The summary of essential information about Google Cloud in July 2022.
Do you need an up-to-date copy of the data you’re storing in Cloud SQL for SQL Server? Cloud SQL now supports setting up replication from your Cloud SQL instance to an external subscriber (or to another Cloud SQL instance) using a SQL Server capability called transactional replication.
This gives you another way to create an ongoing copy of your SQL Server data in another instance, which can enable a variety of scenarios, including data protection or data analysis. Read More.
The ability to quickly migrate databases to GCP without having to worry about refactoring or developing new reporting and BI tools is a key capability for businesses migrating to CloudSQL. Read More.
Some of the momentum is more foundational, such as the hundreds of academic citations that Google AI researchers earn each year, or products like Google Cloud Vertex AI accelerating ML development and experimentation by 5x, with 80% fewer lines of code required.
AI is for everyone, and it should be easy to harness in workflows of all kinds and for people of all levels of technical expertise. Read More.
Organizations are driving the complete transformation of their business by inventing new ways to accomplish their objectives using the cloud; from making core processes more efficient, to improve how they reach and better serve their customers, to achieving insights through data that fuel innovation.
Cloud infrastructure belongs at the center of every organization’s transformation strategy. Read More.
The Mainframe Connector enables Google Cloud users to upload data to Cloud Storage and submit BigQuery jobs from mainframe-based batch jobs defined by job control language (JCL).
One of the main challenges in migrating from the mainframe has always been moving data to the cloud. Read More.
Over the past couple of years, businesses across every industry have faced unexpected challenges in keeping their enterprise IT systems safe, secure, and available to users
Adapting to these new requirements can be especially complex for companies that run their SAP enterprise applications in on-premises environments. Read More.
Data security is a huge part of an organization's security posture. Encryption is a core control for data security, and Google Cloud offers multiple encryption options for data at-rest, in-transit, and even in-use.
To help protect your data, Google encrypts data at rest, ensuring that it can only be accessed by authorized roles and services, with audited access to the encryption keys. Read More.
By the end of 2024, 75% of enterprises will shift from piloting to operationalizing artificial intelligence according to IDC, yet the growing complexity of data types, heterogeneous data stacks and programming languages make this a challenge for all data engineers.
Today, we are pleased to announce three major releases that bring the power of Google Cloud’s Dataflow to more developers for expanded use cases and higher data processing workloads. Read More.
Earlier this year, we previewed BigLake, a storage engine that extends innovations in BigQuery storage to open file formats running on public cloud object stores. This allows customers to build secure multi-cloud data lakes over open file formats.
Data continues to grow in volume and is increasingly distributed across lakes, warehouses, clouds, and file formats. Read More.
Want to know the latest from Google Cloud? Find it here in one handy location. Check back regularly for our newest updates, announcements, resources, events, learning opportunities, and more.
Tip: Not sure where to find what you’re looking for on the Google Cloud blog? Start here: Google Cloud blog 101: Full list of topics, links, and resources. Read More.
Source: https://cloud.google.com/blog/products/gcp