Dataconomy

SEPTEMBER 4, 2023

Cloud-based business intelligence (BI): Cloud-based BI tools enable organizations to access and analyze data from cloud-based sources and on-premises databases. These tools offer the flexibility of accessing insights from anywhere, and they often integrate with other cloud analytics solutions.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

phData

AUGUST 9, 2023

This makes ELT aligned with modern data practices and helps explain why it has become the dominant pattern, replacing the once-standard ETL approach. The Story of ELT In the early days of data warehousing, ETL was the standard for data processing. Thus, the early data lakes began following more of the EL-style flow.

ETL 52

ETL Data Warehouse Cloud Data Big Data 52

Flipboard

NOVEMBER 24, 2023

In this post, we will talk about how BMW Group, in collaboration with AWS Professional Services, built its Jupyter Managed (JuMa) service to address these challenges. For example, teams using these platforms missed an easy migration of their AI/ML prototypes to the industrialization of the solution running on AWS.

ML 95

ML ML AWS AI 95

Alation

DECEMBER 14, 2021

Alation recently attended AWS re:invent 2021 … in person! AWS Keynote: “Still Early Days” for Cloud. Adam Selipsky, CEO of AWS, brought this energy in his opening keynote, welcoming a packed room and looking back on the progress of AWS. Cloud accounts for less than 5% of global IT spending , according to estimates.

AWS 52

AWS Data Lakes Data Warehouse Machine Learning 52

Alation

MARCH 22, 2022

IDF works natively on cloud platforms like AWS. It leverages the power of serverless (and managed) services to automate and build data and analytics pipelines; IDF uses a point-and-click, zero-code approach with pipeline blueprints (patterns), such as the one below.

DataOps 52

DataOps Data Pipeline Data Engineering Data Engineer 52

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. It provides a single web-based visual interface where you can perform all ML development steps, including preparing data and building, training, and deploying models.

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ML ML AWS Data Warehouse 93

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.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

Alation

MARCH 1, 2022

Airline Reporting Corporation (ARC) sells data products to travel agencies and airlines. 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).

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

IBM Journey to AI blog

JULY 17, 2023

Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent. 1 Watsonx.data offers built-in governance and automation to get to trusted insights within minutes, and integrations with existing databases and tools to simplify setup and user experience.

AI 66

AI AI Machine Learning Machine Learning 66

Flipboard

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Learn more about the AWS zero-ETL future with newly launched AWS databases integrations with Amazon Redshift.

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AWS Data Warehouse ETL SQL 112

phData

DECEMBER 4, 2023

However, if there’s one thing we’ve learned from years of successful cloud data implementations here at phData, it’s the importance of: Defining and implementing processes Building automation, and Performing configuration …even before you create the first user account. This includes users, roles, schemas, databases, and warehouses.

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Clustering Database SQL Data Pipeline 98

The MLOps Blog

MAY 17, 2023

Cloud ETL Pipeline: Cloud ETL pipeline for ML involves using cloud-based services to extract, transform, and load data into an ML system for training and deployment. Cloud providers such as AWS, Microsoft Azure, and GCP offer a range of tools and services that can be used to build these pipelines.

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ETL Data Pipeline ML ML 59