databricks

JUNE 4, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

AWS 130

AWS AI AI Data Science 130

Data Science Dojo

SEPTEMBER 6, 2023

M aintaining the security and governance of data within a data warehouse is of utmost importance. Data Security: A Multi-layered Approach In data warehousing, data security is not a single barrier but a well-constructed series of layers, each contributing to protecting valuable information.

Data Warehouse 195

Data Warehouse Data Governance Data Quality ETL 195

databricks

JUNE 14, 2023

It's been only 18 months since we announced Databricks SQL general availability - the serverless data warehouse on the Lakehouse - and we.

SQL 130

SQL Data Warehouse AI AI 130

ODSC - Open Data Science

SEPTEMBER 27, 2023

In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management. Schema Enforcement: Data warehouses use a “schema-on-write” approach.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

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.

Apache Kafka 91

Apache Kafka Data Pipeline Data Warehouse ETL 91

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.

AWS 129

AWS Machine Learning Machine Learning Data Warehouse 129

Dataconomy

MAY 26, 2025

Aggregation of data: Compiling relevant business data from various sources. Data cleansing and integration: Ensuring data quality through processes that contribute to a centralized data repository (data warehouse or data mart).

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

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.

AWS 96

AWS Data Warehouse ML ML 96

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.

AWS 159

AWS AI AI Data Warehouse 159

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.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

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, […].

Data Pipeline 98

Data Pipeline Data Warehouse Data Governance Data Quality 98

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.

Data Warehouse 98

Data Warehouse Azure SQL ETL 98

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?

Data Warehouse 40

Data Warehouse AI AI Data Visualization 40

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

Tableau 117

Tableau Data Warehouse Analytics Analytics 117

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?

Data Visualization 145

Data Visualization Big Data Big Data Predictive Analytics 145

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.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

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?

Data Warehouse 52

Data Warehouse Data Lakes Data Science Big Data 52

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.

Apache Kafka 79

Apache Kafka Data Warehouse Data Pipeline Big Data 79

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.

AWS 86

AWS Data Governance Data Silos SQL 86

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.

AI 110

AI AI Data Warehouse Machine Learning 110

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.

Machine Learning 105

Machine Learning Machine Learning ML ML 105

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?

Data Warehouse 52

Data Warehouse Cloud Data 52

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

Tableau 98

Tableau Data Warehouse Analytics Analytics 98

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.

Data Mining 144

Data Mining Data Mining Data Mining Data Science 144

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!

AI 98

AI AI Data Warehouse Data Lakes 98

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=

Hadoop 59

Hadoop Database Data Warehouse AWS 59

Pickl AI

MARCH 19, 2025

Apache Kafka Apache Kafka is a distributed event streaming platform used for real-time data processing. It helps data engineers collect, store, and process streams of records in a fault-tolerant way, making it crucial for building reliable data pipelines.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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.

AWS 95

AWS AI AI Data Warehouse 95

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?

ETL 59

ETL Data Warehouse Analytics Analytics 59

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.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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.

AWS 121

AWS Data Warehouse AI AI 121

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.

Tableau 98

Tableau AWS Data Warehouse SQL 98

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.

Data Warehouse 98

Data Warehouse Database 98

ODSC - Open Data Science

APRIL 25, 2025

The two most prominent implementations are dbt Model Contracts , and the Open Data Contract Standard (ODCS, not to be confused withODSC. Sample dbt ModelContract Essentially, both solutions are JSON schema (widely used in APIs and event models), and thankfully, expressed in YAML for the ease of human typing.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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 .

AI 70

AI AI Data Warehouse Data Pipeline 70

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.

Big Data 142

Big Data Big Data ETL Analytics 142

phData

JUNE 5, 2025

In the fast-moving world of data, the Snowflake AI Data Cloud has established itself as an essential part of the Modern Data Stack. Through its versatile platform, organizations can build efficient data warehouses and harness the power of data monetization via Secure Data Shares, accessible through the Snowflake Marketplace.

Database 52

Database Azure AWS SQL 52