ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

Data Integration 98

Data Integration ML ESG Big Data 98

Pickl AI

OCTOBER 11, 2024

It supports compliance with regulations and enhances accessibility, allowing organizations to leverage insights for informed decision-making. Introduction In the realm of technology, business, and science, the terms data and information are often used interchangeably. What is Data? Data can include: Numbers (e.g.,

Data Quality 52

Data Quality Data Integration Business Intelligence Artificial Intelligence 52

AI News

OCTOBER 17, 2024

Data integrity and security emerged as the biggest deterrents to implementing new AI solutions. Executives also reported encountering various AI performance issues, including: Data quality issues (e.g., Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

Big Data 251

Big Data AI AI Data Quality 251

Pickl AI

JUNE 7, 2024

Summary: Choosing the right ETL tool is crucial for seamless data integration. Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Also Read: Top 10 Data Science tools for 2024.

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AI News

MAY 20, 2024

Moreover, the reliability of information provided by generative AI has been questioned. Feedback from the general public indicates that half of the data received from AI was inaccurate, and 38% perceived it as outdated. This lack of emphasis on data integrity and ethical considerations puts firms at risk.

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Unite.AI

DECEMBER 5, 2023

In this digital economy, data is paramount. Today, all sectors, from private enterprises to public entities, use big data to make critical business decisions. However, the data ecosystem faces numerous challenges regarding large data volume, variety, and velocity. Enter data warehousing!

Metadata 162

Metadata Big Data ETL Data Mining 162

Pickl AI

OCTOBER 22, 2024

Summary: Relational database organize data into structured tables, enabling efficient retrieval and manipulation. They ensure data integrity and reduce redundancy through defined relationships. Introduction What if you could instantly access any piece of information you need, without having to sift through piles of data?

Data Integration 52

Data Integration Big Data Linked Data Artificial Intelligence 52

IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Managing this level of oversight requires adept handling of large volumes of data.

Metadata 189

Metadata Data Quality Auto-classification DevOps 189

Pickl AI

OCTOBER 16, 2024

Summary: Relational Database Management Systems (RDBMS) are the backbone of structured data management, organising information in tables and ensuring data integrity. Introduction RDBMS is the foundation for structured data management. These rules prevent duplicate records and maintain referential integrity.

Data Integration 52

Data Integration Big Data Business Intelligence Machine Learning 52

Marktechpost

JUNE 5, 2024

Data profiling is a crucial tool. For evaluating data quality. It entails analyzing, cleansing, transforming, and modeling data to find valuable information, improve data quality, and assist in better decision-making, What is Data Profiling? Fixing poor data quality might otherwise cost a lot of money.

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Data Quality Metadata Data Integration ETL 115

AWS Machine Learning Blog

OCTOBER 24, 2024

RAG introduces an information retrieval component that uses the user input to first pull information from a new data source. This new data from outside of the LLM’s original training data set is called external data. The data might exist in various formats such as files, database records, or long-form text.

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LLM Big Data Architect Software Development Big Data 118

Pickl AI

OCTOBER 10, 2024

Introduction Data transformation plays a crucial role in data processing by ensuring that raw data is properly structured and optimised for analysis. Data transformation tools simplify this process by automating data manipulation, making it more efficient and reducing errors.

ETL 52

ETL Data Quality Business Intelligence Big Data 52

Pickl AI

NOVEMBER 4, 2024

Introduction Data Engineering is the backbone of the data-driven world, transforming raw data into actionable insights. As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. The global data integration market was valued at USD 11.6

Data Quality 52

Data Quality ETL Data Integration Machine Learning 52

Pickl AI

JULY 30, 2024

Its architecture includes FlowFiles, repositories, and processors, enabling efficient data processing and transformation. With a user-friendly interface and robust features, NiFi simplifies complex data workflows and enhances real-time data integration. How Does Apache NiFi Ensure Data Integrity?

Data Ingestion 52

Data Ingestion ETL Big Data Data Integration 52

Aiiot Talk

SEPTEMBER 13, 2023

Global data volumes are expected to exceed 180 zettabytes by 2025. As this amount continues to soar, the cloud offers an efficient and cost-effective way to use and analyze information. Its global network of data centers ensures fast data access and scalability.

Data Science 130

Data Science Data Scientist Machine Learning Big Data 130

Pickl AI

OCTOBER 11, 2024

These include the database engine for executing queries, the query processor for interpreting SQL commands, the storage manager for handling physical data storage, and the transaction manager for ensuring data integrity through ACID properties. Data Independence: Changes in database structure do not affect application programs.

Data Integration 52

Data Integration Metadata Big Data Algorithm 52

Pickl AI

OCTOBER 6, 2024

Understanding these methods helps organizations optimize their data workflows for better decision-making. Introduction In today’s data-driven world, efficient data processing is crucial for informed decision-making and business growth. Talend: An open-source solution that provides various data management features.

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ETL Data Quality Data Integration Big Data 52

Flipboard

NOVEMBER 15, 2024

This post shows you how to enrich your AWS Glue Data Catalog with dynamic metadata using foundation models (FMs) on Amazon Bedrock and your data documentation. AWS Glue is a serverless data integration service that makes it straightforward for analytics users to discover, prepare, move, and integrate data from multiple sources.

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Metadata Generative AI LLM AI 148

Marktechpost

NOVEMBER 23, 2024

Data analysis helps organizations make informed decisions by turning raw data into actionable insights. With businesses increasingly relying on data-driven strategies, the demand for skilled data analysts is rising. You’ll learn the fundamentals of gathering, cleaning, analyzing, and visualizing data.

