What is BigQuery?

BigQuery is a fully managed data warehouse and analytics platform. The biggest advantage of BigQuery over Xertex AI is its advanced querying capabilities and big data analysis over larger datasets. The 4 phases of model development through BigQuery are as follows:

Workflow of BigQuery

1. Ingestion – Similar to the vertex AI phase, Ingestion in BigQuery focuses on data collection and preparation. It can be done through loading a batch of data of individual records at a time.
2. Storage – Since BigQuery works on big data querying and analysis, the data is stored in structural tables. The storage is managed in highly available compute clusters with distributed memory shuffles.
3. Analysis – It supports various types of analysis like Business intelligence using BI Engine, Geospatial analysis using GoogleSQL, Machine Learning analysis using BigQuery ML, etc.
4. Visualization – BigQuery provides a free visualization tool called BI Engine Looker Studio for creating visualization. It includes big data visualization through charts, graphs, table schemas, statistical reports, etc.

BigQuery provides a fully managed data warehouse through which it takes care of the entire infrastructure. Thus, the user/developer only needs to focus on data analysis tasks. Through this feature, the developer can analyze the data up to Petabytes of scale. Some of the biggest use cases of the BigQuery platform comes in the field of Business intelligence (BI) and Data Mining. Alongside this, BigQuery is also used in performing market analysis, complex data processing, and machine learning tasks.

There is a widespread trend and belief in the technology industry that “The Future is Cloud”. It is estimated that all the physical computations will be carried out by cloud in the future through cloud computing. Cloud Platforms from Google, Amazon, and Microsoft have shown a solid and significant growth in cloud computing and infrastructure. This article delves into two of the biggest pillars of cloud-based services provided by Google Cloud i.e. Vertex AI and BigQuery. Both platforms have vast use cases and limitations. Before heading into the key differences between the two platforms, let us analyze each platform in brief.