Introducing BigQuery

BigQuery is a fully-managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence. BigQuery's serverless architecture lets you use SQL queries to answer your organization's biggest questions with zero infrastructure management. BigQuery's scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes.

Benefits

Gain insights with real-time and predictive analytics

Query streaming data in real time and get up-to-date information on all your business processes. Predict business outcomes easily with built-in machine learning–without the need to move data.

Access data and share insights with ease

Securely access and share analytical insights in your organization with a few clicks. Easily create stunning reports and dashboards using popular business intelligence tools, out of the box.

Protect your data and operate with trust

Rely on BigQuery’s robust security, governance, and reliability controls that offer high availability and a 99.99% uptime SLA. Protect your data with encryption by default and customer-managed encryption keys.

Features

Serverless          

With serverless data warehousing, Google does all resource provisioning behind the scenes, so you can focus on data and analysis rather than worrying about upgrading, securing, or managing the infrastructure.

Multicloud capabilities  

BigQuery Omni (Preview) allows you to analyze data across clouds using standard SQL and without leaving BigQuery’s familiar interface. Its flexible, fully managed infrastructure allows data analysts or data scientists to have a completely seamless data analysis experience.

Natural language processing      

Data QnA (private alpha) makes it easy for anyone to access the data insights they need through NLP—all while maintaining governance and security controls. Based on Analyza (Google Research), Data QnA enables you to analyze petabytes of data via BigQuery, and can be embedded where users work; chatbots, spreadsheets, BI platforms like Looker, or custom-built UIs.

Built-in ML and AI integrations  

Besides bringing ML to your data with BigQuery ML, integrations with Vertex AI and TensorFlow enable you to train and execute powerful models on structured data in minutes, with just SQL.

Foundation for BI            

BigQuery forms the backbone for modern cloud BI solutions and enables seamless data integration, transformation, analysis, visualization, and reporting with tools from Google and technology partners. To accelerate BI workloads you can turn on BI Engine, an in-memory analysis service, to achieve sub-second query response time and high concurrency for popular BI tools via standard ODBC/JDBC.

Spreadsheet interface  

Connected Sheets allows users to analyze billions of rows of live BigQuery data in Google Sheets without requiring SQL knowledge. Users can apply familiar tools—like pivot tables, charts, and formulas—to easily derive insights from big data.

Real-time analytics         

BigQuery’s high-speed streaming insertion API provides a powerful foundation for real-time analytics, making your latest business data immediately available for analysis. You can also leverage Datastream, Pub/Sub and Dataflow to stream data into BigQuery.

Real-time change data capture and replication   

Synchronize data across heterogeneous databases, storage systems, and applications reliably and with minimal latency with Datastream. Datastream integrates with purpose-built and extensible Dataflow templates to pull change streams written to Cloud Storage, and create up-to-date replicated tables in BigQuery for real-time analytics.

Automatic high availability          

BigQuery transparently and automatically provides highly durable, replicated storage in multiple locations and high availability with no extra charge and no additional setup.

Standard SQL    

BigQuery supports a standard SQL dialect that is ANSI:2011 compliant, which reduces the need for code rewrites. BigQuery also provides ODBC and JDBC drivers at no cost to ensure your current applications can interact with its powerful engine.

Get started with BigQuery

You can start exploring BigQuery in minutes. Take advantage of BigQuery's free usage tier or no-cost Sandbox to start loading and querying data.

  1. BigQuery's sandbox: Get started in the BigQuery Sandbox, risk-free and at no cost.

  2. Cloud Console quickstart: Familiarize yourself with the power of the BigQuery Console.

  3. Public datasets: Experience BigQuery's performance by exploring large, real-world data from the Public Datasets Program.

If you wanna learn more you can check the documentation following the link.

Many businesses rely on data today. 80% of business operations are running in the cloud, and almost 100% of business-related data and documents are now stored digitally. Data helps businesses gain a better understanding of processes, improve resource usage, and reduce waste; In essence, data is a significant driver to boosting business efficiency and profitability. Contact us, if your organization need or want to implement serverless or multicloud services, , at Southlights we have a vast experience as DevOps as a Service.

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