Analytics India Magazine in collaboration with Google Cloud and Qubole is organising a workshop for developers who work extensively on data analytics platforms. This is a huge opportunity for the developers and data engineers who are looking to gain hands-on experience on how to leverage Google Cloud Platform and build end-to-end solutions.
This workshop will be held in Mumbai on 25 January and in Gurugram on 1 February.
Mumbai venue:
Gurugram venue:
If selected, participants will receive a confirmation email stating the same. Only selected participants will be allowed to enter the premise of the workshop. Direct walk-in OR on the day OR on the spot registrations will not be permitted at all.
The last day for registration is:
- 24th January 2020, 11 AM for Mumbai Workshop and,
- 31st January 2020, 11 AM or Gurugram Workshop.
Workshop Details At A Glance
10:00 AM – 10:30 AM Registration
10:30 AM – 11:00 AM Workshop Begins Intros and Workshop Overview
11:00 AM – 12:30 PM Hands-On session on building pipelines for ML
12:30 PM – 1:00 PM Q&A Session
1:00 PM Network + Lunch
Register for the workshop here.
Who Should Attend This Workshop?
This workshop will benefit those participants who:
- want to learn to acquire and transform data sets for data science and analytics
- want to learn how to make data sets available to different users and fully leverage a GCP data lake throughout your organization
- want access to a pre-configured Qubole environment that will be loaded with datasets and the appropriate tools, including Apache Spark and Airflow, as well as interactive notebooks
- want to build an end-to-end solution that addresses common business scenarios
Tools And Techniques That Will Be Used
The participants will get their hands on the following tools and techniques at the workshop:
Create Metadata on Data
- Metastore
- DDLs
Transformation/Cleaning/Denormalization
- Hive/Spark Jobs
- Airflow/Scheduler
- BigQuery Integration
- REST APIs
Data Analysis
- Demonstrate using examples: Autoscaling and Preemptive VMs
- Presto queries
- Qu Workbench
Notebooks Demo
- Zeppelin
- Package Management
Key Takeaways
By the end of this workshop, the participants are expected to know about:
- Ingesting the data to and from Google Cloud Storage (GCS) data lake.
- Performing interactive data analysis and building AI/ML models using Spark or custom python packages.
- Transforming the data set with Spark and building interactive dashboards.
- Seamlessly interacting with other data sources like BigQuery through SQL Workbench.
- Deploying end-to-end data pipeline using Apache Airflow.
Register for the workshop here.
