The business of Data Management embraced new complexities when diverse types of data started flowing in—in huge volumes through multiple data channels and in real time. Analysis of very high-speed, high volume, multi-type business data necessitated the growth and development of advanced Data Management technologies and tools, and cloud computing technologies were born out of […]
Fundamentals of Data Virtualization
An innovative data technology called “data virtualization” (DV) is employed to tackle high volumes data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems to […]
Industry 4.0: Make Data-Driven Decisions Immediately
What if a cyber-physical world — fueled by data — shortened production and manufacturing decisions to the time it takes to adjust a thermostat’s temperature? This just begins to describe Industry 4.0. According to a recent McKinsey article, Industry 4.0 “expects to deliver between $1.2 and $3.7 trillion in value.” Meanwhile, according to Riasat Noor, […]
Serverless Computing and Serverless Architecture: An Overview of BaaS, FaaS, and PaaS
The term serverless computing immediately indicates an IT infrastructure where the business owner does not have to invest in a specialized or expensive hardware platform. The essence of serverless architecture and serverless computing lies in the provisioning of third-party services, which are also referred to as backend-as-a-service (BaaS) and a special code made available through […]
Fundamentals of the Data Lakehouse
During the last few years, a new concept in Data Architecture has emerged. It is called the “data lakehouse.” The data lakehouse offers a new paradigm that takes the best characteristics of data warehouses (small amounts of coordinated data) and data lakes (massive amounts of uncoordinated data), and merges them, providing improved controls and tools. […]
Methods for Saving and Integrating Legacy Data
New digital technologies are designed for mobile devices, the cloud, and in-house databases. They offer a wide variety of opportunities for business today. Unfortunately, they are often completely incompatible with older, legacy database systems, and this incompatibility can make an organization slow and plodding, comparatively speaking, rather than efficient and useful. While new technologies can […]
Blockchain Uses Multiply with New Database Innovations
Blockchain is still considered new technology, best known for supporting cryptocurrencies such as Bitcoin and Ether. But blockchain can provide security for a variety of purposes, ranging from privacy controls on medical records to preventing vote tampering. Ultimately, blockchain is a secure, encrypted database of agreements. Blockchain serves as a bookkeeping/contract platform which is incorruptible […]
In-Memory Database Architecture: An Overview
In-memory databases work faster than databases with disk storage. This is because they use “internal” optimization algorithms, which are simpler and faster, and this type of system requires fewer CPU instructions than a disk storage system. Additionally, accessing data that has been stored “in-memory” eliminates the need for seek time while searching for data. As […]
The Logical Data Fabric: A Single Place for Data Integration
The ability to provide a single place for instantaneous data access can mean business continuity or closure. Many nations found this out during the recent global crisis, as countries needed to know the number of tests taken and the infection rate in order to determine both the virus’ spread and who to quarantine. Unfortunately, the […]
Kubernetes Fundamentals: Facilitating Cloud Deployment and Container Simplicity
Kubernetes (sometimes abbreviated to “kube”) is open-sourced, was originally developed by Google, and organizes containers into logical units for transport and use in the cloud. Containers support the construction of self-contained environments capable of transporting data, and the software supporting it. Containers are, ultimately, a way to package software and other application components. It is […]