Google Expands Cloud for Data Management in 2022

Google has recently increased the capacity of its cloud servers. It has introduced a series of preview capabilities.

There was a conference organized as the Google Cloud Next ’22. This was a big event wherein Google shared its add-on capacities in the BigLake data lakehouse service.

With these, the leading search engine is now supporting the open-source Apache Iceberg data lake table format. This is extremely popular among vendors like Cloudera, Starburst, and Snowflake.

Now, new capabilities are also launched to Google’s BigQuery data warehouse service for supporting unstructured data together with the Apache Spark query engine. It is also combining BigQuery (which is a fully managed enterprise data warehouse) together with the Google Datastream service, which allows synchronizing datasets across heterogeneous databases and applications with complete reliability and minimal latency. The downtime is also lesser. It’s a breakthrough that helps leading BPOs like Eminenture for data entries and drawing big data solutions seamlessly. Now, it’s easier to bring datasets into BigQuery from Oracle, PostgreSQL, and MySQL-like databases.

With these new capacities, Google is not turning back. It’s marking its footprint as a leading tech giant.

What Do BigQuery Previews Have?

Assisting Apache Spark, unstructured data, and connections with Datastream has made it crystal clear that Google pursues data management system datasets and new data lake opportunities. Now, it manages its data-based systems and the BigLake platform more aggressively.

Google Focuses on Iceberg

With these launches of innovations, Google Cloud emphasizes more formats, especially for Apache Iceberg. It’s a new table format that administers risks or challenges with the legacy catalogs.

With this assistance, it’s easier for users to store and manage data effectively in the open-source table format. While doing so, they still have a choice to use BigQuery for data queries.

After this, Google is planning to enhance the capacities of the open-source Apache Hudi and Delta Lake table formats. Various large enterprises like Walmart are widely using Hudi. And, Delta Lake is an open-source data lake table format handled by the Linux Foundation.

Upgrades for BigQuery

These open data cloud capacities like data lake table formats have updated BigQuery. This enhancement idea is inspired by the thought of being ready to deal with all possible data types in every format. With this, Google has refined and empowered its capacities to deal with unstructured data for BigQuery.

The rolling out of this update will fill the dots between structured and unstructured datasets. Now, users would have the ability and convenience to overcome the gap between these structured and unstructured data architectures while working irrespective of data types.

This update proves a helping hand for organizations that were struggling to have benchmark data quality. With these preview capacities and data lineage features, data management plus quality assessment would be automated.

It is necessary and a key concern to have proper and effective data management, especially in an open data cloud environment. With these leverages, understanding, managing, and securing databases won’t be a battle anymore.