ODSC - Open Data Science

JUNE 19, 2023

These technologies include the following: Data governance and management  — It is crucial to have a solid data management system and governance practices to ensure data accuracy, consistency, and security. It is also important to establish data quality standards and strict access controls.

Big Data 96

Big Data ETL Artificial Intelligence Artificial Intelligence 96

Unite.AI

SEPTEMBER 22, 2023

Jay Mishra is the Chief Operating Officer (COO) at Astera Software , a rapidly-growing provider of enterprise-ready data solutions. What initially attracted you to computer science? What we have done is we have actually created this configuration where you are able to pick from a large list of options.

Large Language Models 278

Large Language Models Automation Artificial Intelligence Artificial Intelligence 278

IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Data Quality 130

Data Quality Metadata ETL Big Data 130

Pickl AI

FEBRUARY 4, 2024

This user-friendly approach makes Alteryx suitable for a diverse user base, from data enthusiasts to business analysts. Streamlined Data Integration Alteryx redefines the way organizations handle data integration. Is Alteryx an ETL tool? Yes, Alteryx is an ETL (Extract, Transform, Load) tool.

ETL 52

ETL Automation Machine Learning Data Integration 52

Pickl AI

JUNE 28, 2023

Here comes the role of Data Mining. Read this blog to know more about Data Integration in Data Mining, The process encompasses various techniques that help filter useful data from the resource. Moreover, data integration plays a crucial role in data mining.

Data Mining 52

Data Mining Data Integration ETL Data Quality 52

Pickl AI

APRIL 26, 2024

During a data analysis project, I encountered a significant data discrepancy that threatened the accuracy of our analysis. I conducted thorough data validation, collaborated with stakeholders to identify the root cause, and implemented corrective measures to ensure data integrity. 10% group discount available.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Pickl AI

OCTOBER 19, 2023

This includes removing duplicates, correcting typos, and standardizing data formats. It forms the bedrock of data quality improvement. Implement Data Validation Rules To maintain data integrity, establish strict validation rules. This ensures that the data entered meets predefined criteria.

Data Quality 52

Data Quality ETL Machine Learning Data Ingestion 52

Pickl AI

JULY 24, 2023

Typically, data is gathered over a predetermined period of time, and the batch is subsequently processed as a whole. When there is a delay in the availability of data for analysis and real-time processing is not necessary, this method works well.

Data Ingestion 52

Data Ingestion ETL Data Integration Data Science 52

Unite.AI

DECEMBER 5, 2023

They can contain structured, unstructured, or semi-structured data. These can include structured databases, log files, CSV files, transaction tables, third-party business tools, sensor data, etc. The data ecosystem is connected to company-defined data sources that can ingest historical data after a specified period.

Metadata 162

Metadata Big Data ETL Data Ingestion 162

Pickl AI

NOVEMBER 15, 2023

What Is a Data Warehouse? On the other hand, a Data Warehouse is a structured storage system designed for efficient querying and analysis. It involves the extraction, transformation, and loading (ETL) process to organize data for business intelligence purposes. It often serves as a source for Data Warehouses.

ETL 52

ETL Metadata Business Intelligence Data Analysis 52

ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL.

Data Scientist 98

Data Scientist Data Analysis Data Science Python 98

Marktechpost

JULY 17, 2023

IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

Machine Learning 87

Machine Learning Data Mining Data Scientist Artificial Intelligence 87

Bugra Akyildiz

NOVEMBER 20, 2022

We created zpy to make synthetic data easy, by simplifying the simulation (sim) creation process and providing an easy way to generate synthetic data at scale. The library is centered on the following concetps: ETL : central framework to create data pipelines. Zpy is available in GitHub.

ML 52

ML ETL Data Science DevOps 52

Pickl AI

NOVEMBER 14, 2023

Whether you’re working on Data Analysis, Machine Learning, or any other data-related task, having a well-organized Importing Data in Python Cheat Sheet for importing data in Python is invaluable. So, let me present to you an Importing Data in Python Cheat Sheet which will make your life easier.

Python 52

Python Data Analysis Data Science Data Scientist 52

Artificial Corner

JUNE 6, 2023

It provided a platform for big data processing and machine learning, simplifying the process of building and deploying data pipelines. Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. It helps data engineering teams by simplifying ETL development and management.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. By analyzing millions of metadata elements and data flows, Iris could make intelligent suggestions to users, democratizing data integration and allowing even those without a deep technical background to create complex workflows.

ETL 112

ETL Prompt Engineer Prompt Engineering Generative AI 112