Big Data Google Cloud Platform Q&A
Ask Experts
Ask Experts
In this webinar the Google Cloud Experts will answer some tough cloud-related questions. Seats are limited, so save your spot today!
April 27th, 2021
18.00 CET | 12 PM EST | 9 AM PST
FREE WEBINAR
About Webinar
The possibility to cloud native services is one of the most popular topics related to Big Data projects today. Many companies are interested in migrating their data platforms to the cloud as well as using data processing and analysis tools more intensively if being already there. One of the popular options is Google Cloud Platform - a platform and a set of tools where you can implement solutions using infrastructure managed by Google.
The implementation or migration to cloud is a challenge for many companies, which raises many questions and doubts. In this webinar you will find answers to some non-standard questions that we collected during the implementation of cloud projects. Each participant also has the opportunity to ask his own question.
The implementation or migration to cloud is a challenge for many companies, which raises many questions and doubts. In this webinar you will find answers to some non-standard questions that we collected during the implementation of cloud projects. Each participant also has the opportunity to ask his own question.
Who needs this webinar definitely?
This webinar is for anyone who would like to know more Google
Cloud Platform:
Cloud Platform:
- Data Architects
- Business Leaders
- Big Data Projects Managers
- IT Managers
- Business Leaders
- Digital Transformation Leader
- and everyone interested in Google Cloud Platform
Who needs this webinar definitely?
This webinar is for anyone who would like to know more about Google
Cloud Platform
Cloud Platform
- Data Architects
- Business Leaders
- Big Data Projects Managers
- IT Managers
- Business Leaders
- Digital Transformation Leaders
- and everyone interested in Google Cloud Platform
During the webinar we will learn:
April 27, 2021
- Which GCP tools increase productivity and makes it easier to work with Big Data in your projects?
- Is it safe to put your sensitive data to the cloud?
- Is storing data in BigQuery vendor lock-in?
- How cost effective is BigQuery in comparison to other databases?
- What are the simplest ways to migrate my data into GCP?
Durning the video you will talk about
Free video
- Which GCP tools increase productivity and makes it easier to work with Big Data in your projects?
- Is it safe to put your sensitive data to the cloud?
- Is storing data in BigQuery vendor lock-in?
- How cost effective is BigQuery in comparison to other databases?
- What are the simplest ways to migrate my data into GCP?
Join our webinar today!
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Join our webinar today!
Don't forget to leave a question to our experts
By clicking the button you agree our Privacy Policy
About Speakers
Mateusz Pytel - Throughout his career Mateusz worked with multiple open-source Big Data technologies in areas like marketing, banking and ecommerce. With time his focus switched from on premise solutions to cloud adoption, working mostly with Google Cloud.
Arkadiusz Gąsior - Data Engineer with over 15yrs professional experience. Used various data tools and frameworks Google Cloud Platform, Hadoop, Kafka, Elasticsearch and more. His recent achievements includes working on GCP training, automation, designing petabyte scale cloud based data warehouse and working on tools for data ingestion, transformation and analytics.
Tomasz Żukowski - Tomasz gained experience during his work in logistics, medical services and IT. As a data analyst Tomasz was building repots by means of Microsoft Excel and VBA. Tomasz has been working with SQL and Python. Currently he is taking care of analyzing Big Data by using Hadoop ecosystem, Python and R.
Piotr Pilis - has been working in Big Data for over three years, mainly in the Google Cloud Platform environment. In GetIndata, he implements Data Lake and implements analytical use-cases based on the Google Cloud
Arkadiusz Gąsior - Data Engineer with over 15yrs professional experience. Used various data tools and frameworks Google Cloud Platform, Hadoop, Kafka, Elasticsearch and more. His recent achievements includes working on GCP training, automation, designing petabyte scale cloud based data warehouse and working on tools for data ingestion, transformation and analytics.
Tomasz Żukowski - Tomasz gained experience during his work in logistics, medical services and IT. As a data analyst Tomasz was building repots by means of Microsoft Excel and VBA. Tomasz has been working with SQL and Python. Currently he is taking care of analyzing Big Data by using Hadoop ecosystem, Python and R.
Piotr Pilis - has been working in Big Data for over three years, mainly in the Google Cloud Platform environment. In GetIndata, he implements Data Lake and implements analytical use-cases based on the Google Cloud
Patronage
Warsaw Data Tech Talks (formerly Warsaw Hadoop User Group) - still as WHUG, was one of the first European Hadoop supporters. From the beginning of the group's operation (April 2012), we managed to successfully organize 40 meetings and convince 2244 people to join the group. We had the pleasure to host companies such as Spotify, Criteo, GetinData, dataArtisans, GridGain, TouK and many others.
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