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…
Twitter takes data activation to new heights with Google Cloud
Twitter is an open, social platform that’s home to a world of diverse people, perspectives, ideas, and information. They aim to foster free and global conversations that allow people to consume, create, distribute, and discover information about the topics they care about the most. Founded…
Now generally available: BigQuery BI Engine supports any BI tool or custom application
Customers who work with data warehouses, running BI on large datasets used to have to pick low latency but trading off freshness of data. With BigQuery BI Engine, they can accelerate their dashboards and reports that connect to BigQuery without having to sacrifice freshness of the…
Introducing Serverless Spark for interactive development
At Google Cloud, they are committed to helping you build an open and integrated data platform that meets your specific business needs. Google believe in order to build the world you want, you need to be able to use the tools you want, on a…
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Recent Posts
- Utilizing Cloud Support API to Programmatically Update Support Cases
- Cloud Wisdom Weekly: 5 ways to reduce costs with containers
- Google Cloud Deploy gets continuous delivery productivity enhancements
- Accelerate your developer productivity with Query Library
- Best practices of migrating Hive ACID Tables to BigQuery
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