phData

APRIL 26, 2024

One common scenario that we’ve helped many clients with involves migrating data from Hive tables in a Hadoop environment to the Snowflake Data Cloud. Click Create cluster and choose software (Hadoop, Hive, Spark, Sqoop) and configuration (instance types, node count). Configure security (EC2 key pair). Find ElasticMapReduce-master.

Hadoop 52

Hadoop Clustering AWS Database 52

Data Science 101

JUNE 10, 2019

Hadoop, SQL, Python, R, Excel are some of the tools you’ll need to be familiar using. In addition to having the skills, you’ll need to then learn how to use the modern data science tools. Each tool plays a different role in the data science process.

Data Science 96

Data Science Data Scientist Data Analyst Data Engineering 96

DagsHub

DECEMBER 11, 2023

Released in 2022, DagsHub’s Direct Data Access (DDA for short) allows Data Scientists and Machine Learning engineers to stream files from DagsHub repository without needing to download them to their local environment ahead of time. This can prevent lengthy data downloads to the local disks before initiating their mode training.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

The MLOps Blog

JANUARY 23, 2023

When we download a Git repository, we also get the.dvc files which we use to download the data associated with them. More about Neptune: Working with artifacts: versioning datasets in runs How to version datasets or models stored in the S3 compatible storage Dolt Dolt is a SQL database that is created for versioning and sharing data.

ML 52

ML ML Data Lakes Machine Learning 52

DagsHub

OCTOBER 23, 2024

Here’s the structured equivalent of this same data in tabular form: With structured data, you can use query languages like SQL to extract and interpret information. Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. This text has a lot of information, but it is not structured.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

phData

OCTOBER 20, 2023

It is specifically designed to work seamlessly with Hadoop and other big data processing frameworks. This file format is optimized for use with Hadoop and other big data processing frameworks and is highly compressed, offering excellent performance for batch processing and interactive querying.

Big Data 40

Big Data Big Data Database Hadoop 40