Overview
Storing and querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. Simply move your data into BigQuery and let us handle the hard work. You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.
You access BigQuery through the GCP Console, the command-line tool, or by making calls to the BigQuery REST API using a variety of client libraries such as Java, .NET, or Python. There are also a variety of third-party tools that you can use to interact with BigQuery, such as visualizing the data or loading the data. In this lab you access BigQuery using the web UI.
You can use the BigQuery web UI in the GCP Console as a visual interface to complete tasks like running queries, loading data, and exporting data. This hands-on lab shows you how to query tables in a public dataset and how to load sample data into BigQuery through the GCP Console.
Get up and running fast with bigquery
Set up your data warehouse in seconds and start to query your data immediately. BigQuery runs blazing-fast SQL queries on gigabytes to petabytes of data and makes it easy to join public or commercial datasets with your data. Eliminate the time-consuming work of provisioning infrastructure and reduce your downtime with a serverless infrastructure that handles all ongoing maintenance, including patches and upgrades. BigQuery uses familiar ANSI-compliant SQL and provides ODBC and JDBC drivers to make integration with your data fast and easy.
Features of Bigquery:
Serverless: Serverless data warehousing gives you the resources you need, when you need them. With BigQuery, you can focus on your data and analysis, rather than operating and sizing computing resources.
The Power Of serverless computation
Petabyte Scale: BigQuery is fast and easy to use on data of any size. With BigQuery, you’ll get great performance on your data, while knowing you can scale seamlessly to store and analyze petabytes more without having to buy more capacity.
Real-time Analytics: BigQuery’s high-speed streaming insertion API provides a powerful foundation for real-time analytics. BigQuery allows you to analyze what’s happening now by making your latest business data immediately available for analysis.
Flexible Pricing Models : BigQuery enables you to choose the pricing model that best suits you. On-demand pricing lets you pay only for the storage and compute that you use. Flat-rate pricing enables high-volume users or enterprises to choose a stable monthly cost for analysis. For more information see BigQuery pricing.
Automatic High Availability: Free data and compute replication in multiple locations means your data is available for query even in the case of extreme failure modes. BigQuery transparently and automatically provides durable, replicated storage and high availability with no extra charge and no additional setup
Data Encryption and Security: You have full control over who has access to the data stored in BigQuery. BigQuery makes it easy to maintain strong security with fine-grained identity and access management with Cloud Identity and Access Management, and your data is always encrypted at rest and in transit.
Standard SQL:BigQuery supports a standard SQL dialect which is ANSI:2011 compliant, reducing the need for code rewrite and allowing you to take advantage of advanced SQL features. BigQuery provides free ODBC and JDBC drivers to ensure your current applications can interact with BigQuery’s powerful engine.This is a savage for less knowledgeable people like me who hates learning new stuff’s everyday.
