Flipboard

NOVEMBER 7, 2023

“Data is at the center of every application, process, and business decision,” wrote Swami Sivasubramanian, VP of Database, Analytics, and Machine Learning at AWS, and I couldn’t agree more. A common pattern customers use today is to build data pipelines to move data from Amazon Aurora to Amazon Redshift.

ETL 181

ETL Data Pipeline Machine Learning Machine Learning 181

IBM Data Science in Practice

APRIL 7, 2025

Graceful External Termination: Handling Pod Deletions in Kubernetes Data Ingestion and Streaming Jobs When running big-data pipelines in Kubernetes, especially streaming jobs, its easy to overlook how these jobs deal with termination. If not handled correctly, this can lead to locks, data issues, and a negative user experience.

Python 130

Python ETL Data Pipeline Big Data 130

The MLOps Blog

MAY 17, 2023

However, efficient use of ETL pipelines in ML can help make their life much easier. This article explores the importance of ETL pipelines in machine learning, a hands-on example of building ETL pipelines with a popular tool, and suggests the best ways for data engineers to enhance and sustain their pipelines.

ETL 59

ETL Data Pipeline ML ML 59

Dataversity

SEPTEMBER 27, 2021

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. extract, transform, load) projects are often devoid of automated testing.

DataOps 98

DataOps ETL Data Pipeline Data Warehouse 98

Dataconomy

FEBRUARY 25, 2025

Establishing the foundation for scalable data pipelines Initiating the process of creating scalable data pipelines requires addressing common challenges such as data fragmentation, inconsistent quality and siloed team operations.

Data Pipeline 103

Data Pipeline AI AI ETL 103

Dataversity

SEPTEMBER 6, 2024

Data pipelines are like insurance. ETL processes are constantly toiling away behind the scenes, doing heavy lifting to connect the sources of data from the real world with the warehouses and lakes that make the data useful. You only know they exist when something goes wrong.

Data Pipeline 59

Data Pipeline ETL AI AI 59

Dataversity

NOVEMBER 15, 2023

Those who want to design universal data pipelines and ETL testing tools face a tough challenge because of the vastness and variety of technologies: Each data pipeline platform embodies a unique philosophy, architectural design, and set of operations.

Data Pipeline 59

Data Pipeline ETL Data Governance Data Quality 59

Alation

MAY 16, 2023

But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines. What is a Data Pipeline? A data pipeline is a series of processing steps that move data from its source to its destination. The answer?

Data Pipeline 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

Pickl AI

APRIL 9, 2025

Summary: This guide explores the top list of ETL tools, highlighting their features and use cases. It provides insights into considerations for choosing the right tool, ensuring businesses can optimize their data integration processes for better analytics and decision-making. What is ETL? What are ETL Tools?

ETL 52

ETL Data Warehouse AWS Business Intelligence 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

Pickl AI

OCTOBER 17, 2024

Summary: The ETL process, which consists of data extraction, transformation, and loading, is vital for effective data management. Following best practices and using suitable tools enhances data integrity and quality, supporting informed decision-making. What is ETL? ETL stands for Extract, Transform, Load.

ETL 52

ETL Data Warehouse SQL Data Quality 52

Pickl AI

OCTOBER 17, 2024

Summary: This article explores the significance of ETL Data in Data Management. It highlights key components of the ETL process, best practices for efficiency, and future trends like AI integration and real-time processing, ensuring organisations can leverage their data effectively for strategic decision-making.

ETL 52

ETL Data Warehouse Data Quality Data Governance 52

phData

JANUARY 11, 2024

Matillion has a Git integration for Matillion ETL with Git repository providers, which your company can use to leverage your development across teams and establish a more reliable environment. In this blog, you will learn how to set up your Matillion ETL to be integrated with Azure DevOps and used as a Git repository for your developments.

ETL 59

ETL Azure Data Pipeline 59

Pickl AI

OCTOBER 15, 2024

Summary: Selecting the right ETL platform is vital for efficient data integration. Consider your business needs, compare features, and evaluate costs to enhance data accuracy and operational efficiency. Introduction In today’s data-driven world, businesses rely heavily on ETL platforms to streamline data integration processes.

ETL 52

ETL Azure AWS Data Governance 52

AWS Machine Learning Blog

FEBRUARY 21, 2025

While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed for accurate responses in business settings. After ingesting the data, you create an agent with specific instructions: agent_instruction = """You are the Amazon Bedrock Agent.

AWS 130

AWS Natural Language Processing Machine Learning Machine Learning 130

Smart Data Collective

AUGUST 17, 2022

Kafka And ETL Processing: You might be using Apache Kafka for high-performance data pipelines, stream various analytics data, or run company critical assets using Kafka, but did you know that you can also use Kafka clusters to move data between multiple systems. A three-step ETL framework job should do the trick.

Apache Kafka 130

Apache Kafka ETL Data Lakes AWS 130

Precisely

JANUARY 6, 2025

While these systems provide flexibility and scalability, they also pose significant challenges for integrating, normalizing, and analyzing data. See how Preciselys Data Integration Solutions can help your business stream real-time application data from legacy systems to mission critical business applications and analytics platforms.

