Smart Data Collective

SEPTEMBER 8, 2021

A lot of Open-Source ETL tools house a graphical interface for executing and designing Data Pipelines. It can be used to manipulate, store, and analyze data of any structure. It generates Java code for the Data Pipelines instead of running Pipeline configurations through an ETL Engine. Conclusion.

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Heartbeat

NOVEMBER 6, 2023

Image Source —  Pixel Production Inc In the previous article, you were introduced to the intricacies of data pipelines, including the two major types of existing data pipelines. You might be curious how a simple tool like Apache Airflow can be powerful for managing complex data pipelines.

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AWS Machine Learning Blog

APRIL 5, 2024

Solution workflow In this section, we discuss how the different components work together, from data acquisition to spatial modeling and forecasting, serving as the core of the UHI solution. Now, with the specialized geospatial container in SageMaker, managing and running clusters for geospatial processing has become more straightforward.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

Solution overview In brief, the solution involved building three pipelines: Data pipeline – Extracts the metadata of the images Machine learning pipeline – Classifies and labels images Human-in-the-loop review pipeline – Uses a human team to review results The following diagram illustrates the solution architecture.

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BAIR

FEBRUARY 17, 2024

Please provide this image (and any other images and GIFs) in the blog to the BAIR Blog editors directly. The `static/blog` directory is a location on the blog server which permanently stores the images/GIFs in BAIR Blog posts. The text directly below gets tweets to work. Please adjust according to your post.

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Flipboard

AUGUST 17, 2023

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. Here we use RedshiftDatasetDefinition to retrieve the dataset from the Redshift cluster. We attached the IAM role to the Redshift cluster that we created earlier.

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AWS Machine Learning Blog

OCTOBER 23, 2024

As an active contributor to the emerging fields of Generative AI and Edge AI, Asheesh shares his knowledge and insights through tech blogs and as a speaker at various industry conferences and forums. He currently is working on Generative AI for data integration. Dhawal Patel is a Principal Machine Learning Architect at AWS.

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phData

NOVEMBER 9, 2023

This blog was originally written by Keith Smith and updated for 2024 by Justin Delisi. Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. Snowflake also acts as a serverless compute layer, where the virtual warehouses being used to do work can be turned on or off many times over the course of the day.

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The MLOps Blog

MARCH 15, 2023

In this post, you will learn about the 10 best data pipeline tools, their pros, cons, and pricing. A typical data pipeline involves the following steps or processes through which the data passes before being consumed by a downstream process, such as an ML model training process.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

PII Detected tagged documents are fed into Logikcull’s search index cluster for their users to quickly identify documents that contain PII entities. The request is handled by Logikcull’s application servers hosted on Amazon EC2 and the servers communicates with the search index cluster to find the documents.

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phData

DECEMBER 4, 2023

This blog was originally written by Erik Hyrkas and updated for 2024 by Justin Delisi This isn’t meant to be a technical how-to guide — most of those details are readily available via a quick Google search — but rather an opinionated review of key processes and potential approaches. In this case, the max cluster count should also be two.

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Clustering Database SQL Data Pipeline 98

Pickl AI

MAY 15, 2024

Dreaming of a Data Science career but started as an Analyst? This guide unlocks the path from Data Analyst to Data Scientist Architect. But the allure of tackling large-scale projects, building robust models for complex problems, and orchestrating data pipelines might be pushing you to transition into Data Science architecture.

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AWS Machine Learning Blog

SEPTEMBER 18, 2023

With Ray and AIR, the same Python code can scale seamlessly from a laptop to a large cluster. It’s a programming model that allows you to create distributed objects that maintain an internal state and can be accessed concurrently by multiple tasks running on different nodes in a Ray cluster.

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AWS Machine Learning Blog

DECEMBER 15, 2023

In this post, we discuss how to bring data stored in Amazon DocumentDB into SageMaker Canvas and use that data to build ML models for predictive analytics. Without creating and maintaining data pipelines, you will be able to power ML models with your unstructured data stored in Amazon DocumentDB.

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Data Science Dojo

JULY 3, 2024

In this blog, we will explore the arena of data science bootcamps and lay down a guide for you to choose the best data science bootcamp. What do Data Science Bootcamps Offer? Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning.

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Iguazio

JUNE 25, 2023

In this blog post, we dive into all aspects of ML model performance: which metrics to use to measure performance, best practices that can help and where MLOps fits in. ML model evaluation is an essential part of the MLOps pipeline. It quantifies how well each sample fits within its assigned cluster compared to other clusters.

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The MLOps Blog

JUNE 27, 2023

It provides tools and components to facilitate end-to-end ML workflows, including data preprocessing, training, serving, and monitoring. Kubeflow integrates with popular ML frameworks, supports versioning and collaboration, and simplifies the deployment and management of ML pipelines on Kubernetes clusters.

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Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Read more to know. Cloud Platforms: AWS, Azure, Google Cloud, etc.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Learning means identifying and capturing historical patterns from the data, and inference means mapping a current value to the historical pattern. The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

Hosted on Amazon ECS with tasks run on Fargate, this platform streamlines the end-to-end ML workflow, from data ingestion to model deployment. This blog post delves into the details of this MLOps platform, exploring how the integration of these tools facilitates a more efficient and scalable approach to managing ML projects.

