Data
Generative AI and pain points
The power of Generative AI to ease the pain of drudgery And that’s exactly the promise Generative AI holds — it can offer ways to take the drudgery out of many everyday experiences, enabling and
Category: Data
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AWS Technology
AWS Data Lake Basics
Data Lake Data Lake can be implemented in AWS using S3, which is a highly scalable, durable, and secure object storage service. Data is stored in S3 as objects, which can be any type of data,
Data
Data Strategy and Master Data Management
Data Strategy or setting up an enterprise strategy to manage Data and extract benefits from Data is difficult and a never-ending process. One aspect is the ‘master data management’ endeavour that is a
Cloud Models
Snowflake Cloud Data Warehouse – an overview
Snowflake, a quick overview, from their documentation and some project usage experience. Snowflake is a columnar data warehouse and data integration platform SaaS hosted on AWS, GCP, or Azure. Snowflake Use Cases include: Session Data,
Data
Database Backup Simple Overview
There are many alternatives to backing up a database. A summary is given below. Database Backup Solutions Database backup solutions are two kinds: Database Backup Native Solutions Database Backup 3rd Party Solutions But there is
Cloud Design Goals
Data and Disk backup using RAID 0 and RAID 1
Redundant Array of Independent Disks (RAID) is a technology for storage units that offers a balanced flow and plenty of benefits, such as better fault tolerance, enhanced reliability, and high performance. It combines two or
Data
3-2-1-1 and Backing up Critical Data
What Is the 3-2-1 Backup Rule? The 3-2-1 backup rule refers to a tried-and-tested approach to data retention and storage: Keep at least three (3) copies of data. Store two (2) backup copies on different
Application Transformation
Big Data. Benefits. Challenges.
Most Big Data projects fail. There are many reasons for this, usually around the business reason for the project, and data quality (along with a lack of skills). A key part of ‘Cloud Transformation’ is
Application Transformation
J.P. Morgan: Digital, Data Transformation and the Data Mesh
Monolithic applications may need to be decomposed in service-oriented components, to run and scale in lightweight containers. Similarly, monolithic Data architectures may need to be rebuilt into service-oriented Data flows and processes. This can transform