Modern Data Warehouse and Big Data
A IDC study revealed than 103 zettabytes of data will be created by 2023 - about 1.03x 10^14 gigabytes (1.03x100,000,000,000,000 GB). However, turning data into insights will be a enormous challenge.
That is why Modern Data Warehouse and Big Data solutions are excellent alternatives for companies that want to gain insights and explore opportunities.
Big Data and Modern Data Warehouse
Big Data are new data types (structured, semi-structured and unstructured) and features (volume, speed and variety).
As with Big Data, Modern Data Warehouse proposes a new way of working with data, such as new Extract, Load and Transform (ELT) techniques and the creation of Data Lakes to host the immense volumes of data.
In addition, Modern Data Warehouse and Big Data are linked to other innovations that have revolutionized the way companies deal with data, such as Cloud Computing.
Taking into account the growing scenario of data volumes and their use, these two solutions are the ones that best meet the business needs. After all, they are more robust and can be easily adapted to the companies' demands. In addition, these innovative technologies can bring other benefit, such as:
A centralized location to store the company's data (Data Lake).
Use of the generated data, not just databases.
Platforms to support Artificial Intelligence and Machine Learning processes.
Cost-efficient cloud platforms (different from the old-fashioned data warehouses).
Counting on teams with solid knowledge in Big Data and experience in on-premise, cloud and Hadoop implementations, we use the best practices to build Big Data solutions and Modern Data Warehouses designed for our customers. We are experts in Lambda and Kappa architectures, building solutions and migrating data to the most modern environments. We also implement solutions to support data science teams, leading to superior results and accelerated generation of value, always focusing on the business demands.