Marktechpost

JUNE 5, 2024

You can optimize your costs by using data profiling to find any problems with data quality and content. Fixing poor data quality might otherwise cost a lot of money. The 18 best data profiling tools are listed below. It comes with an Informatica Data Explorer function to meet your data profiling requirements.

Data Quality 112

Data Quality Metadata Data Integration ETL 112

Unite.AI

NOVEMBER 13, 2024

My experience as Director of Engineering at Hortonworks exposed me to a recurring theme: companies with ambitious data strategies were struggling to find stability in their data platforms, despite significant investments in data analytics. They couldn't reliably deliver data when the business needed it most.

Machine Learning 147

Machine Learning Large Language Models Automation Data Quality 147

IBM Journey to AI blog

JUNE 12, 2023

A long-standing partnership between IBM Human Resources and IBM Global Chief Data Office (GCDO) aided in the recent creation of Workforce 360 (Wf360), a workforce planning solution using IBM’s Cognitive Enterprise Data Platform (CEDP). Data quality is a key component for trusted talent insights.

Data Quality 189

Data Quality Automation Data Ingestion Data Platform 189

AWS Machine Learning Blog

JUNE 18, 2024

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors.

Generative AI 124

Generative AI Data Ingestion Python LLM 124

IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 130

Data Quality Metadata ETL Big Data 130

Pickl AI

OCTOBER 6, 2024

It is a crucial data integration process that involves moving data from multiple sources into a destination system, typically a data warehouse. This process enables organisations to consolidate their data for analysis and reporting, facilitating better decision-making. ETL stands for Extract, Transform, and Load.

ETL 52

ETL Data Quality Data Integration Big Data 52

Unite.AI

FEBRUARY 21, 2024

Airflow provides the workflow management capabilities that are integral to modern cloud-native data platforms. Data platform architects leverage Airflow to automate the movement and processing of data through and across diverse systems, managing complex data flows and providing flexible scheduling, monitoring, and alerting.

LLM 147

LLM Data Platform Software Engineer Chatbots 147

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

TransOrg Analytics

AUGUST 9, 2024

In the realm of data management and analytics, businesses face a myriad of options to store, manage, and utilize their data effectively. Understanding their differences, advantages, and ideal use cases is crucial for making informed decisions about your data strategy.

Machine Learning 52

Machine Learning ETL Big Data Data Analysis 52

Unite.AI

OCTOBER 14, 2024

Intelligent automation tools manage data movement, backup, and compliance tasks based on set policies, ensuring consistent application, and reducing administrative burdens​. What is the outlook for AI-powered data management, and what trends do you foresee in the coming years?

ML 195

ML Data Ingestion Data Analysis Machine Learning 195

Towards AI

JANUARY 28, 2024

To start, get to know some key terms from the demo: Snowflake: The centralized source of truth for our initial data Magic ETL: Domo’s tool for combining and preparing data tables ERP: A supplemental data source from Salesforce Geographic: A supplemental data source (i.e., Instagram) used in the demo Why Snowflake?

ETL 95

ETL Python Data Platform Data Integration 95

Unite.AI

JUNE 4, 2024

Although migration work is a key component of our business, it’s the data platform engagements that really stand out when you’re talking about value to the business. This led to inconsistent data standards and made it difficult for them to gain actionable insights. The impact of these efforts was transformative.

Data Ingestion 130

Data Ingestion Data Platform Machine Learning Generative AI 130

The MLOps Blog

MARCH 15, 2023

Some of the popular cloud-based vendors are: Hevo Data Equalum AWS DMS On the other hand, there are vendors offering on-premise data pipeline solutions and are mostly preferred by organizations dealing with highly sensitive data. Dagster Supports end-to-end data management lifecycle. It supports multiple file formats.It

ETL 59

ETL Categorization Automation Data Integration 59

AWS Machine Learning Blog

AUGUST 4, 2023

As a result, businesses can accelerate time to market while maintaining data integrity and security, and reduce the operational burden of moving data from one location to another.

