A data warehouse (DWH) aggregates data from many sources into a central location for better usability. This is beneficial for large organizations aiming to analyze their historical business records and make better decisions. This guide describes data warehousing, explains the main design concepts, and...
Explore how IBM Research is regularly integrated into new features for IBM Cloud Pak® for Data. Explore articles ReportGartner® predicts 2024: How AI will impact analytics users Gain unique insights into the evolving landscape of ABI solutions, highlighting key findings, assumptions and recommenda...
An important purpose of a data lakehouse is to make it easier for machine learning engineers (MLEs) to use the same large data sets for different types of artificial intelligence (AI) workloads. A data lakehouse architecture has five layers: Ingestion layer – pullsstructuredandunstructured datafr...
Discover data lakes Data warehouse (the “house” in lakehouse): A data warehouse is a different kind of storage repository from a data lake in that adata warehouse stores processed and structured data, curated for a specific purpose, and stored in a specified format. This data is typically ...
Issues with data availability can result in similar repercussions for businesses. When a company maintains round-the-clock availability, it guarantees continued access to its business-related data for the organization, partners, or customers at any time. However, when data is inaccessible to customers...
What Is Data Archiving? Data archiving isthe process of identifying inactive data and moving it to a secure, long-term storage location, separate from active production data. This way, data can be easily accessed when neededwithout impacting system performance, cluttering active storage, or comprom...
Data preparation is the act of cleaning and consolidating raw data prior to using it for business analysis. Learn why data prep is critical and how it works.
Economic progress is another angle to contemplate. By propelling corporates to house their data domestically, governmental bodies generate a demand spike for national data facilities and cloud provisions, leading to employment surge and economic upliftment. Moreover, the negative economic impact of data...
Make your data accessible to critical applications, business intelligence systems and web-enabled front ends at a fraction of the time and cost of conventional in-house development. Maintain security Keep sensitive data safe with secure access. Manage multiple database logins and secure access to ...
The data are then stored and managed, either on in-house servers or in acloudservice. Business analysts, management teams, and information technology professionals access and organize the data. Application software sorts the data. The end-user presents the data in an easy-to-share format, such...