Data Cloud

A Data Cloud is a large collection of business data used to help an organization make decisions. The concept of the data warehouse has existed since the 1980s, when it was developed to help transition data from merely powering operations to fueling decision support systems that reveal business intelligence.

The large amount of data in data warehouses comes from different places such as internal applications such as marketing, sales, and finance; customer-facing apps; and external partner systems, among others.

Build Data-Intensive Applications
with Snowflake's Data Cloud

Resemble Systems a value added business partner of Snowflake, serving customers with license subscriptions, implementation and support organizations to gain complete view of their business and customers for deeper and more revealing insights. Snowflake customers have achieved significant benefits through optimizing cost of service and achieved more of a competitive advantage in terms of growth.

Our Snowflake data warehouse services is a leading cloud data platform designed to handle all the aspects related to analytics and data. Snowflake data platform solution enables organizations to explore the immense power of data cloud platform and have seamless access to explore, share and unlock the power of data. Snowflake’s fast and reliable cloud data platform helps you to adopt to the fluctuating changes in today’s organization need’s and tomorrow’s data demands.

Key Features

  • Performance and speed
  • Storage and support for structured and semi-structured data
  • Cost effective cloud data platform
  • Concurrency and accessibility
  • Seamless data sharing
  • Availability and security

Data Cloud

A data warehouse is a large collection of business data used to help an organization make decisions. The concept of the data warehouse has existed since the 1980s, when it was developed to help transition data from merely powering operations to fueling decision support systems that reveal business intelligence.

The large amount of data in data warehouses comes from different places such as internal applications such as marketing, sales, and finance; customer-facing apps; and external partner systems, among others.

Build Data-Intensive Applications
with Snowflake's Data Cloud

Resemble Systems a value added business partner of Snowflake, serving customers with license subscriptions, implementation and support organizations to gain complete view of their business and customers for deeper and more revealing insights. Snowflake customers have achieved significant benefits through optimizing cost of service and achieved more of a competitive advantage in terms of growth.

Our Snowflake data warehouse services is a leading cloud data platform designed to handle all the aspects related to analytics and data. Snowflake data platform solution enables organizations to explore the immense power of data cloud platform and have seamless access to explore, share and unlock the power of data. Snowflake’s fast and reliable cloud data platform helps you to adopt to the fluctuating changes in today’s organization need’s and tomorrow’s data demands.

Key Features

  • Performance and speed
  • Storage and support for structured and semi-structured data
  • Cost effective cloud data platform
  • Concurrency and accessibility
  • Seamless data sharing
  • Availability and security

Data Cloud

A Data Cloud is a large collection of business data used to help an organization make decisions. The concept of the data warehouse has existed since the 1980s, when it was developed to help transition data from merely powering operations to fueling decision support systems that reveal business intelligence.

The large amount of data in data warehouses comes from different places such as internal applications such as marketing, sales, and finance; customer-facing apps; and external partner systems, among others.

Some Benefits of A Data Cloud

  • Better data — Adding data sources to a data warehouse enables organizations to ensure that they are collecting consistent and relevant data from that source. They don’t need to wonder whether the data will be accessible or inconsistent as it comes in to the system. This ensures higher data quality and data integrity for sound decision-making.
  • Faster decisions — Data in a warehouse is in such consistent formats that it is ready to be analyzed. It also provides the analytical power and a more complete dataset to base decisions on hard facts. Therefore, decision-makers no longer need to reply on hunches, incomplete data, or poor quality data and risk delivering slow and inaccurate results.

Some Benefits of A Data Cloud

  • Better data — Adding data sources to a data warehouse enables organizations to ensure that they are collecting consistent and relevant data from that source. They don’t need to wonder whether the data will be accessible or inconsistent as it comes in to the system. This ensures higher data quality and data integrity for sound decision-making.
  • Faster decisions — Data in a warehouse is in such consistent formats that it is ready to be analyzed. It also provides the analytical power and a more complete dataset to base decisions on hard facts. Therefore, decision-makers no longer need to reply on hunches, incomplete data, or poor quality data and risk delivering slow and inaccurate results.

Build Data-Intensive Applications
with Snowflake's Data Cloud

Resemble Systems a value added business partner of Snowflake, serving customers with license subscriptions, implementation and support organizations to gain complete view of their business and customers for deeper and more revealing insights. Snowflake customers have achieved significant benefits through optimizing cost of service and achieved more of a competitive advantage in terms of growth.

Our Snowflake data warehouse services is a leading cloud data platform designed to handle all the aspects related to analytics and data. Snowflake data platform solution enables organizations to explore the immense power of data cloud platform and have seamless access to explore, share and unlock the power of data. Snowflake’s fast and reliable cloud data platform helps you to adopt to the fluctuating changes in today’s organization need’s and tomorrow’s data demands.

