Pickl AI

JUNE 7, 2024

Summary: Choosing the right ETL tool is crucial for seamless data integration. Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Choosing the right ETL tool is crucial for smooth data management.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

IBM Journey to AI blog

OCTOBER 22, 2024

IBM’s data integration portfolio includes tools such as IBM DataStage for ETL/ELT processing, IBM StreamSets for real-time streaming data pipelines, and IBM Data Replication for low-latency, near real-time data synchronization.

Data Silos 102

Data Silos Data Pipeline DataOps Business Intelligence 102

phData

AUGUST 10, 2023

The implementation of a data vault architecture requires the integration of multiple technologies to effectively support the design principles and meet the organization’s requirements. In this blog, our focus will be on exploring the data lifecycle along with several Design Patterns, delving into their benefits and constraints.

SQL 52

SQL Data Observability Data Quality Data Pipeline 52

ODSC - Open Data Science

JANUARY 11, 2024

What is query-driven modeling, and does it have a place in the data world? Pioneering Data Observability: Data, Code, Infrastructure, & AI What’s in store for the future of data reliability? To understand where we’re going, it helps to first take a step back and assess how far we’ve come.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JULY 8, 2024

Summary: This blog explains how to build efficient data pipelines, detailing each step from data collection to final delivery. Introduction Data pipelines play a pivotal role in modern data architecture by seamlessly transporting and transforming raw data into valuable insights.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

IBM Journey to AI blog

JULY 3, 2024

To power AI and analytics workloads across your transactional and purpose-built databases, you must ensure they can seamlessly integrate with an open data lakehouse architecture without duplication or additional extract, transform, load (ETL) processes.

AI 45

AI AI Data Quality Database 45

phData

FEBRUARY 22, 2023

This plan can include many pieces, including a common way to name objects, release new code to production, transform data, and others. In this blog, we’ll explore the various approaches to help your business standardize its Snowflake environment. Interested in exploring the most popular native methods for data ingestion in Snowflake?

SQL 52

SQL Data Quality Database ETL 52