
BigQuery Editions and What You Need to Know
TL;DR Google is changing the pricing and compute model of BigQuery dramatically for both compute and storage. New orders of Flat-rate and Flex Slots will
Automatically manage cloud compute for optimized costs and agility
Make sense of spend and chargeback to align with your business
Optimize BigQuery costs with actionable recommendations and usage insights
Maximize AWS Spot savings and minimize disruptions for optimized scaling
Autonomously identify cost spikes early, with zero configuration
Learn how we’re redefining support with our customer reliability engineering
View our live support and customer satisfaction statistics in real-time
Ensure your cloud architecture is future-ready and built for success
Identify opportunities to optimize costs and target spend for added value
Harness the potential of big data and analytics to gain a competitive edge
Manage the complexity of Kubernetes to enable innovation and scalability
Transform geolocational data into real-world, real-time intelligence
Level-up key data with ML capabilities that accelerate innovation
Realize greater efficiency and innovation with successful cloud migration
Create meaningful business value with a robust multicloud strategy
Proud to be an AWS Premier Tier Partner and Managed Service Provider.
Proud to be a Google Cloud Premier Partner and Managed Service Provider — and Global Sales Partner of the Year for 2021.
Center security in your cloud strategy to ensure ongoing efficacy and growth
Build skills and capability across teams with certified, expert-led training
Ensure your cloud architecture is future-ready and built for success
Identify opportunities to optimize costs and target spend for added value
Harness the potential of big data and analytics to gain a competitive edge
Accelerate your AWS workloads & release pipelines while also increasing automation, monitoring & reliability
Manage the complexity of Kubernetes to enable innovation and scalability
Transform geolocational data into real-world, real-time intelligence
Level-up key data with ML capabilities that accelerate innovation
Realize greater efficiency and innovation with successful cloud migration
Create meaningful business value with a robust multicloud strategy
Center security in your cloud strategy to ensure ongoing efficacy and growth
Build skills and capability across teams with certified, expert-led training
Accelerate new customer growth and Marketplace integration on AWS and GCP
Develop cloud expertise, optimize costs and grow capability with our proven solutions
Read the latest insights, tips and perspectives from our team of cloud experts
See how we’ve helped thousands of public cloud customers achieve their goals
Discover foundational expertise and future-ready recommendations for the cloud
Tech talks and interactive expert sessions delivered both virtually and in person
See what's new from DoiT in our latest news and announcements
Watch product demos, interviews and more from our cloud experts
Browse our open positions and learn more about what it takes to be a Do’er
Meet the team leading DoiT and our customers on a journey of hypergrowth
Explore our partnerships with leading public cloud providers AWS and Google Cloud
TL;DR Google is changing the pricing and compute model of BigQuery dramatically for both compute and storage. New orders of Flat-rate and Flex Slots will
TL;DR Google is introducing a new method to autoscale slots along with a new pricing plan to accommodate this. We have created a calculator you
In an edited excerpt from a series on optimizing BigQuery costs and performance, we explore how to identify the queries in your environment that are incurring the most costs.
Primer on BigQuery Cost and Performance Optimizations Previous Articles in this Series Part 1 Part 2 The “Doing” Introduction The past two sections have covered
Primer on BigQuery Cost and Performance Optimizations Overview Below is a list of all queries that are contained in the GitHub repository for this series of articles along with
If you want to speed up your query processing and reduce the costs involved, you should avoid these eight common mistakes.
Primer on BigQuery Cost and Performance Optimizations Other parts in this series: Part 1 Part 3 Continuing On In the first part of this series
Imagine your company is running multiple BigQuery datasets and you just added a new team of analysts querying it a month before. One morning while sipping your coffee (or tea as we don’t want to discriminate) you get your GCP bill and discover that your BQ analysis and storage costs went up by 5,000%.
BigQuery is a versatile data warehouse that helps you turn big data into valuable insights – but you can run up costs fast. In the first of a series of detailed guides, we show you how to use it efficiently.
In my previous article, I showed you how to run containers using Cloud Composer (managed Apache Airflow for the uninitiated). Since that article was published,
From cost optimization to cloud migration, machine learning and CloudOps, we’re here to make the public cloud easy — without the costs.
Ready to get started?