A data lakehouse, in the simplest terms, combines the best functionalities of a data lake and a data warehouse. It offers a unified platform for seamlessly integrating both structured and unstructured data, providing businesses agility, scalability, and flexibility in their data analytics processes. Unlike traditional data warehouses that rely on rigid schemas for organizing and […]
Future-Proof Your Cyber Risk Management with These Top Trends in 2024 (Part II)
As shared in part one of this installment, the global marketplace faces an increasingly destructive cyber risk landscape each year, and 2024 is set to confirm this trend. The cost of data breaches alone is expected to reach $5 trillion, a growth of 11% from 2023. As technology advances, attackers continue to develop new, more sophisticated methods […]
Four New Apache Cassandra 5.0 Features to Be Excited About
With the recent beta release of Apache Cassandra 5.0, now is a great time for teams to give it a spin and discover 5.0’s most interesting and anticipated new capabilities. As I’ve poked around with the new beta, here are four features introduced with open-source Cassandra 5.0 that developer teams should be excited about: 1. Vector […]
Sustainable Data Management: Trends and Benefits
The rapid growth of digital data has led to a significant environmental impact that cannot be overlooked. Understanding the need for a greener digital landscape and sustainable data management is crucial to mitigate this impact and ensure an eco-friendly future. Data management, including storage, processing, and transmission, requires vast amounts of energy. Additionally, the manufacturing […]
In-Memory Databases: 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 […]
Keeping Cloud Data Costs in Check
Cloud data workloads are like coffee: They come in many forms and flavors, each with different price points. Just as your daily cappuccino habit will end up costing you dozens of times per month what you’d spend to brew Folgers every morning at home, the way you configure cloud-based data resources and run queries against […]
Answers for the IT Skills Gap
Consider these statistics: 75% of IT decision-makers have reported gaps in the skill sets of their IT staff – and this is a 145% increase over the past seven years, reported Skillsoft. Six in 10 large enterprises reported a skills gap, according to the Computing Technology Industry Association (CompTIA). Globally, the shortage of qualified IT professionals was […]
The AI Trust Gap: A Psychological Perspective
Only 52% of employees are confident their organization will ensure AI is implemented in a responsible and trustworthy way, according to Workday’s Closing the AI Trust Gap report. Trust will be key to getting employees engaged in the change needed to realize AI’s full potential. In my last post I looked at what can be done from a cultural perspective. In this […]
Data Integration Tools
Data integration tools are used to collect data from external (and internal) sources, and to reformat, cleanse, and organize the collected data. The ultimate goal of data integration tools is to combine data from a variety of different sources, and provide their users with a single, standardized flow of data. Use of these tools helps […]
Going Green: 3 Actionable Steps to Implement Sustainable Cloud Computing
Research has shown that information and communication technology’s true proportion of global greenhouse gas emissions, including cloud computing, could be around 2.1-3.9%, which equates to higher emissions than the aviation industry. And as businesses increasingly rely on the cloud, minimizing this impact becomes critical. While most major cloud providers are talking about going green– AWS and […]