Data warehouses
– Snowflake, BigQuery,
Microsoft SQL, PostgreSQL
See how data warehouses will help you manage large data sets and reduce information chaos in medium and large companies.
Streamline advanced analysis and report generation.
We will help you choose the right solution for you!
We will help you choose the right solution for you!
Learn more >
Data warehouse – what is it?
It is a database that is optimized to process data and perform calculations and that is periodically fed with data from the company’s various source systems.
Thanks to ETL processes (data extraction, transformation and loading) we get structured, cleaned, deduplicated, complete and ready for analysis data.
Data warehouses provide support for analytical activities in the enterprise.
They store data and provide efficient query handling, offering access to data to specific users according to their privileges. They collect both current and historical information and enable its conversion into readable reports. Data warehouses are also used to look for trends, patterns and connections between information.
They store data and provide efficient query handling, offering access to data to specific users according to their privileges. They collect both current and historical information and enable its conversion into readable reports. Data warehouses are also used to look for trends, patterns and connections between information.
Data Warehouse Implementations
Thanks to many years of experience and numerous implementations we offer services such as:Consulting on Data Warehouse Technology Selection
Together, we will define the scope and business objectives of your future on-premises or public cloud data warehouse architecture.Data Warehouse Design
We will design your data warehouse to take into account:– the planned scope and purpose of the data warehouse,
– the sources and characteristics of your existing data,
– the required data transformations and other data processing operations,
– the data refresh frequency.
Data Warehouse Implementation
Data warehouse implementation includes building ETL processes, verifying technical and business accuracy, and optimizing the data warehouse to meet performance and business requirements.Reporting Tools Consulting
Gain access to leading technologies for creating reports with advanced data visualizations. We offer technology recommendations, testing, and proof-of-concept workshops to help you select the optimal reporting tools for your end users.Data Warehouse Support & Maintenance
What will you gain? The ability to efficiently manage vast amounts of data. A secure, high-performance, and reliable source of information for business analytics across your organization. Faster delivery of detailed analyses. Advanced in-database analytics. Enhanced data sharing capabilities for end users. Reduced load on operational data sources by offloading analytical workloads—tasks they are typically not designed to handle efficiently.The data warehouses
we can offer you are:
Snowflake – a data warehouse in the cloud
To analyze large amounts of data in real time, it is worth using Snowflake. It’s a modern, analytical cloud database that you can easily customize to fit your business needs. Snowflake provides an intelligent and scalable tool for handling data coming from various sources. What distinguishes Snowflake is the lack of limits on the amount of processed data and the number of users who use the system simultaneously. Snowflake integrates perfectly in LIVE mode with such visualization tools as Tableau or Power BI.
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Google BigQuery – advanced data analysis in SQL
An alternative to Snowflake is Google BigQuery, which gives the ability to process data from a variety of sources without the need for specialized scripts and high costs. BigQuery runs in the cloud, on the secure and stable Google Cloud Platform. It is an extremely fast tool, used to perform instant and advanced analysis. BigQuery’s cost model is based on charging for queries executed. So it’s flexible, and the fees depend on the needs of the individual company. BigQuery is a virtually maintenance-free tool that allows you to store huge data sets and handle queries efficiently.
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Microsoft SQL Server – relational database management system
A Microsoft solution, MS SQL Server, can also be used to store, retrieve and process data. It is a client-server type database platform ensuring security of operations. Within MS SQL Server environment it is possible to use – apart from the basic database engine – also additional components: analytical (Analysis Services), ETL (Integration Services) and reporting (Reporting Services). Microsoft SQLServer enables powerful reporting and data analysis in a scalable environment. MS SQL Server is available in several versions, including Express, Standard, Enterprise, Web and Business Intelligence. The different variants differ in their functionality. Depending on the needs of a given company, it is possible to install selected components from the MS SQL Server environment.
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PostgreSQL object-relational database
PostgreSQL is a combination of a relational database and an object-oriented database and provides the ability to perform express searches on data based on a structured query language. PostgreSQL combines the advantages of both database models. The tool is available in an open source model and thus allows for no-cost use as a database platform. It is a reliable and functional solution, available on all systems like Linux and Windows.
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Data Warehouse Architecture
and Solution Functionality
With the help of ETL (Extract, Transform and Load) solutions, dispersed data from various sources is transferred to a data warehouse where it is processed and integrated in such a way as to make it easier to use in further stages. When in the central data warehouse we have to deal with large amount and complexity of data, additional thematic warehouses (data marts) are often built, containing data which describe narrow areas of company functioning.
Data warehouses
– the benefits of having them
For an entrepreneur, a data warehouse can become a source of valuable business information.
Stored in a structured way and divided into thematic sets, the data is ready for analysis. Data warehouses improve access to information and reporting, thereby increasing employee productivity. They also provide invaluable assistance in making important business decisions. They allow to predict the effects of the actions taken and compare the current state with the past state. Data warehouses are useful in capturing dynamic changes. They are worth implementing especially in large companies, where the amount of collected data is very large.
If you want to learn more about data warehousing and the solutions available on the market, contact NewDataLabS. We will support you in choosing the best system for your company and provide assistance in its implementation.
If you want to learn more about data warehousing and the solutions available on the market, contact NewDataLabS. We will support you in choosing the best system for your company and provide assistance in its implementation.
