Questions tagged [bigdata]

Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis and visualization.

Filter by
Sorted by
Tagged with
4
votes
3answers
515 views

Best platform to work with when having millions of rows in dataframe

I have table with around 20 features and millions of observations (rows). I need to create model base on this table, however, as it is huge, training models like random forest or XGB takes forever. I'...
2
votes
1answer
28 views

Data Art/ Data Visualization Art/ Information Art

Few days ago, I learned about data art/ data visualization art/ information art. I think I have interest in it. I want to see how I can use my data science skills in this area. However, I don't know ...
1
vote
0answers
15 views

Word count with map reduce

Suppose we use an input file that contains the following lyrics from a famous song: We’re up all night till the sun We’re up all night to get some The input pairs for the Map phase will be the ...
1
vote
2answers
133 views

Where can I find study materials? [closed]

Can anyone recommend me some material (books, blogs, youtube channels, ...) to study statistics, Machine Learning and in general Data Science topics? Thanks
0
votes
1answer
17 views

How do I create a dataset from many CSV files that is too large for RAM

I have been handed about 40 GB of CSV files that I need to turn into a database. The files are arranged in a file structure that uses location in that file structure to create a relationship between ...
0
votes
0answers
11 views

Find a column by name in a row in scala spark

I have a Seq[Row].Each row is an Array of Struct.Struct has four fields: a,b,c and d all of which are String.The data in a particular row is something like this: [{"a":"ahahk",&...
1
vote
0answers
45 views

Best way to find nearest neighbor distance for large datasets

I am a grad student doing research using generative machine learning with pytorch, and I have generated a set of points. I would like to check how similar these new points are to the points I used in ...
0
votes
2answers
52 views

Fastest way to replace a value in a pandas DataFrame?

I am loading in 1.5m images with 80,000 classes (or I will have to when I eventually train) into a Keras generator and am using a pandas dataframe to do so. The problem is, with so many images, my ...
0
votes
1answer
33 views

How to do EDA on large datasets

I have a table in Postgres with ~5million records. When I load the dataset using pandas to perform EDA, I run out of memory. ...
0
votes
0answers
18 views

KMeans using Mapreduce in Python

I wrote a mapreduce code in python which works locally i.e., cat test_mapper |python mapper.py sort the result, and ...
0
votes
0answers
13 views

suggestion needed for big data development

I am trying to find out what is state of the art with database, python, and big data. My starting point began with a SQL server, and multiprocessing pandas, and dask. Imagine I need to maintain a ...
1
vote
3answers
68 views

Efficiently modify a large csv file in Pandas

I have a csv file and would like to do the following modification on it: ...
0
votes
0answers
175 views

Access global variable from UDF (User Defined Function) in python in spark

I am trying to alter a global variable from inside a pyspark.sql.functions.udf function in python. But, the change in not getting reflected in the global variable. ...
1
vote
1answer
39 views

ML modeling a data with big amount of rows

I want to do ML modeling such XGboost, KNN, and similar models on data with 9 numerical features and more than 25 million rows and the size of data is almost 2.5 Gig and I prefer to use all the data ...
0
votes
1answer
22 views

How to choose feedforward architecture for few number of features but very large instance?

Assume I have 1 million of data instance and each instance contains 100 feature. For each instance, I also have a lable. The ...
0
votes
0answers
27 views

Examples of Open source huge business intelligence datasets

I've observed that many of the datasets available for traditional ML and data science algorithms seem to be in the order of MB. I assumed these may be because earlier computers were not that ...
2
votes
0answers
104 views

XGBoost incremental training for big datasets

I am trying to train an XGBoost model on a quite big dataset (tens of GB, almost a hundred). I have been trying to use some libraries such as Dask to deal with this problem, without any success due to ...
0
votes
0answers
13 views

What are the execution service and the event service in Netflix big data

From the following article by the netflix engineering team: The core architecture of the big data platform at Netflix involves three key services. These are the execution service (Genie), the ...
0
votes
1answer
163 views

How do you do 1-vs-rest classifiers in XGBoost Library (Not Sklearn)?

