Using Google BigQuery for data analytics is one of the easiest and fastest processes to make the most of your data. However, 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 Google 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 processing power to take the work out of big data analytics. While storing and querying massive datasets can be lengthy and costly, 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. This provides its own set of challenges.
You need a solution in place that is flexible – to handle a range of sources without requiring data mapping or maintenance. In order 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.
Relational Junction enables BigQuery users to migrate and integrate data from various sources easily and securely. Users can mitigate development costs with Relational Junction’s ease of setup and lack of maintenance.
In addition, users can engage high-volume data connectors to connect a multitude of data sources. Providing a single source of truth for your data.
A Solution that Optimizes Big Data Analytics
No matter the size, volume, or source, Relational Junction handles migration and integration complexities with ease. Relational Junction is fully scalable and connects and aggregates data from different silos and sources. This is available 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 automatically 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 important decisions. To learn more about how Relational Junction simplifies data migration and integration for Google BigQuery, request a demo.
Crystal is the Chief Marketing Officer at Sesame Software. With more than 15 years of experience working within Silicon Valley, Crystal has held marketing leadership roles with a focus on building, executing, and leading marketing strategies. She is passionate about combining technology, data, and design to execute a successful product vision.