Analyzing Book Sales Records

En curso

use Pig and Spark SQL to solve the analytic problems for a set of linked tables. Now we have three data files with the following schema: customer(cid, name, age, city, sex), book(isbn, name), and purchase(year, cid, isbn, seller, price), where [url removed, login to view] is the foreign key to [url removed, login to view] and [url removed, login to view] is the foreign key to book.isbn. The fields in the dataset are separated by "\t". You should assign the schema, i.e., field names and and types, to the fields when you load the data.

Habilidades: Scala, Spark

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ID de proyecto: #11764233

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iyersume

Hi, I can do this assignment with Pig Latin and PySpark. My bid is an estimate and may change when more details are available about the project. Thanks!

$50 USD en 5 días
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0.0

8 los freelancers están ofertando un promedio de $176 para este trabajo.

tumakha

I am Senior Java/Scala Developer with 15 years of experience in design and development with strong problem solving skills. Code Samples https://github.com/tumakha CV http://bit.ly/YuriyTumakha-CV

$250 USD en 5 días
(4 comentarios)
3.5
ankratna

I have more than 5 years of industrial experience in application development and data engineering in various domains like Disaster Recovery, Virtualization, Replication, Backup, Research, Healthcare, Telecom and Retail Más

$166 USD en 3 días
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$100 USD en 3 días
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gcoban

I am a Data Scientist with strong Academic Machine Learning background who has also experienced on Hadoop/Spark/Storm environments with related technologies such as Pig, Hive, Kafka, Oozie etc. I am perfect fit for Más

$150 USD en 3 días
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go4somu

Been working on data processing with spark these days.. Excited to expand myself on more problems on the same

$222 USD en 3 días
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$222 USD en 6 días
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smartresearch1

I can add insightful analytics on that, I have worked on sales analysis, customers segmentation, catalogue optimization. I am an expert in data mining and predictive modeling. I have a PhD in Physics and I have exten Más

$200 USD en 10 días
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0.0
$272 USD en 2 días
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