Key Features

  • Performance and speed
  • Storage and support for structured and semi-structured data
  • Cost effective cloud data platform
  • Concurrency and accessibility
  • Seamless data sharing
  • Availability and security

Some Benefits of A Data Cloud

  • Better data — Adding data sources to a data warehouse enables organizations to ensure that they are collecting consistent and relevant data from that source. They don’t need to wonder whether the data will be accessible or inconsistent as it comes in to the system. This ensures higher data quality and data integrity for sound decision-making.
  • Faster decisions — Data in a warehouse is in such consistent formats that it is ready to be analyzed. It also provides the analytical power and a more complete dataset to base decisions on hard facts. Therefore, decision-makers no longer need to reply on hunches, incomplete data, or poor quality data and risk delivering slow and inaccurate results.

Future of the Data Cloud

As businesses make the move to the cloud, so too do their databases and data warehousing tools. The cloud offers many advantages: flexibility, collaboration, and accessibility from anywhere, to name a few. Popular tools like Amazon Redshift, Microsoft Azure SQL Data Warehouse, Snowflake, Google BigQuery, and have all offered businesses simple ways to warehouse and analyze their cloud data.

The cloud model lowers the barriers to entry — especially cost, complexity, and lengthy time-to-value — that have traditionally limited the adoption and successful use of data warehousing technology. It permits an organization to scale up or scale down — to turn on or turn off — data warehouse capacity as needed. Plus, it’s fast and easy to get started with a cloud data warehouse. 

The cloud data warehouse architecture largely eliminates the risks endemic to the on-premises data warehouse paradigm. You don’t have to budget for and procure hardware and software. You don’t have to set aside a budget line item for annual maintenance and support. In the cloud, the cost considerations that have traditionally preoccupied data warehouse teams — budgeting for planned and unplanned system upgrades — go away.

Organizations can get more from their analytics efforts by moving beyond simple databases and into the world of data warehousing. Finding the right warehousing solution to fit business needs can make a world of difference in how effectively a company serves its customers and grows its operations.

Future of the Data Cloud

As businesses make the move to the cloud, so too do their databases and data warehousing tools. The cloud offers many advantages: flexibility, collaboration, and accessibility from anywhere, to name a few. Popular tools like Amazon Redshift, Microsoft Azure SQL Data Warehouse, Snowflake, Google BigQuery, and have all offered businesses simple ways to warehouse and analyze their cloud data.

The cloud model lowers the barriers to entry — especially cost, complexity, and lengthy time-to-value — that have traditionally limited the adoption and successful use of data warehousing technology. It permits an organization to scale up or scale down — to turn on or turn off — data warehouse capacity as needed. Plus, it’s fast and easy to get started with a cloud data warehouse. 

The cloud data warehouse architecture largely eliminates the risks endemic to the on-premises data warehouse paradigm. You don’t have to budget for and procure hardware and software. You don’t have to set aside a budget line item for annual maintenance and support. In the cloud, the cost considerations that have traditionally preoccupied data warehouse teams — budgeting for planned and unplanned system upgrades — go away.

Organizations can get more from their analytics efforts by moving beyond simple databases and into the world of data warehousing. Finding the right warehousing solution to fit business needs can make a world of difference in how effectively a company serves its customers and grows its operations.

Future of the Data Cloud

The cloud data warehouse architecture largely eliminates the risks endemic to the on-premises data warehouse paradigm. You don’t have to budget for and procure hardware and software. You don’t have to set aside a budget line item for annual maintenance and support. In the cloud, the cost considerations that have traditionally preoccupied data warehouse teams — budgeting for planned and unplanned system upgrades — go away.

Organizations can get more from their analytics efforts by moving beyond simple databases and into the world of data warehousing. Finding the right warehousing solution to fit business needs can make a world of difference in how effectively a company serves its customers and grows its operations.

As businesses make the move to the cloud, so too do their databases and data warehousing tools. The cloud offers many advantages: flexibility, collaboration, and accessibility from anywhere, to name a few. Popular tools like Amazon Redshift, Microsoft Azure SQL Data Warehouse, Snowflake, Google BigQuery, and have all offered businesses simple ways to warehouse and analyze their cloud data.

The cloud model lowers the barriers to entry — especially cost, complexity, and lengthy time-to-value — that have traditionally limited the adoption and successful use of data warehousing technology. It permits an organization to scale up or scale down — to turn on or turn off — data warehouse capacity as needed. Plus, it’s fast and easy to get started with a cloud data warehouse. 

Q&A

How it Works

A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data.

We are always
ready to serve you..!
Request a call back

    Q&A

    How it Works

    A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data.

    We are always
    ready to serve you..!
    Request a call back

      Q&A

      How it Works

      A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data.

      We are always
      ready to serve you..!
      Request a call back