Tender Details

Country: Poland
Summary: Big Data Training Service
PLT Ref No: 96265421
Deadline: 14 Feb 2024
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.: 2024/BZP 00089096/01
Purchaser's Detail:
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Description:
Brief description of the subject of the order: 1. Description of the subject of the order: 1.1. The subject of the order is the provision by the Contractor of training services in the field of Big Data to employees of the Office of the Polish Financial Supervision Authority, in accordance with the needs of the Ordering Party described in detail in the description of the subject of the order.constituting Annex No. 1 to the Agreement. The Ordering Party expects to provide services on business days, in accordance with demand, 1.2. The expected total number of people throughout the duration of the contract should not exceed 120 people., Big Data: - Big Data - training in data feeding using NiFi, lasting 3 daystraining, , 2 groups of up to 12 people each;, - Big Data - training in Apache Spark using Python (PySpark), lasting 4 training days, 2 groups of up to 12 people each;, - Big Data training in the overview of Big Data technologies ( functions and applications), lasting 3 training days, 4 groups of up to 12 people each, - Big Data - Apache Hive and Impala, training lasting 3 training days, 2 groups of up to 12 people each., All the above training will be carried out using an online platform intended for distance learning, without the need to install additional software on the participants' computers...
Documents:

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Big Data Training Service - Poland Tender

The OFFICE OF THE POLISH FINANCIAL SUPERVISION AUTHORITY, a Government sector organization in Poland, has announced a new tender for Big Data Training Service. This tender is published on PolandTenders under PLT Ref No: 96265421 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2024-02-14.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.