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IBM Journey to AI blog

SEPTEMBER 4, 2024

Kafka helps simplify the communication between customers and businesses, using its data pipeline to accurately record events and keep records of orders and cancellations—alerting all relevant parties in real-time.

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phData

MARCH 26, 2024

What insights could you derive from having your transactional and analytical data in one place? In this blog, we’ll go over what Hybrid tables are, how they differ from standard Snowflake tables, and some real-world scenarios where using Hybrid tables in your Snowflake account would be beneficial. appeared first on phData.

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Pickl AI

JUNE 7, 2024

At the heart of this process lie ETL Tools—Extract, Transform, Load—a trio that extracts data, tweaks it, and loads it into a destination. Choosing the right ETL tool is crucial for smooth data management. This blog will delve into ETL Tools, exploring the top contenders and their roles in modern data integration.

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AWS Machine Learning Blog

APRIL 19, 2023

Then we needed to Dockerize the application, write a deployment YAML file, deploy the gRPC server to our Kubernetes cluster, and make sure it’s reliable and auto scalable. After reading a few blog posts and DJL’s official documentation, we were sure DJL would provide the best solution to our problem.

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phData

MAY 3, 2024

If you have the Snowflake Data Cloud (or are considering migrating to Snowflake ), you’re a blog away from taking a step closer to real-time analytics. In this blog, we’ll show you step-by-step how to achieve real-time analytics with Snowflake via the Kafka Connector and Snowpipe.

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phData

APRIL 18, 2023

Data, technology, and improved trade execution could all be utilized by businesses to increase investment returns, spur innovation, and provide better investor experiences. Data movements lead to high costs of ETL and rising data management TCO.

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phData

AUGUST 10, 2023

In this blog, our focus will be on exploring the data lifecycle along with several Design Patterns, delving into their benefits and constraints. Data architects can leverage these patterns as starting points or reference models when designing and implementing data vault architectures.

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DagsHub

JANUARY 14, 2025

Artifacts due to data augmentation: In NLP processes, data augmentation techniques like back translation and synonym replacement can sometimes inadvertently introduce near duplicate data points. Image data Datasets naturally contain duplicate images due to several interrelated processes. Clustering Techniques (e.g.,

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Heartbeat

JANUARY 5, 2024

Introduction to LangChain for Including AI from Large Language Models (LLMs) Inside Data Applications and Data Pipelines This article will provide an overview of LangChain, the problems it addresses, its use cases, and some of its limitations. Python : Great for including AI in Python-based software or data pipelines.

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phData

FEBRUARY 5, 2024

In this blog, we’re going to answer these questions and more. Walking you through the biggest challenges we have found when migrating our customer’s data from a legacy system to Snowflake. You’re in luck because this blog is for anyone ready to move or thinking about moving to Snowflake who wants to know what’s in store for them.

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The MLOps Blog

MARCH 28, 2024

We’ll explore how factors like batch size, framework selection, and the design of your data pipeline can profoundly impact the efficient utilization of GPUs. One way to lower the percentage here is to increase the batch size so that the GPU spends less time fetching the data. The pipeline involves several steps.

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Pickl AI

JULY 30, 2024

With its user-friendly interface and robust architecture, NiFi simplifies the complexities of data integration, making it an essential component for modern data-driven enterprises. This blog delves into the fundamentals of Apache NiFi, its architecture, and how it can leverage for effective data flow management.

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Iguazio

JANUARY 16, 2024

The system’s architecture ensures the data flows through the different systems effectively. First, the data lake is fed from a number of data sources. These include conversational data, ATS Data and more. Sense onboarded Iguazio as an MLOps solution for the ML training and serving component of the pipeline.

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Mlearning.ai

FEBRUARY 6, 2023

Use SageMaker Processing Jobs to easily run inference on your large Dataset with Hugging Face’s Transformer Models Photo by Alex Kulikov on Unsplash This blog will give you a complete walk through of running a distributed batch inference on large data in production. It also requires a minimum change in our existing code.

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Iguazio

JANUARY 16, 2024

The system’s architecture ensures the data flows through the different systems effectively. First, the data lake is fed from a number of data sources. These include conversational data, ATS data, and more. Sense onboarded Iguazio as an MLOps platform for the ML training and serving component of the pipeline.

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ML ML DataOps Data Scientist 52

phData

MARCH 29, 2024

In this blog, we’ll explore the phData Toolkit, why the Advisor Tool is an integral part of it, and the top 5 use cases for the Advisor Tool. While working on many data engineering projects, phData found patterns of issues that would come up regularly when migrating clients’ data. What is the phData Toolkit?

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IBM Journey to AI blog

JULY 1, 2024

Whenever anyone talks about data lineage and how to achieve it, the spotlight tends to shine on automation. This is expected, as automating the process of calculating and establishing lineage is crucial to understanding and maintaining a trustworthy system of data pipelines. Contact your IBM representative for more information.

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