AI Data CloudSnowflake

Used by thousands of leading companies worldwide, Snowflake is a global standard data cloud that provides a one-stop solution for data storage, analysis, and sharing.
Its cloud-native architecture, which overturns conventional wisdom about DWH (data warehouses), enables infinite scalability and cost optimization, making it the data infrastructure of choice for businesses of all sizes, from startups to large corporations.

Overview

Snowflake is a "data cloud" that enables data storage, processing, and analysis on a single platform. Unlike traditional data warehouses, it eliminates data "silos" by adopting a cloud-native architecture. It allows you to securely and seamlessly integrate and utilize all data across different cloud environments, including AWS, Azure, and Google Cloud. It also provides fully managed services, significantly reducing the operational burden on users.

function

Snowflake allows you to cover multiple use cases with one platform.

• Data Warehouse
High-speed SQL processing allows you to instantly analyze large amounts of data and create reports.


• Data Lakehouse
Not only structured data (CSV, Excel, etc.) but also semi-structured data (JSON, XML, Parquet, etc.) can be saved in its original format.


• Data Engineering
It takes your data from ingestion to transformation in a simple yet robust pipeline.


• Analytics
Supports Python, Java, Scala, and more, allowing you to build and deploy machine learning models directly on large-scale data.


• AI
Our comprehensive suite of AI services makes it easy to analyze unstructured data, build agents, and create ML workflows in the same secure, governed environment as your data.


• Applications and Collaboration
Securely share live data within your organization, with partners and customers, without copying data. You can also sell data as a provider.

Features

• Complete separation of "storage" and "compute"
The location where data is stored (storage) and the computing power (compute) are separate. This means you can accumulate data without worrying about storage capacity, and instantly launch computing resources only when needed.


• No management required
As a SaaS that provides fully managed services, there is no need for complicated management tasks such as infrastructure construction, tuning, patch application, backups, etc. Users can focus solely on "utilizing their data."


• Instant Elasticity
The size of computing resources can be automatically expanded or reduced in response to sudden increases in access, and performance does not decrease even when multiple departments access the system simultaneously.


• Multi-cloud, cross-region
You're not locked into a specific cloud vendor. Data is replicated to regions around the world, facilitating business continuity planning and global expansion.

Benefits

• Cost optimization
Because storage and compute are separated, you only pay for what you use, and there are no compute charges when you don't use it.


• Faster decision-making
The speed of data search and analysis will improve dramatically, enabling management decisions to be made based on near real-time data.


• Fostering a data culture
It is easy to use even for users without specialized knowledge, and data can be easily shared within the company, helping to establish a company-wide "data-driven culture."


• Dramatic reduction in engineer workload
By eliminating the hassle of infrastructure management, IT engineers can shift from "defensive operations" to "offensive data development and analysis."

B-EN-G implementation support

• Deep understanding of "manufacturing" data
  • - Integrate factory data with data from core systems to improve management
  • - Optimize SCM by designing data flows from procurement to manufacturing and sales
  
  
• System architecture design capabilities
  • - Designing an appropriate data infrastructure based on our track record of implementing and maintaining a wide range of systems, including ERP, MES, and IoT
  • - Ability to design data architecture that integrates system data globally and across group companies
  
  
• Supporting data utilization through business perspective and AI
  • - Support for planning and implementing data utilization
  • - Use AI to forecast demand and analyze the causes of quality defects

  Related Solutions

  Master Data Management Implementation Support Services
  B-EN-G, which has been involved in the construction of many information and mission-critical systems, provides total services ranging from preliminary studies such as formulating implementation roadmaps to MDM system construction, master management operation, and system development support.

  
  
  

  Data infrastructure implementation support service
  B-EN-G promotes the utilization of customers' data by providing consistent support from conception to implementation of a cloud-based "data utilization platform" that combines flexible scalability.