Why BigQuery is The Next Big Thing With Example
By: Satyajit Maitra
Tags: Big Data Analytics, Big Data, Google Cloud Platform, Google, Bigquery

BigQuery is Google’s serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL without the need for a database administrator.

Analyze all your data by creating a logical data warehouse over managed, columnar storage, as well as data from object storage and spreadsheets. Build and operationalize machine learning solutions with simple SQL. Easily and securely share insights within your organization and beyond as datasets, queries, spreadsheets, and reports. BigQuery allows organizations to capture and analyze data in real time using its powerful streaming ingestion capability so that your insights are always current, and it’s free for up to 1 TB of data analyzed each month and 10 GB of data stored.

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.

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.

Foundation for AI: BigQuery provides a flexible, powerful foundation for machine learning and artificial intelligence. Besides bringing ML to your data with BigQuery ML, integrations with Cloud ML Engine and TensorFlow enable you to train powerful models on structured data. Moreover, BigQuery’s ability to transform and analyze data helps you get your data in shape for machine learning.

Foundation for BI: BigQuery forms the data warehousing backbone for modern BI solutions, and enables seamless data integration, transformation, analysis, visualization, and reporting with tools from Google and our technology partners.

Done Talking let’s use some of our useless time and query some easy stuff no join no subquery simple insights with BIGQUERY PROTOTYPES FROM HACKER-NEWS

Check out the dataset for more info this dataset contains some of the coolest knowledgeable topics that you can check and try to learn how to write good post s.

go to the link this is a query link that is the title of Hacker News data for which the the score field is not null.

this query runs the top scorer and the topic they run on.

This query shows how only topic matters and not the title if someone disagree with the line check it to beleive

get all the query from here