You will get Scalable Job Board Web Scrapping Framework
Project details
I can offer a robust high-level multi-cloud architecture for multi-source web extraction and high-level solution design. This design is scalable and is a fit for big data analytics.
My present ETL Architecture involves Data extraction from multiple sources and deliveries in real-time with a database magnitude of 75+ million data points that are processed through AI data enrichment tactics. Using my proprietary algorithms for precise and insightful analytics of the recruitment market. The data extraction is done multiple times a day enables us to derive insightful and actionable insights in near real-time as and when it happens.
I use multiple truncation algorithms and BI accelerations for fast querying in databases of such a large magnitude. This is done in a combination of multiple cloud functions namely Amazon Web Services and Google Cloud Platform to utilise the best of both worlds.
The deployment and framework are seamless and robust in terms of implementation and migration.
My present ETL Architecture involves Data extraction from multiple sources and deliveries in real-time with a database magnitude of 75+ million data points that are processed through AI data enrichment tactics. Using my proprietary algorithms for precise and insightful analytics of the recruitment market. The data extraction is done multiple times a day enables us to derive insightful and actionable insights in near real-time as and when it happens.
I use multiple truncation algorithms and BI accelerations for fast querying in databases of such a large magnitude. This is done in a combination of multiple cloud functions namely Amazon Web Services and Google Cloud Platform to utilise the best of both worlds.
The deployment and framework are seamless and robust in terms of implementation and migration.
Data Tool
PythonWhat's included $5,000
These options are included with the project scope.
$5,000
- Delivery Time 30 days
- Number of Pages Mined/Scraped 1000
- Number of Sources Mined/Scraped 5
- Number of Revisions 3
Optional add-ons
You can add these on the next page.
Additional Source Mined/Scraped
(+ 5 Days)
+$2,000
Additional Revision
+$500About David
Data Analytics Specialist - OpenAI, ChatGPT, Cloud, and Advanced BI
Harrow, United Kingdom - 3:03 am local time
✨ Ex Dragons' Den Consultant | London Market.
🎯 Digital & Data Analytics Strategist.
📈 Expert Driving The Digital Transformation of Any Industry.
📈 Process Transformation, Data-Driven Decision Making Enabler.
"Very Proactive, Very Good Job. Was Short And Sweet, Need More People Like That" ⭐️⭐️⭐️⭐️⭐️ - Pierre, Huntsman.
Digital disruption is happening everywhere and happening fast. As a result, companies worldwide are racing towards digitalization, and they agree Data Analytics led to "faster, more effective decision-making" at their companies.
You don't want to be ⚠️ LEFT BEHIND.
However, developing and implementing a successful Business Intelligence strategy may seem daunting and can be a risky venture and cost a fortune when done wrong.
That's where I come in. I specialize in building scalable Business Intelligence and Data Analytics solutions for startups, small businesses and enterprise companies. I will strive to build you a high-performing BI solution using the latest tools and technologies.
I am well versed in the tools & technologies listed below. (Expert level & Practitioner)
-- Visualization Tools: Tableau, Data Studio, Power BI, QlikView, BIRST, Jaspersoft and Cognos.
-- Cloud ETL: Funnel.io, Supermetrics, Fivetrans, Stitch, Snowflake.
-- Cloud Platforms Amazon AWS, GCP, Microsoft Azure.
I can help to turn your data idea into a money-spinner. 💰
I would love to learn about your ideas for maximizing your business performance.
Thanks for reading my profile, and best of luck.
Best Regards,
David
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After purchasing the project, send requirements so David can start the project.
Delivery time starts when David receives requirements from you.
David works on your project following the steps below.
Revisions may occur after the delivery date.
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