Analyzing Book Sales Records

$30-250 USD

Terminado

Publicado

hace más de 7 años

$30-250 USD

Pagado a la entrega

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 [login to view URL] is the foreign key to [login to view URL] and [login to view URL] 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.

Scala

Spark

ID del proyecto: 11764233

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8 propuestas

Proyecto remoto

Activo hace 8 años

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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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8 freelancers están ofertando un promedio de $176 USD por este trabajo

@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 extensive experience in machine learning applications, statistics and software development (web, mobile, desktop, SaaS). I work with R, Python, Spark, SQL, noSQL, Hadoop, .NET, Java, Angular JS, Quantopian, C#, and Tableau.

$200 USD en 10 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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@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 this task, you will get high points and let me do your future tasks.

$150 USD en 3 días

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(0 comentarios)

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@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. I have worked on various data engineering technologies of Big Data Ecosystem like : Data Processing - Apache Spark(In memory Processing), Hadoop Ecosystem(Hbase, Pig, Hive, Impala, Hdfs) Cluster Resource Manager - Apache Yarn NoSql Database - Elasticsearch, Aerospike, MongoDb Platform Building - Cloudera, ELK, Docker Security - Kerberos, Sentry File Formats - Parquet Language - Java, Scala, C# Cloud - AWS, Azure

$166 USD en 3 días