Remove 2023 Remove Cloud Computing Remove Data Lakes
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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

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Mainframe Technology Trends for 2023

Precisely

Yet mainframes weren’t designed to integrate easily with modern distributed computing platforms. Cloud computing, object-oriented programming, open source software, and microservices came about long after mainframes had established themselves as a mature and highly dependable platform for business applications.

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Approaches to migrating your VMware workloads to AWS   

IBM Journey to AI blog

In November 2023, Broadcom finalized its acquisition (link resides outside ibm.com) of VMware for USD 69 billion, with an aim to enhance its multicloud strategy. Further to the acquisition, Broadcom decided to discontinue (link resides outside ibm.com) its AWS authorization to resell VMware Cloud on AWS as of 30 April 2024.

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What Can AI Teach Us About Data Centers? Part 1: Overview and Technical Considerations

ODSC - Open Data Science

Hybrid data centers: This refers to a combination of different data center solutions such as using a mix of on-premises, co-location, and cloud-based data centers to meet specific needs. Alternatives to using a data center: 1. They are typically used by organizations to store and manage their own data.

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Mainframe Technology Trends for 2024

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In fact, in a 2023 BMC survey , 92% of respondents said they see the mainframe as a platform for long-term growth and new workloads. Mainframes make up some of the most formidable computing power in the world , delivering security, scalability, and reliability that make these systems ideal for intensive mission-critical workloads.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

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Discover the Snowflake Architecture With All its Pros and Cons- NIX United

Mlearning.ai

Thus, the solution allows for scaling data workloads independently from one another and seamlessly handling data warehousing, data lakes , data sharing, and engineering. Therefore, you’ll be empowered to truncate and reprocess data if bugs are detected and provide an excellent raw data source for data scientists.