Posts in category

Data


“Cloud Wisdom Weekly: for tech companies and startups” is a new blog series we’re running this fall to answer common questions our tech and startup customers ask us about how to build apps faster, smarter, and cheaper. In this installment, Google Cloud Big Data & Analytics Consultant Julianne Cuneo explores how to get started using …

The European Union is advancing legislation to strengthen security requirements for all digital hardware and software products. The proposal aims to curb cybercrime, which cost the global economy an estimated €5.5 trillion in 2021. Many personal devices that are connected to the internet are particularly vulnerable to hacks. Lawmakers are seeking to strengthen cybersecurity requirements …

We’re fortunate to work with some of the world’s most innovative customers on a daily basis, many of whom come to Google Cloud for our well-established expertise in data analytics and AI. As we’ve worked and partnered with these data leaders, we have encountered similar priorities among many of them: to remove the barriers of …

Backup is a fundamental aspect of application protection. As such, the need for a seamlessly integrated, centralized backup service is vital when seeking to ensure resilience and recoverability for data generated by Google Cloud services or on-premises infrastructure. Regardless of whether the need to restore data is triggered by a user error, malicious activity, or …

Take a look at a data sharding scenario in which DistSQL’s flexibility allows you to create a distributed database. Distributed databases are common for many reasons. They increase reliability, redundancy, and performance. Apache ShardingSphere is an open source framework that enables you to transform any database into a distributed database. Since the release of ShardingSphere …

Google Cloud allows you to move your PostgreSQL databases to Cloud SQL with Database Migration Service (DMS). DMS gives you the ability to replicate data continuously to the destination database, while the source is live in production, enabling you to migrate with minimum downtime. However, terabyte-scale migrations can be complex. For instance, if your PostgreSQL …

Dataflow is the industry-leading unified platform offering batch and stream processing. It is a fully managed service that comes with flexible development options (from Flex Templates & Notebooks to Apache Beam SDKs for Java, Python and Go) and a rich set of built-in management tools. It comes with seamless integrations with all Google Cloud products, …

Data governance includes people, processes, and technology. Together, these principles enable organizations to validate and manage across dimensions such as: Data management, including data and pipelines lifecycle management and master data management. Data protection, spanning data access management, data masking and encryption, along with audit and compliance. Data discoverability, including data cataloging, data quality assurance, …

  1. You need more than ACID An RDBMS’s atomicity, consistency, isolation, and durability are not what they seem to be.  Specifically, consistency and isolation have undergone a facelift in recent years.  Consistency (in the colloquial usage, see #4) is now tailored to the datasets and workloads of your specific use case, especially in the case of data intensive …

A few weeks ago, we announced third-party event sources for Eventarc, with the first cohort of third-party providers by our ecosystem partners. This blog post describes how to listen for events from one of those third-party providers, Datadog, and route them to a service in Google Cloud via Eventarc. Datadog is a monitoring platform for …