Change is one of the few constants in modern business. Technologies, regulations, products, and attitudes are forever shifting over time—it’s up to successful enterprises to shift with them or face getting left behind. Not long ago, data reporting was expensive, time-consuming, difficult, and sometimes impossible. Today, our data tools and solutions come with little costs and lots of insights. Data warehousing is the solution we didn’t know we needed.
Data warehouse solutions provide a clean way to integrate vast amounts of data from various sources into one single repository. Data warehousing has had a transformational effect on businesses, bringing many up to date with the latest tools and technologies.
Being capable of connecting multiple analysis, mining, and reporting tools to a single data model has been a revolution in the way we think about information. It has made real-time analytics a realistic possibility for a huge number of organizations. Modern data interrogation methods have been so effective they have created entirely new industries of their own.
Business intelligence was built from the new possibilities that data warehousing solutions made available. Today, the data warehouse is at the core of business decision-making and data gathering solutions.
The data warehouse itself is made up of three layers:
Database server—where data is loaded and stored
Analytics engine—accesses and analyses data to create actionable intelligence
Front-end client—presents results through reporting and analysis tools
These layers combine to form a powerful solution that empowers your business to achieve more.
For a modern firm, the data warehouse is an indispensable way to gather information, perform analysis, and use intelligence. Before the data warehouse became commonplace, information locked away in data silos was a common problem for many businesses.
The data warehouse enables better decision-making through easy access and analysis of data streams throughout the organization. Users no longer need to be expert technicians or data scientists to gain powerful insights from organizational data. Data mining, analysis, and reporting tools enable everyone to look at the same data and deliver meaningful intelligence.
As a result of data warehousing solutions, companies can trust and rely on the data they get from several different areas. For some organizations, switching to high-quality, consistent, and accurate data has transformed the way they do business practically overnight. Many had not been able to access such information in the past and can only now take action with a complete picture of their organization available.
With greater storage and insights, large firms with a rich history can look back over their historical data and gain new insight they never before had access to. Added to real-time information, historical data can be a valuable source of insight when making decisions about the future of the organization.
It is no exaggeration to say that the rise of data warehouse solutions has had a transformational effect on organizations. The discovery of meaningful relationships in seemingly disparate data has enabled many firms to do more with fewer resources.
Trianz data warehouse consulting services are an industry-leading service provider that has helped to transform and future-proof hundreds of businesses over decades of experience.
Our expertise is known for creating a view of organizational and operational data that businesses can capitalize on in an instant. We are known for building value in data and extracting the maximum from existing business resources.
Get in touch with our data warehouse consulting team today to take your business into the future with all the right tools.
Contact Us Today
Finding Hidden Patterns and Correlations Innovative technologies such as artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) are transforming the way we approach data analytics. AI, ML and NLP are categorized under the umbrella term of “cognitive analytics,” which is an approach that leverages human-like computer intelligence to identify hidden patterns and correlations in data.Explore
What Is an SQL Query Engine? SQL query engine architecture was designed to allow users to query a variety of data sources within a single query. While early SQL-based query engines such as Apache Hive allowed analysts to cut through the clutter of analytical data, they found running SQL analytics on multi-petabyte data warehouses to be a time-intensive process that was difficult to visualize and hard to scale.Explore
The Cloud is the Key to Transformation Success… Transitioning your applications to the cloud is undeniably a critical factor to a successful digital transformation endeavor. It’s more than just a lift-and-shift, however. Let’s explore several things that you need to consider before migrating your applications to the cloud, including: Readiness of your application portfolio Where to begin – the right business case and migration strategy Technology requirements and considerationsExplore
Application Modernization at Speed and Scale Enterprises are pursuing greater application scalability, cost efficiency, and standardization with containerization and virtualization platforms. So, what’s the difference? Containers are a type of virtualization technology that allows users to run multiple operating systems inside a single instance of an OS. They are lightweight and portable, making them ideal for running applications across different platforms.Explore
Container Orchestration or Compute Service? Amazon Web Services (AWS) offers a range of cloud computing services to meet enterprise needs. Included in its service offering is the elastic compute service (ECS) and elastic compute cloud (EC2). Choosing between these two services can be difficult, as one focuses on virtualization while the other manages containerization. In the following article, we will explore the differences between Amazon ECS and EC2 to help you better understand which service is right for your use case.Explore