AWS Machine Learning Blog

MARCH 11, 2024

The new VistaPrint personalized product recommendation system Figure 1 As seen in Figure 1, the steps in how VistaPrint provides personalized product recommendations with their new cloud-native architecture are: Aggregate historical data in a data warehouse. Transform the data to create Amazon Personalize training data.

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Flipboard

JANUARY 24, 2025

RAG data store The Retrieval Augmented Generation (RAG) data store delivers up-to-date, precise, and access-controlled knowledge from various data sources such as data warehouses, databases, and other software as a service (SaaS) applications through data connectors.

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Dataversity

APRIL 30, 2021

The goal of digital transformation remains the same as ever – to become more data-driven. We have learned how to gain a competitive advantage by capturing business events in data. Events are data snap-shots of complex activity sourced from the web, customer systems, ERP transactions, social media, […].

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Dataconomy

SEPTEMBER 4, 2023

Diagnostic analytics: Diagnostic analytics goes a step further by analyzing historical data to determine why certain events occurred. By understanding the “why” behind past events, organizations can make informed decisions to prevent or replicate them. Ensure that data is clean, consistent, and up-to-date.

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AWS Machine Learning Blog

JANUARY 6, 2023

TR has a wealth of data that could be used for personalization that has been collected from customer interactions and stored within a centralized data warehouse. The user interactions data from various sources is persisted in their data warehouse. The following diagram illustrates the ML training pipeline.

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ODSC - Open Data Science

DECEMBER 5, 2024

And, for the tenth anniversary of ODSC East , we are pulling out all of the stops with new tracks, new events, and even a new location. New Networking Events At ODSC West this past November, we had the privilege of hosting a highly successful Hackathon with NVIDIA. So what can you expect from ODSC East 2025, May 1315 in Boston?

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Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation.

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Tableau

JANUARY 18, 2023

Connect and learn at the developer event of year, TrailblazerDX on March 7-8, 2023. Members of the community can connect with DataDev ambassadors through the DataDev Slack instance and User Groups, but also at any of our DataDev events. She is also one of the organizers of the Data + Women Netherlands community. "I

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ODSC - Open Data Science

MAY 7, 2024

In this episode, James Serra, author of “Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh” joins us to discuss his book and dive into the current state and possible future of data architectures. Interested in attending an ODSC event?

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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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Smart Data Collective

OCTOBER 13, 2021

Some solutions provide read and write access to any type of source and information, advanced integration, security capabilities and metadata management that help achieve virtual and high-performance Data Services in real-time, cache or batch mode. How does Data Virtualization complement Data Warehousing and SOA Architectures?

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Dataconomy

JUNE 1, 2023

By automating the integration of all Fabric workloads into OneLake, Microsoft eliminates the need for developers, analysts, and business users to create their own data silos. This approach not only improves performance by eliminating the need for separate data warehouses but also results in substantial cost savings for customers.

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phData

DECEMBER 14, 2023

A Composable CDP is a new technical architecture for how businesses manage and activate their customer data for marketing programs. The Composable CDP transforms an existing cloud data warehouse, like the Snowflake Data Cloud , into the central repository of customer data in a company. How was phData Selected?

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IBM Journey to AI blog

MAY 9, 2023

We are also building models trained on different types of business data, including code, time-series data, tabular data, geospatial data and IT events data. With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs.

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DataRobot Blog

MARCH 8, 2023

Every modern enterprise has a unique set of business data collected as part of their sales, operations, and management processes. Registration is free for both events. 16 th and on-demand Visit datarobot.com/partners/technology-partners/sap DataRobot Launch Event From Vision to Value. Tune in to learn more.

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AWS Machine Learning Blog

APRIL 3, 2025

Lambda enables serverless, event-driven data processing tasks, allowing for real-time transformations and calculations as data arrives. Step Functions complements this by orchestrating complex workflows, coordinating multiple Lambda functions, and managing error handling for sophisticated data processing pipelines.

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Tableau

JANUARY 18, 2023

Connect and learn at the developer event of year, TrailblazerDX on March 7-8, 2023. Members of the community can connect with DataDev ambassadors through the DataDev Slack instance and User Groups, but also at any of our DataDev events. She is also one of the organizers of the Data + Women Netherlands community. "I

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Smart Data Collective

NOVEMBER 18, 2020

Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. Every Data Scientist needs to know Data Mining as well, but about this moment we will talk a bit later. Where to Use Data Science? Data Mining is an important research process. Practical experience.

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Towards AI

FEBRUARY 13, 2023

Upcoming Community Events The Learn […] The steps involved include obtaining a list of texts to search, embedding the archive of questions, converting the embeddings into indexes, and others. Enjoy these papers and news summaries? Get a daily recap in your inbox! The Learn AI Together Community section!

