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Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft

The list of top five fully-fledged solutions in alphabetical order is as follows : Amazon Web Service (AWS) IoT platform , Cisco IoT , Google Cloud IoT , IBM Watson IoT platform , and. AWS IoT Platform: the best place to build smart cities. AWS IoT infrastructure. Source: AWS. AWS IoT Core.

IoT 141
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The rise of the data lakehouse: A new era of data value

CIO

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). The lakehouse as best practice.

Data 210
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Pentaho 5.3 Continues To Deliver On Big Data Analytics With Scale Including AWS Redshift and Impala

CTOvision

“As enterprise IT architectures are becoming more open and flexible to accommodate new tools, data types and data volumes, Cloudera Impala has seen rapid adoption among organizations of all sizes, including over one million open source downloads and hundreds of Cloudera customers,” said Tim Stevens, VP business and corporate development, Cloudera.

Big Data 109
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Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO

Jon Pruitt, director of IT at Hartsfield-Jackson Atlanta International Airport, and his team crafted a visual business intelligence dashboard for a top executive in its Emergency Response Team to provide key metrics at a glance, including weather status, terminal occupancy, concessions operations, and parking capacity.

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Climate tech opportunities for IT pros

CIO

The tech professionals most in demand The most in-demand technical skills in the climate and greentech sector revolve around cloud computing, data analytics, IoT, and cybersecurity each playing a critical role in driving sustainable innovation, Breckenridge explains.

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How companies are building sustainable AI and ML initiatives

O'Reilly Media - Ideas

In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? We found that users of AWS, Microsoft Azure, and Google Cloud Platform (GCP) tended to use multiple cloud providers.

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Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

Business Intelligence and Reporting When to Use: When you need to generate dashboards and reports for business insights based on large datasets. Multi-Cloud and Hybrid Data Needs When to Use: If you need to manage and analyze data across different environments (e.g., on-premises, AWS, Google Cloud).

Azure 91