[WEBINAR] Any-to-Any Data Integration to and from Google BigQuery

Nowadays, organizations can integrate all their business data and use it in new, innovative ways with only a fraction of the engineering resources.

In this FREE webinar, we show how Dataddo's data integration platform works together with Google BigQuery and other Google Cloud products to form a complete and cost-effective data integration solution.

WATCH FULL WEBINAR

The webinar contains the following segments:

1. Introduction to the Dataddo-Google Cloud partnership and the benefits it brings to mutual customers.
2. Overview of Dataddo, the challenges it aims to solve, and how it works together with Google Cloud to enable any-to-any data integration.
3. Overview of BigQuery and other Google Cloud services, and how they can be used to build a scalable data infrastructure.
4. Demonstration of how Dataddo connects external services to Google Cloud.
5. Outcomes from real-world implementations by mutual customers.

Scroll down for details about these segments, or jump straight to the form below—fill it out and we'll send you the full webinar recording.

The Dataddo-Google Cloud Partnership

In this segment, the speakers discuss, among other things:

• How the Dataddo platform interacts with Google Cloud
• What it means for Dataddo to be Google Cloud Ready
• How Dataddo's connectors are optimized for integrations with Google Cloud
• What benefits the Dataddo-Google Cloud partnership brings to mutual customers  

Overview of Dataddo + How It Works with Google Cloud

First in this segment, Dataddo CEO Petr Nemeth discusses 4 key challenges to the effective and profitable use of data, as well as how Dataddo addresses them. They are:

1. Data silos and integration complexity
2. Resource limitations and cost issues
3. Technical expertise barrier
4. Data quality and consistency concerns

Then, Petr discusses in detail the 3 main ways in which Dataddo operates with Google Cloud, enabling users to send data to data from any source to any destination:

1. Syncing data from cloud-based services to Google Cloud storages via ETL/ELT
2. Syncing data from Google Cloud storages to operational systems like CRMs and marketing automation platforms (like Google Ads) via reverse ETL
3. Database replication

Overview of BigQuery and Other Google Cloud Services

Google Cloud's Staff Architect Jobin George kicks off this segment by presenting some research findings indicating important trends in the use of big data.

Next, Jobin introduces key Google Cloud services and their strengths in building a flexible data architecture:

• BigQuery, its architecture, and how it's being used by Google Cloud customers
• Cloud SQL, its unique features, and what kind of Google Cloud customers use it
• AlloyDB and the kinds of use cases it's intended to support

Dataddo Demo and Customer Outcomes

In this section, Dataddo CEO Petr Nemeth demonstrates how Dataddo flexibly connects data from third-party services to BigQuery, Cloud SQL, AlloyDB, and other Google services. He covers the following points and more:

• Connectors and connector types
• Write modes
• Table mapping
• Inbuilt data quality features

Then, he discusses the success stories of 3 organizations that use Dataddo to move data to and from Google Cloud:

Want to see the full webinar?

Submit the form below and we'll send you an email with links to:

• The full webinar recording
• The slide deck presented in the webinar
• 3 success stories of mutual Dataddo-Google Cloud customers