Inside the Cloud with Matt Kelberman, VP of Business Analytics
66degrees introduces “Inside the Cloud,” featuring technical expert interviews with the best in the industry. Our experts’ specialization within Google Cloud ensures that we are at the forefront of cloud computing and are eager to share our knowledge and experience with you! For our first interview, we sat down with Matt Kelberman to discuss the […]
Migration from AWS Aurora to GCP’s new PostgreSQL, AlloyDB Made Easy
Over the last 8 years, our team has been building experiences that simplify the creation of secure cloud architectures through infrastructure as code (IaC). Some members of our team are former AWS consultants with cloud formation battle scars. A magical thing happened about a year ago, when these team members started pooling their experience into […]
Google Cloud Data Encryption Practices: Encryption at Rest, in Transit, & In-Use
Google Cloud data encryption tools and processes make the journey to insightful, effective, and privacy-forward business practices possible. The cloud computing space has always been at the heart of the movement to more private, secure systems to protect our data. However, with a new generation of encryption solutions from Google Cloud, organizations can now control […]
Google Launches BigLake, a Bottomless Data Lake for Storing Data from Anywhere
At the 2022 Cloud Data Summit, Google announced the launch of BigLake, a new cross-platform solution that went into preview on April 13 and will make it easier to analyze data, regardless of where or how it’s stored. It’s big news for developers looking for a more uniform storage engine to streamline their business data. […]
Google Cloud SQL: Best Practices for Maximizing High Availability
For companies large and small, usage of Google Cloud SQL instances always shares one common business requirement: high availability. High availability is a system’s ability to operate continuously without failure. For traditional, on-premise SQL instances, high availability can be fraught with data availability and consistency issues, but Google Cloud SQL makes it easy for your […]
How the Looker and Tableau Integration Provides Users With the Best of Both Worlds
One of the most exciting announcements during Google Cloud Next ‘21 was the integration between Google Cloud’s Looker and Salesforce-owned Tableau. This integration will make data analysis and visualization more accessible to businesses across the board. Making business decisions driven by data is essential to compete in the market today. Companies like Google and Salesforce […]
Looker 101: Benefits, Uses, & More
Share this article Business intelligence (BI) tools help companies organize and make sense of their data. Looker, acquired by Google in 2019 and now part of the Google Cloud Platform, has become a frontrunner among BI tools. But, if you’re coming from a popular BI platform like Power BI or Tableau, Looker can be a […]
Google AutoML Vision Tutorial: How to Build an Image Classifier
Ever wonder about the technology that makes it possible for a machine to tell the difference between two objects in one photo? Object detection is a breakthrough technology with many benefits: It allows for data scale, catches anomalies and other unusual behavior, and automates the time-consuming process of analyzing photo feeds manually. Google’s AutoML Vision […]
BigQuery Pricing Explained
The datasphere is expanding exponentially with more sources, applications, and methods than ever before. As it grows, data pros increasingly seek more innovative and cost-effective strategies to ingest, store, and analyze data in a meaningful way. This article gets into BigQuery pricing explained along with how this Google Cloud Platform offering addresses these issues. What […]
Cloud Data Warehousing: Snowflake vs. BigQuery
If you’re looking at data warehousing solutions, you might be wondering which one comes out on top when comparing Snowflake vs. BigQuery. Both are solid options for cleaning up, standardizing, and improving data quality and have their own strengths. For instance, developers like Snowflake for its auto-scaling abilities, while Google Cloud’s BigQuery is easy to […]
