Questions tagged [data-engineering]
Data Engineering is the process of extracting data, (cleaning and) transforming it into a proper format, and loading it into a location where other users can access it, which is commonly abbreviated as ETL. This data is later on used by Data Scientists for their analysis.
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Storing XML data from thousands of API calls
I am working on a data pipeline that pulls document metadata from an electronic document management system (EDMS). The end goal is to visualize document statuses (overdue, submitted etc.) in a PowerBI ...
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How to deal with high data volumes? (Tools, techniques, concepts, etc.)
I have some doubts about how to deal with high volumes of data. I'm currently working in the data analysis/data science field, so I've had the chance to perform calculations, manipulate data, and ...
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What are the implications of lethal use of military technology developed by industrial engineers with the use of data science?
I’m currently in my first year of collage in engineering and I was wondering about the implications of the use of technology in military applications, with the combination of data science and ...
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How to Data Engineer a dataset to get the best featurres to predict a target class?
In my dataset, I have data of IDs that don't create any meaningful relationship with each other and when I test that dataset on different models I am not getting accuracy more than 40%.
Anyone can ...
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How can GPT4 be used to create structured meta-data for unstructured data?
I often ingest unstructured datasets in Excel format, create meta-data, and transform the data in R to create a structured dataset. This includes normalization, so that there is little redundancy in ...
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How would I design a database structure for a feature store?
I have a personal project to create predictions for tennis matches.
It currently consists of a Python application and a MySQL database. I extract data from various websites and APIs and store it in ...
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Read from database every time a new record goes through a Spark pipeline
I'm using Spark to filter and transform every new record that goes through a data stream, the problem is that for each new record I need to read a table from a Cassandra database in order to have the ...
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Time series prediction of individual customer (transaction count and gross value) using LSTM/NARX
Problem:
I'm trying to rewrite Matlab code that goal is prediction of gross value using historical data of 2 features: gross value of next week. The data is about customer transaction in retail where ...
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Preprocessing vs Data Engineering vs Feature Engineering
I'm having a very hard categorizing different methods of data preparation into the 3 categories Preprocessing, Data Engineering, Feature Engineering.
A somewhat common definition describes Feature ...
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Airbyte docker container not able to read local json file on MacOSX
I am just trying to test out airbyte, I am loading up a json, I want to do some data manipulation and export it back out to json. All done locally with while running on docker.
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How to upload a Pandas DataFrame into a Postgres table in Airflow?
I need to create a task in Airflow which downloads data from one Postgres database and uploads it to another.
My code looks like this:
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Migrating legacy data in Kafka to use a schema registry to support a streaming data pipeline
(If this is not the correct Stack site for this question, please let me know - it seemed the best fit)
We currently have a 'legacy' system whose output are events coming in from a distributed ...
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How to partition data effectively?
I have a pipeline which outputs model scores to s3. I need to partition the data by model_type and date. Which is the most efficient way to partition the data from the below:
s3://bucket/data/...
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Data engineering good and bad practice?
I'm a Data Analyst in a pretty big company and I'm having a really bad time with the data I'm being given. I spend about 70% of my time thinking about where to find the data and how to pull it instead ...
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Batch-driven or event-driven ETL
I am trying to come up with a data pipeline architecture. The data I deal with is event logging for labs requested, failed, succeeded etc with timestamps and some customer info for several different ...
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When Does Feature Selection Takes Place?
I have a dataset where there are categorical features as well as numeric features, and I have to perform OneHotEncoding, Normalization and feature selection on it.
In what order should I perform these ...
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Best Technologies opening Large Sets of Sensor Time-Series Data to Analytics
My team is exploring options to create a robust "analytics" capability that is well-suited for our large quantities of sensor test data. I'd appreciate any suggestions for technologies that ...
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Alternative to EC2 for running ML batch training jobs on AWS
We are building an ML pipeline on AWS, which will obviously require some heavy-compute components including preprocessing and batch training.
Most the the pipeline is on Lambda, but Lambda is known to ...
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How do I replace NaN values using group by pivot_table in pandas DataFrame?
I am working on a machine learning practice problem, from https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/#ProblemStatement
I want to replace the null values in the ...
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Storing Large dataset for processing and analysis of data
I am new to data engineering and wanted to know , what is the best way to store more than 3000 GB of data for further processing and analysis ? I am specifically looking for open source resources . I ...
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Transitioning from a python script for data transformation to BigQuery
So I have a dataset spread over multiple and ever-growing excel files all of which looks like:
email
order_ID
order_date
[email protected]
1234
23-Mar-2021
[email protected]
1235
23-Mar-2021
user2@...
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How to schedule importing data files from SFTP server located on compute engine instance into BigQuery?
What I want to achieve:
Transfer hourly coming data files onto a SFTP file server located on a compute engine VM from several different feeds into Bigquery with real-time updates effectively & ...
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How to Include Features that Apply to Specific Classes
I'm predicting hours that will be worked for building tasks. Due to the overall low sample size, I've stacked multiple related tasks together into a single model. (There may be 100 total samples in a ...
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Advice on where to continue in the field of data engineering and machine learning
I finished a 28 hours Machine learning with python (Basic course) on Udemy, and it was very beneficial.
My aim, is to be able to understand what is ML and how to use its concepts while working with ...
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ETL and Data Engineering - is it purely the knowledge of tools or is there theory behind it?
I would like to better understand what a good Data Englineer must know or what he does. Job descriptions mostly list tools that are required, such as Python.
If it is possible to separate Data ...
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The OLAP (On-Line Analytical Processing) cube with 4 dimensions [closed]
A typical OLAP cube looks like this:
As I can see, this cube can work with 2 or 3 dimensions, but what if I have 4 dimensions to produce facts?
Should I use star schema instead when having more than ...
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Data Engineering Stack - collect, transform and visualize geospatial data
I'm making a side project, where I collect geospatial data by web scrapping and from OSM API. I've started with simple Java application, however, I would like to make it as a data flow, purely for ...
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Efficient way of adding new columns to datamart without reprocessing complete pipeline
I have a software engineering background and relatively new to data engineering. I am building out tables/datamarts in our datalake for data scientists and analysts to use. We use Airflow for ...
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Creating more than one worker nodes for local windows machine [closed]
I am using windows laptop. And I installed apache spark for my laptop. And I try to measure spark performance by changing spark components. because of that I want to create more than one worker nodes ...
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How to run Spark python code in Jupyter Notebook via command prompt
I am trying to import a data frame into spark using Python's pyspark module. For this, I used Jupyter Notebook and executed the code shown in the screenshot below
After that I want to run this in CMD ...
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Can we add other features along with Text in sentiment analysis
Can we add other features along with Text to a ML model . Like giving text and other features as one input combining them and predict the output value. As model can learn some more better if given ...
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Is there a cost associated with converting Koalas dataframe to Spark dataframe?
I know that pandas works "under the hood" with numpy arrays stored in dictionaries. In contrast, Koalas works with the underlying Spark framework. Does that mean that there is no extra cost associated ...
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Loading models from external source
I have a 500MB model which I am commiting to Git. That is a really bad practice since for newer model versions the repository will be huge. As well, It will slow down all builds for deployments.
I ...
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How to sort a multi-level pandas data-frame by a particular column?
I would like to sort a multi-index pandas dataframe by a column, but do not want the entire dataframe to be sorted at once. But rather would like to sort by one of the indices. Here is an example of ...
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