Edureka

AUGUST 2, 2023

Due to its strong data analysis and manipulation skills, it has significantly increased its prominence in the field of data science. Python offers a strong ecosystem for data scientists to carry out activities like data cleansing, exploration, visualization, and modeling thanks to modules like NumPy, Pandas, and Matplotlib.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Knowledge Hut

NOVEMBER 28, 2023

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

JANUARY 30, 2024

Whether it's aggregating customer interactions, analyzing historical sales trends, or processing real-time sensor data, data extraction initiates the process. Utilizes structured data or datasets that may have already undergone extraction and preparation. Primary Focus Structuring and preparing data for further analysis.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

U-Next

SEPTEMBER 9, 2022

The need for data analysts & scientists is like an unstoppable torrent of water, but the supply is a trickle. . Wide-ranging and Extensive Skillset Needed: Working in Data Science involves far more than just knowing how to code. You need to be skilled at using tools like Spark, Hadoop, and NoSQL. Machine Learning .

Data Science 40

Data Science Computer Science Machine Learning Data Cleanse 40

Edureka

APRIL 17, 2023

For this project, you can start with a messy dataset and use tools like Excel, Python, or OpenRefine to clean and pre-process the data. You’ll learn how to use techniques like data wrangling, data cleansing, and data transformation to prepare the data for analysis.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Confluent

APRIL 3, 2019

In CASE you need more flexibility with your data…. There are numerous uses for it, and now KSQL supports it :yay: CASE: Data cleansing. Imagine you have an inbound stream of data, in which some of the values aren’t in the form that you want them. GitHub issue #620. You can also follow him on Twitter.

Food 95

Food Kafka Bytes Data Cleanse 95

AltexSoft

AUGUST 29, 2023

This zone utilizes storage solutions like Hadoop HDFS, Amazon S3, or Azure Blob Storage. After residing in the raw zone, data undergoes various transformations. The data cleansing process involves removing or correcting inaccurate records, discrepancies, or inconsistencies in the data. Transformation section.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52