I am working with a very large dataset that would benefit from using training continuation with the xgb_model parameter in ...
0
votes
1answer
44 views

Subsampling the “right” amout of data to train an ML model

I am training a machine learning model (i.e., a classifier) on a large dataset. I know that I can get the same results using less data (about 30%) but I would like to avoid the trial and error process ...
0
votes
0answers
11 views

Scalable Infrence Server for Object Detection

I have created a Django service (nginx + Gunicorn) for object detection models. For my case i have 50+ models with resnet 50 based back bone. Server Machine Specification: 16 CPU 64 GB Ram I have ...
0
votes
0answers
22 views

What should be the architecture design for the dataset to be used for a machine learning API

I have aroud 30GB of market dataset in csv format which is downloaded onto my server computer everyday. Now I want to use this dataset to do some computations and provide some analysis. The user will ...
1
vote
0answers
34 views

How do you perform basic statistical analysis on a Binary Dataset?

I have never worked with a Binary dataset (1 and 0) (True or False) so I'm unsure what kind of statistical tests I should run to draw up simple conclusions. I'm doing a data science project and the ...
6
votes
1answer
120 views

What is the best way (cheapest / fastest option) to train an model on massive dataset (400GB+, 100m rows x 200 columns)?

I have a 400GB data set that I want to train a model on. What is the cheapest method to train this model? The options I can think of so far are: AWS instance with massive RAM and train CPU (slow, but ...
0
votes
0answers
45 views

Working with mySQL and pytorch Dataset

I am working with high frequency time indexed data. We have 2 types of data each with about 5 columns. For each type of data we have 2500 streams coming in and being updated every 1ms-100ms (the ...
0
votes
0answers
37 views

Extracting possible relationships and insights from a large dataset

I have a dataset with about 26'000 variables and 33'000 continuous observations. My task is to extract any interesting insights/possible relationships between various variables. I am looking for any ...
0
votes
0answers
10 views

How to Combine Oracle and Snowflake/Redshift data on the fly

Have a Schema.Table_Name on Oracle. Exactly similar table is on Snowflake with same metadata(Schema.Table_Name). How can I combine data from two on the fly without moving Oracle data to Redshift. Most ...
1
vote
1answer
19 views

Where can I find a dataset that contains criminal case sentencing data? [closed]

I would like to study a dataset where each record represents a criminals case in the US and contains attributes such as: Type of crime Defendant Age/Sex/Race Plea Verdict Sentence Is there a dataset ...
0
votes
0answers
33 views

In Spark, what's the role of each of Cluster manager and Spark Context?

What's the role of a cluster manager and the role spark context (Driver program) in terms of managing worker nodes. How do they communicate with each other (and with the worker nodes) and when they do ...
0
votes
0answers
14 views

Trigger job in SAP BW from SAC

Is there a way to have the following occur: When a job is finished on the SAC (SAP Analytics Cloud) side, a job on the SAP BW side should be triggered. Is that at all possible? I have found this which ...
0
votes
0answers
25 views

Difference between MapReduce, Dryag and Pregel in terms of efficiency

What is the difference between the three parallel processing paradigms: MapReduce, Dryag, and Pregel in terms of efficiency for big data analytics applications? Thank you.
-2
votes
1answer
17 views

What data to collect to create useful insights?

I am creating a Social Media app and I want to know what type of data shall I collect to create useful insights for Business accounts or Content Creators? For example if I want to create an insight ...
1
vote
1answer
53 views

How to train a model using a daunting huge training dataset

I have an extremely huge dataset and I'm wondering me how could be the right way to set an experiment to use this data to train a model. I understand that I can use data-reduction to, for instance, ...
0
votes
0answers
38 views

How to Integrate/map Population Data with/over Sample Data

Problem Definition: Our organization is conducting different type of surveys and Census in our country. The basic difference between Census and Survey is that, the target of Census is the Complete ...
2
votes
0answers
52 views

Clustering large set of images

I've got some big datasets of images (a few million each), and I would like to cluster them according to images' visual similarities. I've extracted a feature vector for each image; the space of ...
2
votes
0answers
33 views

What is the difference between Pachyderm and Git?

