How to Easily Move Data From Any Data Source to Google BigQuery

Moving data from any data source to Google BigQuery should be an easy and expedited process to allow you to make the most of your big data analytics. But there are many roadblocks that can arise that can complicate the process. Below, we offer a streamlined solution that can help you make the most of BigQuery. 

What is BigQuery?
BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. BigQuery offers ease of use combined with Google infrastructure’s processing power to take the work out of big data analytics. While storing and querying massive datasets can be a time-consuming and costly endeavor, Google BigQuery’s cloud-based platform simplifies the process. 

The Challenges of Creating a Big Data Pipeline
Before you can make the most of BigQuery analytics, you must consolidate your data from various sources, which provides its own set of challenges. You need a solution in place that is flexible enough to handle a range of sources and requires no data mapping or maintenance to keep up with your company’s ever-changing needs. Additionally, the solution needs to have the ability to scale up or down depending on changing throughput.

Sesame Software’s Relational Junction data management suite is designed to meet these challenges and enable BigQuery users to migrate and integrate data from various sources easily and securely. Users can mitigate development costs with Relational Junction’s ease of set-up and lack of maintenance while engaging high-volume data connectors to connect a multitude of data sources and create a single source of truth.

A Solution that Optimizes Big Data Analytics
Relational Junction is built to handle migration and integration complexities no matter the size, volume, or source of data. Relational Junction is fully scalable and connects and aggregates data from different silos and sources, both on-prem and in the cloud. By utilizing data replication, Relational Junction provides users with a mirror copy of their disparate data. Because data is continuously synchronized, all data changes are reflected, ensuring accurate analytics and superior reporting for critical business intelligence. By combining Relational Junction and BigQuery solutions, users can optimize their big data analytics to make mission-critical decisions. 

To learn more about how Relational Junction simplifies data migration and integration for Google BigQuery, request a demo here.

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