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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

As the cost of data storage has fallen, many organizations are keeping unnecessary data, or cleaning up data that’s out of date or no longer useful after a migration or reorganization. This ITSM, ITIL style of discipline and portfolio management is going to come back because you definitely need that level of discipline for this new workload.”

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An Intelligent Future for Manufacturing

CIO

In the automotive sector for example, the advent of autonomous vehicles has resulted in burgeoning demand for computing power, cloud storage and network bandwidth. To support such rapid growth, the company needed the right capabilities for its R&D network and production systems.

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4 paths to sustainable AI

CIO

Use more efficient processes and architectures Boris Gamazaychikov, senior manager of emissions reduction at SaaS provider Salesforce, recommends using specialized AI models to reduce the power needed to train them. “Is AWS also has models to reduce data processing and storage, and tools to “right size” infrastructure for AI application.

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What is Cloud Computing? Everything You Need to Know – Architecture, Benefits & Much More

Openxcell

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection. Public cloud.

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Fundamentals of Data Engineering

Xebia

The data engineer is also expected to create agile data architectures that evolve as new trends emerge. Building architectures that optimize performance and cost at a high level is no longer enough. The best data engineers view their responsibilities through business and technical lenses.

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Docker tutorial for beginners

InnovationM

Docker architecture Docker uses a client-server architecture. Where the client component communicates with the server component using a quiet API, over UNIX sockets or a network interface. For example, Linux containers run on a Linux operating system, Windows containers run on a Windows operating system, and so on.

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History of IBM DB2

The Crazy Programmer

DB2 was originally exclusively available on IBM mainframes, but by the 1990s, it had migrated to a variety of other platforms, including LUW (Linux, Unix, Windows), i5/OS, and even PDAs. It shared-nothing architecture, which distributes a database across many, networked Db2 servers for scalability. DB2 Product Package Tools.