I learned that tools like Pachyderm version-control data, but I cannot see any difference between that tool with Git. I learned from this post that: It holds all your data in a central accessible ...
3
votes
1answer
127 views

Why do machine learning engineers insist on training with more data than validation set?

Among my colleagues I have noticed a curious insistence on training with, say, 70% or 80% of data and validating on the remainder. The reason it is curious to me is the lack of any theoretical ...
0
votes
0answers
39 views

What is the azure solution for storing and querying Netcdf data on the fly?

We currently run a live web application which utilises standard azure mounted file storage to store 2tb worth of metocean data in netcdf format. On here we run python queries directly on the data e.g. ...
0
votes
1answer
34 views

How to grade an interaction that a user had with a post with an AI based on big data?

Context I'm creating a social network. The thing is, I don't want to order posts by likes, or something like that, I'm using an AI (lightfm in ...
1
vote
1answer
26 views

How do data types influence hardware (CPU / GPU / TPU) performance?

I am currently dealing with a relatively big data set, for which I have some memory usage concerns. I am dealing with most of the different data types : floats, integers, Booleans, characters strings ...
0
votes
0answers
21 views

Is there a data structure that works similarly to a (binary) tree?

Im currently working with some data, which is part of a very large data set (height, about 6000 elements per timestep - timestep every minute over days at a time). I need to differentiate between ...
0
votes
0answers
18 views

How are big models like GPT-3 developed?

For models trained with a moderate amount of data, I would expect a the development workflow to include extensive hyper-parameter optimization through extensive retraining. But how is this handled for ...
0
votes
0answers
16 views

Ideas on handling large quantities of "waste" data

Hello and thank you for taking time out of your day to help me. I am currently working on developing a machine vision application for production monitoring. The application handles images, about 20,...
-1
votes
1answer
539 views

How to store efficiently very large sparse 3D matrices

To train a CNN, I have stacked arrays of images over observations [observations x width x length]. The dataset is very sparse ($95\%$). What would be an efficient ...
0
votes
0answers
42 views

Create User Table from Google Firebase Analytics and Cloud Firestore Collections

I am exporting my snowplow collections collected on Firebase using the extention Export Collections to BigQuery firestore-bigquery-export v0.1.10. Whenever a document is created, updated, imported, or ...
2
votes
1answer
45 views

Size of datasets over years

I am looking for statistics, to understand the evolution of the size of the (public) dataset over the years. I just found the following statistics: The poll of KDnuggets that actually shows that over ...
2
votes
1answer
520 views

How does skewed data affect deep neural networks?

I'm playing around with deep neural networks for a regression problem. The dataset I have is skewed right and for a linear regression model, I would typically perform a log transform. Should I be ...
1
vote
1answer
172 views

Public dataset for news articles with their associated categories for multilabel data classification

I am wondering if there are any public datasets of news, like The New York Times (NYT) or similar to various news categories such as politics, entertainment, lifestyle, general news, sports, etc. I ...
1
vote
0answers
13 views

How much information is produced in our Society? [closed]

I was reading an interesting article about the growth of data in our society: https://rss.onlinelibrary.wiley.com/doi/epdf/10.1111/j.1740-9713.2012.00584.x Does any of you know if there exists a more ...
4
votes
1answer
179 views

What is the main difference between Hadoop and Spark? [closed]

I recently read the following about Hadoop vs. Spark: Insist upon in-memory columnar data querying. This was the killer-feature that let Apache Spark run in seconds the queries that would take Hadoop ...

1
2 3 4 5
10