Streamline data analysis, gain insights, and make better decisions.
Serverless Data Storage helps you focus on the right tasks
With BigQuery, users can focus on data management and analysis instead of upgrades, protection, and management of basic infrastructure. Unlike traditional data storage, serverless data storage will help you avoid going through ETL and save your team more time.
Analyze data with speed and accuracy
Get instant access to data, view the latest updates, utilize machine learning to predict business outcomes, no migration of data is needed.
Building AI-based infrastructure
BigQuery provides tools such as BigQuery ML and TensorFlow that enable data analysts to build and operationalize ML models with existing SQL, all completed within minutes.
Manage your data in a secure environment, simplify data analysis
BigQuery provides secure and reliable data management to ensure high availability and 99.99% uptime SLA. Users may also safeguard their data with encryption by default to protect their data.
Federated query and logical data warehousing
With a federated query, users can process data in the cloud storage without moving the data. BigQuery can also process external data such as Parquet and ORC open-source file formats, Bigtable, and Cloud SQL.
BiqQuery data transfer service
This data transfer service can move data from Google Marketing Platform, Google Ads, Youtube, and SaaS software to BiqQuery on a designated schedule. Users can easily move data from Teradata and Amazon S3 to BigQuery.
Users have to invest in hardware infrastructure and maintenance for EDW. But with Google BigQuery, users can run data analytics at scale to save up to 52% of their TCO.
Applications for different use cases
Microfusion provides solutions for your data management. We help different industries overcome their challenges:
Media: having a difficult time to optimize ads and prevent loss of subscriptions
E-commerce / Retailer: Customers does not make a transaction, members keep dropping
Gaming: invested time and money on game developments but cannot enhance user engagement.
We help you from the start of data analysis, from data import, extract, clean, transform, and analysis, all can be done with BigQuery on Google Cloud. It is compatible with numerous types of data, including CSV, JSON, AVRO, and can process petabytes of data at blazing speed.
Tools such as Dataprep and Dataflow can further clean and transform your data, and all data can be imported to Data Studio for visualization, enabling users to get a full picture of their data, and power better business decisions.