Data Pipeline 59

Data Pipeline ETL Analytics Analytics 59

Dataversity

MARCH 28, 2023

Data integration processes benefit from automated testing just like any other software. Yet finding a data pipeline project with a suitable set of automated tests is rare. Even when a project has many tests, they are often unstructured, do not communicate their purpose, and are hard to run.

Data Pipeline 52

Data Pipeline ETL Data Quality Database 52

IBM Data Science in Practice

DECEMBER 7, 2022

One of the key elements that builds a data fabric architecture is to weave integrated data from many different sources, transform and enrich data, and deliver it to downstream data consumers. As a part of data pipeline, Address Verification Interface (AVI) can remediate bad address data.

Data Quality 130

Data Quality Data Pipeline Data Preparation ETL 130

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. Also Read: Top 10 Data Science tools for 2024.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

Dataversity

AUGUST 30, 2021

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. extract, transform, load) projects are often devoid of automated testing.

DataOps 52

DataOps ETL Data Pipeline Data Warehouse 52

phData

FEBRUARY 23, 2023

Matillion has a Git integration for Matillion ETL with Git repository providers, which can be used by your company to leverage your development across teams and establish a more reliable environment. What is Matillion ETL? Feel free to open a notepad and begin saving some information required for the integration later.

ETL 52

ETL Data Pipeline Data Engineering Data Engineering 52

IBM Data Science in Practice

NOVEMBER 28, 2022

Implementing a data fabric architecture is the answer. What is a data fabric? Data fabric is defined by IBM as “an architecture that facilitates the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems.”

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

Heartbeat

NOVEMBER 6, 2023

Image Source —  Pixel Production Inc In the previous article, you were introduced to the intricacies of data pipelines, including the two major types of existing data pipelines. You might be curious how a simple tool like Apache Airflow can be powerful for managing complex data pipelines.

Data Pipeline 52

Data Pipeline Clean Data ETL Python 52

Smart Data Collective

SEPTEMBER 19, 2022

They can also use this information to analyze consumer behavior and create tailored services. Data analytics fintech provides crucial information financial institutions need to build a robust risk assessment strategy. ETL and Business Intelligence solutions make dealing with large volumes of data easy.

Big Data 145

Big Data Big Data Big Data Analytics Big Data Analytics 145

Data Science Blog

FEBRUARY 4, 2023

ERP (Enterprise Resource Planning) systems contain information about finance, supplier management, human resources and other operational processes, while CRM (Customer Relationship Management) systems provide data about customer relationships, marketing and sales activities. Copyright by DATANOMIQ.

Cloud Data 147

Cloud Data Data Science Business Intelligence Business Intelligence 147

Women in Big Data

OCTOBER 9, 2024

With the explosive growth of big data over the past decade and the daily surge in data volumes, it’s essential to have a resilient system to manage the vast influx of information without failures. The success of any data initiative hinges on the robustness and flexibility of its big data pipeline.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Alation

MAY 16, 2023

But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines. What is a Data Pipeline? A data pipeline is a series of processing steps that move data from its source to its destination. The answer?

Data Pipeline 40

Data Pipeline Data Governance Data Lakes Data Warehouse 40

AWS Machine Learning Blog

MARCH 1, 2023

To solve this problem, we had to design a strong data pipeline to create the ML features from the raw data and MLOps. Multiple data sources ODIN is an MMORPG where the game players interact with each other, and there are various events such as level-up, item purchase, and gold (game money) hunting.

AWS 104

AWS ML ML ETL 104

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Learning these tools is crucial for building scalable data pipelines. offers Data Science courses covering these tools with a job guarantee for career growth. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

phData

JUNE 14, 2023

In recent years, data engineering teams working with the Snowflake Data Cloud platform have embraced the continuous integration/continuous delivery (CI/CD) software development process to develop data products and manage ETL/ELT workloads more efficiently.

Data Pipeline 52

Data Pipeline Database SQL Data Engineering 52

Precisely

FEBRUARY 20, 2025

Data integration breaks down data silos by giving users self-service access to enterprise data, which ensures your AI initiatives are fueled by complete, relevant, and timely information. Monitor and optimize performance and outcomes Data integration is an ongoing journey that will evolve along with your business needs.

Data Silos 69

Data Silos AI AI Data Quality 69

phData

MARCH 8, 2023

Fivetran, a cloud-based automated data integration platform, has emerged as a leading choice among businesses looking for an easy and cost-effective way to unify their data from various sources. It allows organizations to easily connect their disparate data sources without having to manage any infrastructure. What is Fivetran?

Data Warehouse 96

Data Warehouse Data Engineering Data Engineering Data Engineering 96

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 119

Big Data Big Data Data Engineering Data Engineering 119

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. Let’s combine these suggestions to improve upon our original prompt: Human: Your job is to act as an expert on ETL pipelines.

Database 158

Database AWS ETL SQL 158

AWS Machine Learning Blog

MARCH 27, 2025

An example of Software Defect case is [Customer: "Our data pipeline jobs are failing with a 'memory allocation error' during the aggregation phase. The same ETL workflows were running fine before the upgrade. The same ETL workflows were running fine before the upgrade.

AWS 118

AWS ETL ML ML 118

The MLOps Blog

MARCH 15, 2023

Automating myriad steps associated with pipeline data processing, helps you convert the data from its raw shape and format to a meaningful set of information that is used to drive business decisions. In this post, you will learn about the 10 best data pipeline tools, their pros, cons, and pricing.

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59