Navigating Google Cloud: a decision tree for data & analytics workloads
Google Cloud provides a wide range of services for running data and analytics workloads, which can mean sifting through a lot of information when choosing the right tools for your specific use cases. Each workload requires a unique set of services, from data ingestion and…
Secure streaming data with Private Service Connect for Confluent Cloud
Data speed and security should not be mutually exclusive, which is why Confluent Cloud, a cloud-first data streaming platform built by the founders of Apache Kafka, secures your data through encryption at rest and enables secure data in motion. However, for the most sensitive data…
How Google scales ad personalization with Bigtable
Cloud Bigtable is a popular and widely used key-value database available on Google Cloud. The service provides scale elasticity, cost efficiency, excellent performance characteristics, and 99.999% availability SLA. This has led to massive adoption with thousands of customers trusting Bigtable to run a variety of their…
Best practices of migrating Hive ACID Tables to BigQuery
Are you looking to migrate a large amount of Hive ACID tables to BigQuery? ACID enabled Hive tables support transactions that accept updates and delete DML operations. In this blog, we will explore migrating Hive ACID tables to BigQuery. The approach explored in this blog…
Scheduling a command in GCP using Cloud Run and Cloud Schedule
Google Cloud CLI makes it very quick and easy for engineers to get started with initial development on Google Cloud Platform and perform many common cloud tasks. The majority of the initial development experience is via the command line interface using tools like gsutil, gcloud,…
Unify data lakes and warehouses with BigLake, now generally available
Data continues to grow in volume and is increasingly distributed across lakes, warehouses, clouds, and file formats. As more users demand more use cases, the traditional approach to build data movement infrastructure is proving difficult to scale. Unlocking the full potential of data requires breaking…
Twitter: gaining insights from Tweets with an API for Google Cloud
Editor’s note: Although Twitter has long been considered a treasure trove of data, the task of analyzing Tweets in order to understand what’s happening in the world, what people are talking about right now, and how this information can support business use cases has historically…
Get value from data quickly with Informatica Data Loader for BigQuery
If data is currency in today’s digital environment, then organizations should waste no time in making sure every business user has fast access to data-driven insights. Informatica and Google Cloud are working together to make it happen. They’re excited to share that Informatica will provide…
Solving for Food Waste with Data Analytics in Google Cloud
With over ⅓ of the food in the USA ending up as waste according to the USDA, it is a compelling challenge to address this travesty. What will happen to hunger, food prices, trash reduction, water consumption, and overall sustainability when we stop squandering this abundance?…
Unlock real-time insights from your Oracle data in BigQuery
Relational databases are great at processing transactions, but they’re not designed to run analytics at scale. If you’re a data engineer or a data analyst, you may want to continuously replicate your operational data into a data warehouse in real time, so you can make…
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Recent Posts
- Generate additional revenue streams with an enterprise data platform using Google Cloud
- Built with BigQuery: Drive growth through data monetization
- Key considerations for evaluating AI-powered tools for enterprise developers
- Introducing new ways Security Command Center Premium protects identities
- Supporting generative AI development with our data cloud partners
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