insights cloud-data-analytics cloud-elasticity-vs-cloud-scalability 
Kaseya
MAY 13, 2021
Fueled by the shift to remote and hybrid work environments and the need to digitally transform business during the global pandemic, the adoption of cloud computing has reached an all-time high. Needless to say, cloud services are in high demand today. But, what exactly is a cloud service provider? What Is a Public Cloud?
Existek
JANUARY 11, 2022
Why is cloud computing better than traditional on-premise environments? How to select the right cloud service provider? We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. It’ll be interesting to discover how market-leading providers set new standards and alter approaches to cloud computing.
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AWS Machine Learning - AI
JANUARY 26, 2024
The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.
Cloudera
DECEMBER 10, 2020
Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If so, you know about the failed economics of some cloud-native solutions on the market today. Data warehouses have been broadly adopted to provide timely reports and valuable insights.
Altexsoft
AUGUST 29, 2023
In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?
Infinidat
MAY 22, 2019
I will walk you through my thought process by listing the insights, market and technology trends, and end-user buying behaviors that led to my decision to join Infinidat. . Ease-of-use, support effectiveness, ecosystem size, cloud integration, scalability, and financials will increasingly dictate future infrastructure refresh decisions.
Abhishek Tiwari
JULY 12, 2018
Building data pipelines can offer strategic advantages to the business. It can be used to power new analytics, insight, and product features. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects.
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