phData

NOVEMBER 4, 2024

It must integrate seamlessly across data technologies in the stack to execute various workflows—all while maintaining a strong focus on performance and governance. Two key technologies that have become foundational for this type of architecture are the Snowflake AI Data Cloud and Dataiku.

Machine Learning 69

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Pickl AI

DECEMBER 26, 2024

Elastic cloud resources enable seamless handling of large datasets and computations. AI, serverless computing, and edge technologies redefine cloud-based Data Science workflows. GCPs Vertex AI enables scalable AI development and deployment with integrated tools for Big Data Analytics.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Tableau

MAY 19, 2021

Fortunately, a modern data stack (MDS) using Fivetran, Snowflake, and Tableau makes it easier to pull data from new and various systems, combine it into a single source of truth, and derive fast, actionable insights. What is a modern data stack? Access to data. Transparency .

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Tableau Cloud Data Data Pipeline Analytics 91

Dataconomy

MAY 14, 2025

Consumer behavior is on the brink of a dramatic shift thanks to Agentic AI autonomous intelligent agents that act on behalf of users. Unlike traditional chatbots or static assistants, these AI agents can proactively navigate apps and websites, make decisions, and execute tasks end-to-end.

AI 70

AI AI Data Warehouse Data Pipeline 70

phData

JULY 17, 2023

Over the past few decades, the corporate data landscape has changed significantly. The shift from on-premise databases and spreadsheets to the modern era of cloud data warehouses and AI/ LLMs has transformed what businesses can do with data. This is where Fivetran and the Modern Data Stack come in.

Data Warehouse 52

Data Warehouse Data Pipeline Cloud Data ETL 52

ODSC - Open Data Science

JANUARY 2, 2024

We couldn’t be more excited to announce two events that will be co-located with ODSC East in Boston this April: The Data Engineering Summit and the Ai X Innovation Summit. Data Engineering Summit Our second annual Data Engineering Summit will be in-person for the first time! Learn more about them below. Why not both?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

phData

OCTOBER 11, 2024

From credit card processing and insurance underwriting to retail banking, data is reshaping the way these organizations operate. By implementing AI applications effectively, financial services companies can navigate strict regulations while achieving meaningful, value-driven outcomes. This is where AI truly shines.

AI 52

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AWS Machine Learning Blog

OCTOBER 18, 2023

Purina used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection at scale. The solution focuses on the fundamental principles of developing an AI/ML application workflow of data preparation, model training, model evaluation, and model monitoring.

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phData

APRIL 28, 2025

Well start by breaking down what a Matillion pipeline is, then dive into some best practices to keep your workflows clean, scalable, and easy to maintain. As a bonus, well check out Matillions AI Copilot and see how AI can help take workflow design to the next level. pending review, required validation, confirmed logic).

AI 52

AI AI SQL ETL 52

Tableau

MAY 19, 2021

Fortunately, a modern data stack (MDS) using Fivetran, Snowflake, and Tableau makes it easier to pull data from new and various systems, combine it into a single source of truth, and derive fast, actionable insights. What is a modern data stack? Access to data. Transparency .

Tableau 52

Tableau Cloud Data Data Pipeline Analytics 52

IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

AI 74

AI AI Machine Learning Machine Learning 74

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

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Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development.

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AWS Machine Learning Blog

FEBRUARY 23, 2023

Amazon SageMaker Ground Truth is a fully managed data labeling service that provides flexibility to build and manage custom workflows. With Ground Truth, you can label image, video, and point cloud data for object detection, object tracking, and semantic segmentation tasks.

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Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

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phData

NOVEMBER 28, 2023

In July 2023, Matillion launched their fully SaaS platform called Data Productivity Cloud, aiming to create a future-ready, everyone-ready, and AI-ready environment that companies can easily adopt and start automating their data pipelines coding, low-coding, or even no-coding at all.

Data Warehouse 52

Data Warehouse Data Pipeline ETL Azure 52

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. Data Pipeline Automation. Advanced Tooling.

Data Governance 52

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ODSC - Open Data Science

FEBRUARY 6, 2024

This open-source streaming platform enables the handling of high-throughput data feeds, ensuring that data pipelines are efficient, reliable, and capable of handling massive volumes of data in real-time. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

phData

JANUARY 19, 2024

Matillion’s Data Productivity Cloud is a versatile platform designed to increase the productivity of data teams. It provides a unified platform for creating and managing data pipelines that are effective for both coders and non-coders.

Data Pipeline 52

Data Pipeline Data Warehouse ETL Azure 52

Alation

JUNE 21, 2022

Over time, we called the “thing” a data catalog , blending the Google-style, AI/ML-based relevancy with more Yahoo-style manual curation and wikis. Thus was born the data catalog. In our early days, “people” largely meant data analysts and business analysts. Data engineers want to catalog data pipelines.

