Streamline data analysis, gain insights, and make better decisions.
Are you troubled with the following challenges when trying to analyze data?
Are you often overwhelmed by the flock of data coming from different sources?
As the scale of the database grows, how do we turn data into meaningful insights that can fuel business growth?
How can we use the data better if our data scientists are occupied with infrastructure deployment and maintenance?
Leave the problems to us.
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.
Get instant access to data, view the latest updates, utilize machine learning to predict business outcomes, no migration of data is needed.
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.
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.
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.
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.
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.