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phData

MARCH 7, 2023

Note: Recommended to only edit the configuration marked as TODO gg.target=snowflake #The Snowflake Event Handler #TODO: Edit JDBC ConnectionUrl gg.eventhandler.snowflake.connectionURL=jdbc:snowflake://.snowflakecomputing.com/?warehouse= The S3 Event Handler #TODO: Edit the AWS region #gg.eventhandler.s3.region= snowflakecomputing.com/?warehouse=

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IBM Journey to AI blog

OCTOBER 30, 2023

Thus, DB2 PureScale on AWS equips this insurance company to innovate and make data-driven decisions rapidly, maintaining a competitive edge in a saturated market. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

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phData

FEBRUARY 3, 2023

More and more businesses are looking to better leverage their outsourced call center data to make more data-driven decisions. To do this on your own, you would need to create a data warehouse, optimize the reporting performance, and very clearly visualize the data. How Does Snowflake Help with Call Centers?

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Mlearning.ai

MAY 16, 2023

It is used to extract data from various sources, transform the data to fit a specific data model or schema, and then load the transformed data into a target system such as a data warehouse or a database. In the extraction phase, the data is collected from various sources and brought into a staging area.

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IBM Journey to AI blog

SEPTEMBER 11, 2023

Watsonx.data on AWS: Imagine having the power of data at your fingertips. watsonx.data is a software-as-a-service (SaaS) offering that revolutionizes data management. Join IBM and AWS experts at IBM TechXchange Conference 2023 , the premier learning event for developers, engineers, and IT practitioners.

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Tableau

MARCH 9, 2021

We all missed meeting in-person this year—that real-life connection is hard to replace for relationship-building, fast decision making, and having a little social time together—but heard great feedback across all three Theaters about this year’s digital event. Despite all the headwinds, we are persisting and growing together.

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phData

MARCH 7, 2023

This SDK allows you to directly connect to your Snowflake Data Warehouse and create a mapping of values and rows that need to be inserted. Once this step is complete, you can then insert the data. First, the best use case for Snowflake’s Streaming API is any piece of streaming or messaging data.

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Smart Data Collective

JULY 20, 2021

10 Panoply: In the world of CRM technology, Panoply is a data warehouse build that automates data collection, query optimization and storage management. This tool will help you to sync and store data from multiple sources quickly. With this tool, data transfer is faster and dynamic.

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Smart Data Collective

FEBRUARY 20, 2022

On the one hand, the use of agents allows you to actively monitor and respond to events. A promising trend is the refinement of these systems’ UBA functionality through machine learning methods that help analyze chains of events, establish baseline activity patterns, and find deviations from normal user behavior.

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Precisely

JUNE 24, 2024

They are working through organizational design challenges while also establishing foundational data management capabilities like metadata management and data governance that will allow them to offer trusted data to the business in a timely and efficient manner for analytics and AI.”

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Dataconomy

APRIL 27, 2023

What is an online transaction processing database: Indexed data sets are used for rapid querying in OLTP systems Regular & incremental backups for data safety Frequent backups are necessary to ensure that data is protected in the event of a system failure or other issue.

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Mlearning.ai

FEBRUARY 16, 2023

The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency. In this article, you’ll discover what a Snowflake data warehouse is, its pros and cons, and how to employ it efficiently.

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Hacker News

AUGUST 27, 2024

Batch-processing systems that process data rows in batch (mainly via SQL ). Examples include real-time and data warehouse systems that power Meta’s AI and analytics workloads. Data annotation can be done at various levels of granularity, including table, column, row, or potentially even cell.

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phData

MARCH 11, 2024

For years, marketing teams across industries have turned to implementing traditional Customer Data Platforms (CDPs) as separate systems purpose-built to unlock growth with first-party data. Event Tracking : Capturing behavioral events such as page views, add-to-cart, signup, purchase, subscription, etc.

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phData

APRIL 29, 2024

Recognizing these specific needs, Fivetran has developed a range of connectors, including dedicated applications, databases, files, and events, which can accommodate the diverse formats used by healthcare systems. Addressing these needs may pose challenges that lead to the implementation of custom solutions rather than a uniform approach.

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DataRobot Blog

FEBRUARY 28, 2023

For our joint solution with Snowflake, this means that code-first users can use DataRobot’s hosted Notebooks as the interface and Snowpark processes the data directly in the data warehouse. launch event on March 16th. Register here to be part of this virtual event.

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phData

OCTOBER 9, 2024

In this blog, we’ll explain the best ways to utilize pharmaceutical supply chain data, what insights can be derived from it, and why Snowflake AI Data Cloud is the best cloud-based data warehouse to land all your data.

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Pickl AI

JULY 25, 2024

Must Read Blogs: Exploring the Power of Data Warehouse Functionality. Data Lakes Vs. Data Warehouse: Its significance and relevance in the data world. Exploring Differences: Database vs Data Warehouse. It is commonly used in data warehouses for business analytics and reporting.

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