Big data sales require knowledge of products, services and solutions. A deep understanding of competitor's offerings will allow for selling large solutions. Detailed knowledge of the market segments within the industry where key accounts are held and have the ability to integrate this knowledge into the consultative selling process.

 

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    What I am looking for is to identify companies that have taken (2) loans, one in both 2020 and 2021. I am further looking to sort the data by at least NAICS code (industry) (column AM) and State (column M) I want to be able to visualize and sort the data by who was most impacted, and that will be determined by the amount of jobs lost / gained 2021 vs 2020. We can discuss further visualization (I need your guidance) but this is a minimum. We know if they have taken (2) loans if they have the same company name in 2021 however if the company only shows up once, it is 2020 so they've taken (1) loan and are not of interest to us. The total data set is under a million records.

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    Need database of students appearing for cuet exam for UG & PG programs

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    Urgent project--- need Datasets for social media images(twitter,instagram,facebook) that related with users and the datasets must contain the user data like id,profile image , the gender of the user, location of the user and the time of published image.

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    You are required to prepare technical assessment questions about Data Science for a pre-assessment platform. The questions should be in the forms of multiple choice, free text and coding, and consist of different areas which are expected to be known by a Data Scientist at a hiring phase. Multiple choice questions should consist of options and free text questions should have 5 paraphrased answers. Each question should have its title generated from the specific topic included in the question. The questions should be about the following topics: Data: Databases / Mongo DB / SQL / R / Python / Algorithms / Machine Learning Techniques / Model Training You can find examplary questions from the attached document.

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    The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. We would want to build a predictive model to predict what people are more likely to survive Titanic sinking? The data is grouped according to whether or not a person survived (1=significant, 0=insignificant). Download the data from D2L, and the following steps that will guide you how to build a data mining mo...

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    We are a vodka company that need influencers to help get the work out

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    Data Engineer 1 ditë left

    · Experience in a similar Data Engineering role, who has attained a Graduate degree or above in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. · Experience designing big data real-time processing solutions · Building and implementing Big Data solutions using Microsoft Data Platform and Azure Data Services; including Data Factory, Azure Functions, Data Warehouse, Data Lake, Data Lake Analytics, Data Bricks and U-SQL · Working with both traditional and modern data architecture and processing concepts such as relational SQL and NoSQL databases · Designing data pipelines to support machine-learning solutions. · The right candidate must also be able to support ...

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    We are looking for the person or vendor who can provide us with OTS datasets of EHR (Electronic health records) and EMR (Electronic medical records).

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