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Precisely

MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. As enterprise technology landscapes grow more complex, the role of data integration is more critical than ever before.

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Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. The Cloud Data Migration Challenge. Data pipeline orchestration.

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Precisely

JUNE 2, 2023

Gartner estimates that 85% percent of organizations plan to fully embrace a cloud-first strategy by 2025. Innovators in the industry understand that leading-edge technologies such as AI and machine learning will be a deciding factor in the quest for competitive advantage when moving to the cloud.

Data Silos 52

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phData

SEPTEMBER 2, 2024

Best practices are a pivotal part of any software development, and data engineering is no exception. This ensures the data pipelines we create are robust, durable, and secure, providing the desired data to the organization effectively and consistently. Below are the best practices. What are Matillion's limitations?

ETL 52

ETL Data Warehouse SQL Database 52

Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. But good data—and actionable insights—are hard to get. What is Salesforce Data Cloud for Tableau?

Tableau 55

Tableau Data Warehouse Data Pipeline Data Visualization 55

Precisely

FEBRUARY 10, 2023

Advanced analytics and AI/ML continue to be hot data trends in 2023. According to a recent IDC study, “executives openly articulate the need for their organizations to be more data-driven, to be ‘data companies,’ and to increase their enterprise intelligence.”

DataOps 52

DataOps Data Observability ML ML 52

phData

JULY 18, 2024

Large manufacturers are starting to use computer vision artificial intelligence (AI) to detect defects cheaper and more efficiently than using human eyes. AI can be trained to determine even the most subtle defects in products while being available 24 hours a day, seven days a week.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Data Engineering 52

phData

APRIL 23, 2024

At phData, we’re lucky to work with a wide range of customers spanning multiple verticals to solve their toughest data and AI challenges. Designing New Data Pipelines Takes a Considerable Amount of Time and Knowledge Designing new ingestion pipelines is a complex undertaking that demands significant time and expertise.

Data Governance 52

Data Governance Data Pipeline Data Warehouse Cloud Data 52

phData

AUGUST 14, 2024

Fivetran for its ability to move data between so many different sources and targets easily, and Coalesce for its powerful yet simple-to-use platform for transforming data within the Snowflake AI Data Cloud. It provides businesses with an efficient way to move and centralize data from all their sources.

Data Warehouse 52

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phData

OCTOBER 17, 2023

Fivetran also takes care of all the manual elements of building and maintaining a data pipeline that is not business-related so that data teams don’t have to. With these resources now freed up, data organizations can focus on higher-priority activities such as AI/LLM models.

ETL 52

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Precisely

JANUARY 18, 2024

And, they’re still a key element of the infrastructure that makes private clouds possible at many organizations. Instead of performing major surgery on their critical business systems, enterprises are opting for real-time data integration built around inherently reliable and scalable change data capture (CDC) technology.

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phData

SEPTEMBER 18, 2024

As data and AI continue to dominate today’s marketplace, the ability to securely and accurately process and centralize that data is crucial to an organization’s long-term success. Fivetran’s Hybrid Architecture allows an organization to maintain ownership and control of its data through the entire data pipeline.

Data Warehouse 52

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phData

JUNE 26, 2024

Cleaning and preparing the data Raw data typically shouldn’t be used in machine learning models as it’ll throw off the prediction. This can be achieved by, you guessed it, analyzing the data. phData Retail Case Study phData helps many retail businesses answer these questions and more by utilizing their data to the fullest.

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineering 52

Alation

APRIL 4, 2023

However, the race to the cloud has also created challenges for data users everywhere, including: Cloud migration is expensive, migrating sensitive data is risky, and navigating between on-prem sources is often confusing for users. To build effective data pipelines, they need context (or metadata) on every source.

DataOps 52

DataOps Data Engineering Data Engineering Data Engineering 52

AWS Machine Learning Blog

APRIL 12, 2023

The PdMS includes AWS services to securely manage the lifecycle of edge compute devices and BHS assets, cloud data ingestion, storage, machine learning (ML) inference models, and business logic to power proactive equipment maintenance in the cloud. Outside of work, Fauzan enjoys spending time in nature.

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phData

FEBRUARY 21, 2024

Matillion’s Data Productivity Cloud is a versatile platform designed to increase the productivity of data teams. It provides a unified platform for creating and managing data pipelines that are effective for both coders and non-coders. Please contact our team for assistance in accomplishing this goal.

Data Pipeline 52

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Precisely

MAY 23, 2024

Whatever your approach may be, enterprise data integration has taken on strategic importance. Artificial intelligence (AI) algorithms are trained to detect anomalies. Today’s enterprises need real-time or near-real-time performance, depending on the specific application. Timing matters.

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