AWS Machine Learning Blog

DECEMBER 4, 2024

Through simple conversations, business teams can use the chat agent to extract valuable insights from both structured and unstructured data sources without writing code or managing complex data pipelines. This will provision the backend infrastructure and services that the sales analytics application will rely on.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Data Science Analytics Analytics Data Scientist 94

Dataconomy

JULY 29, 2024

Hosted at one of Mindspace’s coworking locations, the event was a convergence of insightful talks and professional networking. Mindspace , a global coworking and flexible office provider with over 45 locations worldwide, including 13 in Germany, offered a conducive environment for this knowledge-sharing event.

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AWS Machine Learning Blog

APRIL 3, 2025

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. The robust security features provided by Amazon S3, including encryption and durability, were used to provide data protection.

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AWS Data Governance Data Silos SQL 89

Dataconomy

MAY 16, 2025

Six core principles of a realtime streaming pipeline Drawing on Matus Tomleins stepbystep Implementation Guide: Building an AIReady Data Pipeline Architecture , you can anchor any streaming stack around six nonnegotiables: Explicit data requirements. Schemafirst design. Robust ingestion. Duallayer storage.

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ODSC - Open Data Science

JANUARY 9, 2024

Data Observability and Monitoring Data observability is the ability to monitor and troubleshoot data pipelines. Data monitoring is the process of collecting and analyzing data about data pipelines to identify and resolve problems. Interested in attending an ODSC event?

Data Engineering 97

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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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AWS Machine Learning Blog

FEBRUARY 5, 2025

The following diagram illustrates the data pipeline for indexing and query in the foundational search architecture. The listing writer microservice publishes listing change events to an Amazon Simple Notification Service (Amazon SNS) topic, which an Amazon Simple Queue Service (Amazon SQS) queue subscribes to.

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K-nearest Neighbors Machine Learning Machine Learning Database 88

phData

SEPTEMBER 5, 2023

Google Analytics 4 (GA4) is a powerful tool for collecting and analyzing website and app data that many businesses rely heavily on to make informed business decisions. However, there might be instances where you need to migrate the raw event data from GA4 to Snowflake for more in-depth analysis and business intelligence purposes.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

If the question was Whats the schedule for AWS events in December?, AWS usually announces the dates for their upcoming # re:Invent event around 6-9 months in advance. Rajesh Nedunuri is a Senior Data Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team.

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Tableau

MAY 19, 2021

Retailers are also dealing with online shopping surges that add new complexities to existing data strategies due to an influx of raw, unprepped, and largely underutilized data. . Analytics agility is a competitive advantage in retail today—and it will be table stakes for retail success tomorrow. What is a modern data stack?

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Tableau Cloud Data Data Pipeline Analytics 91

Smart Data Collective

SEPTEMBER 19, 2022

billion on financial analytics by 2030. And Big Data is one such excellent opportunity ! Big Data is the collection and processing of huge volumes of different data types, which financial institutions use to gain insights into their business processes and make key company decisions. Improving Risk Assessment.

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Big Data Big Data Big Data Analytics Big Data Analytics 145

AWS Machine Learning Blog

MARCH 1, 2023

This post is co-written with Suhyoung Kim, General Manager at KakaoGames Data Analytics Lab. The result of these events can be evaluated afterwards so that they make better decisions in the future. With this proactive approach, Kakao Games can launch the right events at the right time. However, this approach is reactive.

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AWS Machine Learning Blog

MARCH 14, 2024

In this post we highlight how the AWS Generative AI Innovation Center collaborated with the AWS Professional Services and PGA TOUR to develop a prototype virtual assistant using Amazon Bedrock that could enable fans to extract information about any event, player, hole or shot level details in a seamless interactive manner.

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SQL AWS AI AI 135

phData

MAY 3, 2024

Leveraging real-time analytics to make informed decisions is the golden standard for virtually every business that collects data. 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.

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IBM Journey to AI blog

AUGUST 12, 2024

Whereas AIOps is a comprehensive discipline that includes a variety of analytics and AI initiatives that are aimed at optimizing IT operations, MLOps is specifically concerned with the operational aspects of ML models, promoting efficient deployment, monitoring and maintenance.

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IBM Journey to AI blog

NOVEMBER 3, 2023

Apache Kafka and Apache Flink working together Anyone who is familiar with the stream processing ecosystem is familiar with Apache Kafka: the de-facto enterprise standard for open-source event streaming. Apache Kafka streams get data to where it needs to go, but these capabilities are not maximized when Apache Kafka is deployed in isolation.

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Apache Kafka Data Warehouse Data Pipeline Big Data 79

IBM Data Science in Practice

MARCH 8, 2023

— Features In machine learning, a feature is data that is used as the input for ML models to make predictions. Source: Advancing Analytics Data scientists and data engineers often spend a large amount of their time crafting features, as they are the basic building blocks of datasets. Spark, Flink, etc.)

