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Let`s build a Data Warehouse with PIM functions

We want to summarize all the data that our suppliers provide us within one place so that we can process them (prices, product availability, product information, digital assets). 

Data comes from different sources (FTP, URL), let's collect it and combine it in a master table. 

Files are usually XML or CSV. Files can also be compressed (ZIP) in individual cases. Access to the files is usually password-protected. 

The mapping is specified by us. Does not have to adapt or be editable by the user. Only basic function, no luxury (maybe in a second version). 

The data must be retrieved regularly (usually every hour or every day). 

The data serve as the basis for the (automated) preparation of offers for our e-commerce project. In addition to basic PIM functions, we also want to implement automated price calculation (both full cost accounting and rule-based sales price calculation). 

We have the vision. Not the solution. Be our expert. Which solution is suitable and does not cause high monthly costs? 

In-house development or use of open source (Akeneo, Pimcore)? We don't mind if it looks and works like Crystallize ([login to view URL]). Simply more automated.

Kemahiran: Penggudangan Data, Node.js, Pemprosesan Data, Data Cleansing, Data Delivery, Data Extraction, Perlombongan Data, Data Scraping, Pembangunan Pangkalan Data, Pengaturcaraan Pangkalan Data, Excel

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Tentang Majikan:
( 4 ulasan ) Adliswil, Switzerland

ID Projek: #27942365

Dianugerahkan kepada:

(2 Ulasan)

24 pekerja bebas membida secara purata $2402 untuk pekerjaan ini


Hi, Greetings! ✅checked your project details: build a Data Warehouse with PIM functions ✅Completed Time: In project deadline We have worked on 600 + Projects. I have 6 + years of the experience in same kind of p Lagi

$2200 USD dalam 15 hari
(405 Ulasan)

Dear Employer, I understand you need a solution where you want to combine data from various sources. I am an Expert with over a decade of experience. Kindly check my previous reviews here for your kind consideration: Lagi

$1500 USD dalam 7 hari
(237 Ulasan)
(334 Ulasan)
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(12 Ulasan)
(8 Ulasan)
(7 Ulasan)
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(16 Ulasan)
(5 Ulasan)

Kindly consider my bid for this Data Warehouse with PIM function task as in past we already have developed large scale |Social networking| |Sports Betting| |Cryptocurrency| |CS:GO Gambling| |Bitcoin Exchange| |Ecommerc Lagi

$2400 USD dalam 30 hari
(7 Ulasan)

I've rich experience in data processing, data mining, data scraping. I''ve good experience in handlin all formats of data such as xml,csv,excel,json,txt,yaml,etc.. I assure you i can give you high quality work. thanks Lagi

$2000 USD dalam 4 hari
(15 Ulasan)

Dear client. Thanks for your job posting. I can help you achieve your goals. Waiting for your reply. Thank you. Best regards, Yuri

$2250 USD dalam 30 hari
(4 Ulasan)
(1 Ulasan)

Hello! I have studied about your project Let`s build a Data Warehouse with PIM functions I am an expert in Node.js, Data Processing and Data Warehousing, so I'am totally sure I can deliver Your project ! Please send a Lagi

$2500 USD dalam 3 hari
(2 Ulasan)

Hi, I just read your job posting seriously and now I am very interested in your job I am a senior full-stack web developer with 7+ years of experience in building web applications and web sites I am a master of many po Lagi

$2250 USD dalam 7 hari
(1 Ulasan)

I can offer a solution based on MS SQL Server and its Business Intelligence services. They natively provide ability to gather data from different sources and collect them in DWH. Also MS SQL Server has a lot of abiliti Lagi

$2250 USD dalam 10 hari
(3 Ulasan)

Hi, I am a senior Node.js ([login to view URL]) developer with 10 years of total experience. I use Node.js, HTML5, CSS3, JavaScript, AJAX, GIT on a daily basis. I have a lot of experience in developing e-commerce apps with mark Lagi

$3000 USD dalam 7 hari
(0 Ulasan)

Iam Expertise in Desktop Suuport,IT Asset Management, KB Documents,Excel,Spreadsheet,And Upload the Products in E-cpommerce sites

$2250 USD dalam 7 hari
(0 Ulasan)