developers, general managers, stakeholders, and system administrators who want to benefit from the power of Google Cloud

Learning Objectives of Building Resilient Streaming Analytics Systems on Google Cloud


1. Learn how to integrate Kafka with the Google Compute Engine in order to deliver a production-ready streaming analytics system.
2. Understand how to use the Google Cloud Platform to scale streaming analytics pipelines.
3. Gain knowledge of software and tools such as Apache Beam and Apache Spark for data cleaning, transformation, and modeling.
4. Get proficient in setting up and running streaming data pipelines with BigQuery and DataFlow.
5. Explore ways to deploy machine learning models on top of streaming data for dynamic analysis.
6. Study the use of Google Cloud IoT for ingesting streaming data from edge devices and devices to the cloud.
7. Gain hands-on experience in building resilient, reliable, and high-performance streaming analytics systems on Google Cloud.

FAQ's


Yes, fee excludes local taxes.
Yes, we do.
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
Duration of Ultra-Fast Track is 50% of the duration of the Standard Track. Yes(course content is same).
1-on-1 Public - Select your start date. Other students can be merged. 1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
Yes, you can pay from the course page and flexi page.
Yes, the site is secure by utilizing Secure Sockets Layer (SSL) Technology. SSL technology enables the encryption of sensitive information during online transactions. We use the highest assurance SSL/TLS certificate, which ensures that no unauthorized person can get to your sensitive payment data over the web.
We use the best standards in Internet security. Any data retained is not shared with third parties.
You can request a refund if you do not wish to enroll in the course.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
After you submit your payment, you will land on the payment confirmation screen. It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however, it takes 48 hours for the money to be moved.
Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
Yes, if we have an office in your city.
Yes, we do offer corporate training More details
Yes, we do.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes. You can access courseware for most vendors.
Yes, this is our official email address which we use if a recipient is not able to receive emails from our @koenig-solutions.com email address.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the digital certificate post training completion via learning enhancement tool after registration.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Dubai, London, Sydney, Singapore, New York, Delhi, Goa, Bangalore, Chennai and Gurugram.
Yes you can request your customer experience manager for the same.
Yes of course. 100% refund if training not upto your satisfaction.

Prices & Payments

Yes of course.
Yes, We are

Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

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“It is an interesting story and dates back half a century. My father started a manufacturing business in India in the 1960's for import substitute electromechanical components such as microswitches. German and Japanese goods were held in high esteem so he named his company Essen Deinki (Essen is a well known industrial town in Germany and Deinki is Japanese for electric company). His products were very good quality and the fact that they sounded German and Japanese also helped. He did quite well. In 1970s he branched out into electronic products and again looked for a German name. This time he chose Koenig, and Koenig Electronics was born. In 1990s after graduating from college I was looking for a name for my company and Koenig Solutions sounded just right. Initially we had marketed under the brand of Digital Equipment Corporation but DEC went out of business and we switched to the Koenig name. Koenig is difficult to pronounce and marketeers said it is not a good choice for a B2C brand. But it has proven lucky for us.” – Says Rohit Aggarwal (Founder and CEO - Koenig Solutions)
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