phData

JUNE 11, 2025

Depending on the requirement, it is important to choose between transient and permanent tables, as well as data recovery needs and downtime considerations. Implement scripts or workflows to automatically tag new resources based on predefined criteria or events, reducing manual effort and ensuring timely and accurate cost attribution.

Clustering 59

Clustering SQL Database Data Lakes 59

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Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data.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. 5 Benefits of Data Modernization. Advanced Tooling.

Data Governance 52

Data Governance Cloud Data Database Data Silos 52

Precisely

JANUARY 25, 2024

There are three potential approaches to mainframe modernization: Data Replication creates a duplicate copy of mainframe data in a cloud data warehouse or data lake, enabling high-performance analytics virtually in real time, without negatively impacting mainframe performance. Best Practice 5.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

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. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments.

AI 110

AI AI Data Warehouse Machine Learning 110

Alation

DECEMBER 14, 2021

Compliance in the Cloud ( GDPR, CCPA ) is still in in its infancy and tough to navigate, with people wondering: How do you manage policies in the cloud? How do you provide access and connect the right people to the right data? AWS has created a way to manage policies and access, but this is only for data lake formation.

AWS 52

AWS Data Lakes Data Warehouse Machine Learning 52

Alation

MARCH 1, 2022

Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed). Time is money,” said Leonard Kwok, Senior Data Analyst, ARC.

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

AWS Machine Learning Blog

APRIL 12, 2023

Traditional maintenance activities rely on a sizable workforce distributed across key locations along the BHS dispatched by operators in the event of an operational fault. With this service, industrial sensors, smart meters, and OPC UA servers can be connected to an AWS data lake with just a few clicks.

AWS 112

AWS ML ML Machine Learning 112

ODSC - Open Data Science

JULY 11, 2023

Co-location data centers: These are data centers that are owned and operated by third-party providers and are used to house the IT equipment of multiple organizations. Uninterruptible Power Supply (UPS): Provides backup power in the event of a power outage, to keep the equipment running long enough to perform an orderly shutdown.

Data Lakes 40

Data Lakes Cloud Computing AI AI 40

Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. Data pipeline orchestration.

Data Governance 59

Data Governance ML ML Cloud Data 59

phData

FEBRUARY 14, 2023

What Are the Best Third-Party Data Ingestion Tools for Snowflake? Fivetran Fivetran is a tool dedicated to replicating applications, databases, events, and files into a high-performance data warehouse, such as Snowflake. To help you make your choice, here are the ones we consider to be the best.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

Mlearning.ai

FEBRUARY 16, 2023

Thus, the solution allows for scaling data workloads independently from one another and seamlessly handling data warehousing, data lakes , data sharing, and engineering. Furthermore, a shared-data approach stems from this efficient combination. What will You Attain with Snowflake?

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

phData

FEBRUARY 5, 2024

Other features include email notifications (to let you know if a job failed or is running long), job scheduling, orchestration to ensure your data gets to Snowflake when you want it, and of course, full automation of your complete data ingestion process.

SQL 52

SQL Database Data Quality Data Warehouse 52

AWS Machine Learning Blog

NOVEMBER 1, 2024

At the same time, global health awareness and investments in clinical research have increased as a result of motivations by major events like the COVID-19 pandemic. Instead, a core component of decentralized clinical trials is a secure, scalable data infrastructure with strong data analytics capabilities.

AWS 113

AWS Data Lakes Machine Learning Machine Learning 113

phData

SEPTEMBER 27, 2024

Methods that allow our customer data models to be as dynamic and flexible as the customers they represent. In this guide, we will explore concepts like transitional modeling for customer profiles, the power of event logs for customer behavior, persistent staging for raw customer data, real-time customer data capture, and much more.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52