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Data Science Dojo

JULY 3, 2024

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Career Support Some bootcamps include job placement services like resume assistance, mock interviews, networking events, and partnerships with employers to aid in job placement.

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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

DECEMBER 20, 2023

Whether logs are coming from Amazon Web Services (AWS), other cloud providers, on-premises, or edge devices, customers need to centralize and standardize security data. After the security log data is stored in Amazon Security Lake, the question becomes how to analyze it. Deploy the trained ML model to a SageMaker inference endpoint.

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Smart Data Collective

AUGUST 17, 2022

Kafka And ETL Processing: You might be using Apache Kafka for high-performance data pipelines, stream various analytics data, or run company critical assets using Kafka, but did you know that you can also use Kafka clusters to move data between multiple systems.

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Dataconomy

MAY 14, 2025

That means feeding them streams of high-quality information about user actions, events, and context in real time. So, what exactly is AI-ready data? Simply put, AI-ready data is structured, high-quality information that can be easily used to train machine learning models and run AI applications with minimal engineering effort .

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ODSC - Open Data Science

APRIL 4, 2024

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega, and ODSC East Selling Out Soon Data Analytics in the Age of AI Let’s explore the multifaceted ways in which AI is revolutionizing data analytics, making it more accessible, efficient, and insightful than ever before.

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Data Visualization Analytics Analytics Big Data Analytics 52

IBM Journey to AI blog

SEPTEMBER 4, 2024

Apache Kafka is an open-source , distributed streaming platform that allows developers to build real-time, event-driven applications. With Apache Kafka, developers can build applications that continuously use streaming data records and deliver real-time experiences to users.

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Apache Kafka Internet of Things Data Pipeline Clustering 58

IBM Journey to AI blog

AUGUST 29, 2024

Event-driven businesses across all industries thrive on real-time data, enabling companies to act on events as they happen rather than after the fact. Flink jobs, designed to process continuous data streams, are key to making this possible. They are able to adapt to changing demands quickly to seize new opportunities.

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The MLOps Blog

FEBRUARY 5, 2023

In the later part of this article, we will discuss its importance and how we can use machine learning for streaming data analysis with the help of a hands-on example. What is streaming data? A streaming data pipeline is an enhanced version which is able to handle millions of events in real-time at scale.

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ODSC - Open Data Science

JANUARY 30, 2024

Not only does it involve the process of collecting, storing, and processing data so that it can be used for analysis and decision-making, but these professionals are responsible for building and maintaining the infrastructure that makes this possible; and so much more. Think of data engineers as the architects of the data ecosystem.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

OCTOBER 18, 2023

AWS Lambda is an event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers. Rushikesh Jagtap is a Solutions Architect with 5+ years of experience in AWS Analytics services.

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ODSC - Open Data Science

JUNE 19, 2023

As the name suggests, real-time operating systems (RTOS) handle real-time applications that undertake data and event processing under a strict deadline. For big data to harness these sources, it is important to have the ability to integrate data and make them interoperable across different sources.

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phData

APRIL 29, 2024

In our previous blog, Top 5 Fivetran Connectors for Financial Services , we explored Fivetran’s capabilities that address the data integration needs of the finance industry. Now, let’s cover the healthcare industry, which also has a surging demand for data and analytics, along with the underlying processes to make it happen.

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SQL Data Warehouse Azure Cloud Data 52

ODSC - Open Data Science

OCTOBER 15, 2023

Institute of Analytics The Institute of Analytics is a non-profit organization that provides data science and analytics courses, workshops, certifications, research, and development. The courses and workshops cover a wide range of topics, from basic data science concepts to advanced machine learning techniques.

Machine Learning 52

Machine Learning Machine Learning Data Pipeline AI 52

Tableau

MAY 19, 2021

Retailers are also dealing with online shopping surges that add new complexities to existing data strategies due to an influx of raw, unprepped, and largely underutilized data. . Analytics agility is a competitive advantage in retail today—and it will be table stakes for retail success tomorrow. What is a modern data stack?

Tableau 52

Tableau Cloud Data Data Pipeline Analytics 52

Ocean Protocol

NOVEMBER 28, 2024

Introduction The Formula 1 Prediction Challenge: 2024 Mexican Grand Prix brought together data scientists to tackle one of the most dynamic aspects of racing — pit stop strategies. With every second on the track critical, the challenge showcased how data can shape decisions that define race outcomes.

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Cross Validation Data Scientist Decision Trees Data Science 85

Pickl AI

NOVEMBER 4, 2024

Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. It involves developing data pipelines that efficiently transport data from various sources to storage solutions and analytical tools. ETL is vital for ensuring data quality and integrity.

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ODSC - Open Data Science

FEBRUARY 6, 2024

Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer. 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.

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Data Engineering Data Engineering Data Engineer Data Engineering 52

Precisely

SEPTEMBER 12, 2023

As a proud member of the Connect with Confluent program , we help organizations going through digital transformation and IT infrastructure modernization break down data silos and power their streaming data pipelines with trusted data. Let’s cover some additional information to know before attending.

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