Data Analysis 59

Data Analysis Python ETL Big Data 59

IBM Journey to AI blog

NOVEMBER 14, 2023

Internal data monetization initiatives measure improvement in process design, task guidance and optimization of data used in the organization’s product or service offerings. Creating value from data involves taking some action on the data. Doing so can increase the quality of data integrated into data products.

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ODSC - Open Data Science

SEPTEMBER 27, 2023

In the ever-evolving world of big data, managing vast amounts of information efficiently has become a critical challenge for businesses across the globe. As a result, data lakes can accommodate vast volumes of data from different sources, providing a cost-effective and scalable solution for handling big data.

Big Data 98

Big Data Metadata ETL Business Intelligence 98

Pickl AI

JULY 3, 2024

and their significance in data retrieval, analysis, and security. Learn best practices for attribute design and how they contribute to the evolving data landscape. Introduction In the realm of databases, where information reigns supreme, attributes are the fundamental building blocks. They uniquely identify an entity instance.

Data Analysis 52

Data Analysis Big Data Data Integration Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 4, 2024

’ In Apache architecture, an event is any message that contains information describing what a user has done. A ‘consumer’ is any component that needs the data that’s been created by the producer to function.

Big Data 147

Big Data Data Analysis Data Integration Automation 147

TransOrg Analytics

AUGUST 21, 2024

This article explores how data engineering can improve Customer 360 initiatives for AWS data engineering , big data engineering, and data analytics companies. Doing so enables companies to personalise their offerings, enhancing client satisfaction and helping make more informed decision-making processes.

ETL 52

ETL Big Data Engineer Data Ingestion Data Integration 52

Attivio

JUNE 8, 2015

Featuring self-service data discovery acceleration capabilities, this new solution solves a major issue for business intelligence professionals: significantly reducing the tremendous amount of time being spent on data before it can be analyzed. Attivio 5 will be made available for evaluation the following day, Wednesday, June 10.

Business Intelligence 40

Business Intelligence Big Data Data Discovery Data Scientist 40

IBM Journey to AI blog

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way.

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IBM Journey to AI blog

SEPTEMBER 17, 2024

Its in-memory processing helps to ensure that data is ready for quick analysis and reporting, enabling real-time what-if scenarios and reports without lag. Our solution handles massive multidimensional cubes seamlessly, enabling you to maintain a complete view of your data without sacrificing performance or data integrity.

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Big Data Metadata Business Intelligence Data Integration 100

TransOrg Analytics

AUGUST 9, 2024

Eight prominent concepts stand out: Customer Data Platforms (CDPs), Master Data Management (MDM), Data Lakes, Data Warehouses, Data Lakehouses, Data Marts, Feature Stores, and Enterprise Resource Planning (ERP). Pros: Data Consistency: Ensures consistent and accurate data across the organization.

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Machine Learning ETL Big Data Data Quality 52

Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

Data Scientist 52

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Pickl AI

JULY 19, 2024

They enhance data integrity, security, and accessibility while providing tools for efficient data management and retrieval. It serves as a robust intermediary between end-users, applications, and the underlying database, ensuring data integrity, security, accessibility, and overall efficiency.

Data Integration 52

Data Integration Metadata Big Data Business Intelligence 52

AWS Machine Learning Blog

NOVEMBER 12, 2024

Focused on addressing the challenge of agricultural data standardization, Agmatix has developed proprietary patented technology to harmonize and standardize data, facilitating informed decision-making in agriculture. For more information, refer to the Anthropic Claude prompt engineering guide.

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Generative AI Prompt Engineer Prompt Engineering AI 112

IBM Journey to AI blog

DECEMBER 16, 2022

So, instead of wandering the aisles in hopes you’ll stumble across the book, you can walk straight to it and get the information you want much faster. An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more.

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Metadata Data Quality Data Discovery Data Scientist 130

Bugra Akyildiz

JUNE 29, 2024

This week, I will cover why I think data janitor work is dying and companies that are built in on top of data janitor work could be ripe for disruption through LLMs and what to do about it. A data janitor is a person who works to take big data and condense it into useful amounts of information.

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Marktechpost

JULY 18, 2023

ETL solutions employ several data management strategies to automate the extraction, transformation, and loading (ETL) process, reducing errors and speeding up data integration. Skyvia Skyvia is a cloud data platform created by Devart that enables no-coding data integration, backup, management, and access.

ETL 52

ETL Data Integration Business Intelligence Automation 52

Marktechpost

AUGUST 27, 2024

Data analysis helps organizations make informed decisions by turning raw data into actionable insights. With businesses increasingly relying on data-driven strategies, the demand for skilled data analysts is rising. You’ll learn the fundamentals of gathering, cleaning, analyzing, and visualizing data.

Data Analysis 59

Data Analysis Python ETL Big Data 59

Pickl AI

OCTOBER 21, 2024

The primary purpose of a DBMS is to provide a systematic way to manage large amounts of data, ensuring that it is organised, accessible, and secure. By employing a DBMS, organisations can maintain data integrity, reduce redundancy, and streamline data operations, enabling more informed decision-making.

Metadata 52

Metadata Data Integration Machine Learning Algorithm 52

Towards AI

APRIL 22, 2024

Items in your shopping carts, comments on all your posts, and changing scores in a video game are examples of information stored somewhere in a database. Some of the databases in Web Technology: A database is necessary for every organization in order to organize and keep its core information. Which begs the question what is a database?

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Big Data Data Integration AI AI 81