Ways To Visualize Your Data
There are many different types of data visualization examples, ranging from the simple to the complex, explaining their unique features as well as how and when to use them to help you get the results you want.
Data Warehousing
DATA Warehousing
Your data needs a place to be secured, organized and ready for instant analysis. You could have the most powerful visualization and data analysis tools in the world, but without the right data warehouse, you wouldn’t get much value from your data. Your data is special, and needs a warehouse fitting of its characteristics. Kobaltek's data experts are masters of data warehouse architecture, and have built distinct data warehouses for clients big and small.
Data Warehouse Design & Deployment
Considerations need to be taken when designing a data warehouse for enterprise use. Each enterprise brings its own set of data, with unique
problems and potential challenges. That’s why having a data warehouse tailored to your data is so important. With Kobaltek we
know what works and what doesn’t when it comes data warehouse architecture. We can build you the ideal data warehouse for your needs.
We will also walk you through every step of deployment, ensuring our solutions do what they were designed to do: improve your operations with data.
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Schema Design & Modeling
Setting the framework of warehouse design is only part of a complete data warehouse solution. You still need an efficient way to arrange your database objects. Our data experts can help create the appropriate schemas you require to effectively handle your query load in a highly methodical manner
Data Warehouse Concepts
What is a Data Warehouse?
A data warehouse is a central repository of information that can be analyzed to make better informed decisions. Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence. Business analysts, data scientists, and decision makers access the data through business intelligence (BI) tools, SQL clients, and other analytics applications. Data and analytics have become indispensable to businesses to stay competitive. Businesses use reports, dashboards, and analytics tools to extract insights from their data, monitor business performance, and support decision making. These reports, dashboards and analytics tools are powered by data warehouses, which store data efficiently to minimize I/O and deliver query results at blazing speeds to hundreds and thousands of users concurrently.
Data Warehouse Architecture
A data warehouse architecture consists of three tiers. The bottom tier of the architecture is the database server, where data is loaded and stored. The middle tier consists of the analytics engine that is used to access and analyze the data. The top tier is the front-end client that presents results through reporting, analysis, and data mining tools.
How Does a Data Warehouse Work?
A data warehouse works by organizing data into a schema that describes the layout and type of data, such as integer, data field, or string. When data is ingested, it is stored in various tables described by the schema. Query tools use the schema to determine which data tables to access and analyze.
Data Warehouse Benefits
➤ Better decision making ➤ Consolidates data from many sources ➤ Data quality, consistency, and accuracy ➤ Historical intelligence ➤ Separates analytics processing from transactional databases, improving performance of both systemsLatest News
