In this you will know about google big query like:-
What is Google big query?
Why Google big query?
About Google big query?
Functions of Google big query
Benefits of Google big query
Comparison with different query editors
Pricing of Google big query and many more things you need to know about
So, let's get started. If you enjoy this and find the information beneficial, please like and share it with your friends.
4. • Google Big Query came into effect from
2011
• Serverless, highly scalable data
warehouse.
• Helps you manage and analyze your
data with built-in features.
• Big Query was designed for analyzing
data on the orders of billions of rows,
using SQL-like syntax.
• Enables data scientists to build and
operationalize ML models on planet-
scale structured data
5. BigQueryArchitecture
• Big Query’s serverless architecture decouples storage and
compute and allows them to scale independently on
demand.
• This is very different from traditional node-based cloud
data warehouse solutions or on-premise massively
parallel processing (MPP) systems.
• The main component of Big Query architecture is called
Dremel
11. • Cost-effective and highly scalable ‘NoOps’
warehousing solution
• Streamlined analytics with ETL
compatibility and BI connectors
• Creates and Test ML models
• Focusing on innovation, not maintenance
• Built-in DR and data protection for
stronger data security
13. How does Data Warehouse drive business
decisions?
• 360 degree view of businesses.
• Awareness of real time business events.
• Reduce time to insights and make them
available to business users.
• Secure their data and govern its use.
15. • Google Big Query fits corporations with varied
workloads and provides opportunities for querying
large data sets.
• What we like the most is that you don’t have to
worry about any infrastructure problems and
maintenance.