Data Scientist 85

Data Scientist ETL ML AI 85

IBM Journey to AI blog

OCTOBER 20, 2023

Store operating platform : Scalable and secure foundation supports AI at the edge and data integration. Get to know IBM watsonX IBM watsonx is an AI and data platform with a set of AI assistants designed to help you scale and accelerate the impact of AI with trusted data across your business.

Machine Learning 242

Machine Learning Automation AI AI 242

AWS Machine Learning Blog

DECEMBER 7, 2023

Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms. Esra Kayabalı is a Senior Solutions Architect at AWS, specializing in the analytics domain including data warehousing, data lakes, big data analytics, batch and real-time data streaming and data integration.

Convolutional Neural Networks 125

Convolutional Neural Networks Neural Network Algorithm Machine Learning 125

AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

Data Ingestion 124

Data Ingestion Metadata NLP Data Scientist 124

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.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Pickl AI

NOVEMBER 5, 2024

Tableau supports many data sources, including cloud databases, SQL databases, and Big Data platforms. Users can connect to live data or extract data for analysis, giving flexibility to those with extensive and complex datasets.

Business Intelligence 52

Business Intelligence Data Analysis Data Extraction Big Data 52

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.

Data Mining 95

Data Mining Machine Learning Data Scientist Artificial Intelligence 95

AWS Machine Learning Blog

MAY 15, 2023

His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms. He loves combining open-source projects with cloud services.

Convolutional Neural Networks 82

Convolutional Neural Networks Neural Network Metadata Data Scientist 82

Marktechpost

JULY 17, 2023

To educate self-driving cars on how to avoid killing people, the business concentrates on some of the most challenging use cases for its synthetic data platform. Its most recent development, made in partnership with the Toyota Research Institute, teaches autonomous systems about object permanence using synthetic data.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

Pickl AI

JUNE 18, 2023

Aside from cluster management, responsibilities like data integration and data quality control can be difficult for organisations that use Hadoop systems. While all of its elements can now be found in stored in the cloud big data platforms, Hadoop remains largely an on-site solution form.

Big Data 52

Big Data Machine Learning Data Analysis Data Quality 52

Pickl AI

JUNE 23, 2023

This includes ensuring data privacy, security, and compliance with ethical guidelines to avoid biases, discrimination, or misuse of data. Also Read: How Can The Adoption of a Data Platform Simplify Data Governance For An Organization?

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

Artificial Corner

JUNE 6, 2023

Cloud-based data storage solutions, such as Amazon S3 (Simple Storage Service) and Google Cloud Storage, provide highly durable and scalable repositories for storing large volumes of data. MapReduce: simplified data processing on large clusters. Data integration and ETL: techniques for data management.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

The MLOps Blog

OCTOBER 3, 2023

There was the team that I was on, where we were very intensely focused on making tools and setting up the environment for development and training for data scientists, as well as helping out with the actual productionization work. They started off as doing data integrations, and then became the ML monitoring team.

ML 52

ML Data Scientist Machine Learning Data Science 52

Pickl AI

JUNE 11, 2024

Let’s explore some key features and capabilities that empower data warehouses to transform raw data into actionable intelligence: Historical Data Integration Imagine having a single, unified platform that consolidates data from all corners of your organization – sales figures, customer interactions, marketing campaigns, and more.

ETL 52

ETL Data Mining Actionable Intelligence Data Integration 52

IBM Journey to AI blog

AUGUST 4, 2023

It’s often described as a way to simply increase data access, but the transition is about far more than that. When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard.

Machine Learning 189

Machine Learning Metadata AI AI 189

Marktechpost

NOVEMBER 1, 2024

With features like interactive visualizations, data modeling support, AI-guided search, and real-time data monitoring, it’s perfect for analysts and business users who require quick, clear insights. ThoughtSpot is a cloud-based solution that offers adjustable pricing to accommodate different requirements.

Artificial Intelligence 93

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 93