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.

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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.

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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.

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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.

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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.

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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?

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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.

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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.

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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.

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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.

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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.

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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?

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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.

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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.

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Pickl AI

NOVEMBER 4, 2024

Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. It involves developing data pipelines that efficiently transport data from various sources to storage solutions and analytical tools. ETL is vital for ensuring data quality and integrity.

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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.

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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.”

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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.

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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.

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phData

FEBRUARY 3, 2023

First, Snowflake allows call center managers to easily store and analyze large amounts of data, such as call logs and customer information, in a centralized location. This can help them identify trends and patterns in customer behavior, and make more informed decisions about how to improve their operations.

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phData

AUGUST 17, 2023

Data pipeline orchestration tools are designed to automate and manage the execution of data pipelines. These tools help streamline and schedule data movement and processing tasks, ensuring efficient and reliable data flow. This enhances the reliability and resilience of the data pipeline.

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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.

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Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Read more to know.

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phData

APRIL 24, 2023

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 GIT and used as a GIT repository for your development.

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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.

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IBM Journey to AI blog

MAY 9, 2024

Data lineage can help.With data lineage, your team establishes a strong data governance strategy, enabling them to gain full control of your healthcare data pipeline. One broken or incomplete piece of data can trigger not only noncompliance and audit issues but also harm real people. The consequence?

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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?

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phData

NOVEMBER 28, 2023

In July 2023, Matillion launched their fully SaaS platform called Data Productivity Cloud, aiming to create a future-ready, everyone-ready, and AI-ready environment that companies can easily adopt and start automating their data pipelines coding, low-coding, or even no-coding at all. Why Does it Matter?

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phData

APRIL 24, 2024

This article was co-written by Mayank Singh & Ayush Kumar Singh Your organization’s data pipelines will inevitably run into issues, ranging from simple permission errors to significant network or infrastructure incidents. Configure your ETL tool to send emails to that address and invite people to join the Slack channel.

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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.

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DataSeries

AUGUST 15, 2024

Enrich data engineering skills by building problem-solving ability with real-world projects, teaming with peers, participating in coding challenges, and more. Globally several organizations are hiring data engineers to extract, process and analyze information, which is available in the vast volumes of data sets.

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Precisely

APRIL 3, 2023

Whether you’re a financial services company using data to combat financial crime, a transportation company seeking to minimize your climate impact, or a manufacturing business aiming to optimize your supply chain, digital modernization provides critical insights and visibility, unlocking the information critical to your success.

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Pickl AI

JULY 30, 2024

With a user-friendly interface and robust features, NiFi simplifies complex data workflows and enhances real-time data integration. Overview In the era of Big Data , organizations inundated with vast amounts of information generated from various sources. Apache NiFi is used for automating the flow of data between systems.

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IBM Journey to AI blog

APRIL 20, 2023

This trust depends on an understanding of the data that inform risk models: where does it come from, where is it being used, and what are the ripple effects of a change? The value of data lineage applies across all industries, but there are three key focuses when you consider it for banking use cases: 1.

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AWS Machine Learning Blog

NOVEMBER 12, 2024

Focused on addressing the challenge of agricultural data standardization, Agmatix has developed proprietary patented technology to harmonize and standardize data, facilitating informed decision-making in agriculture. The first step in developing and deploying generative AI use cases is having a well-defined data strategy.

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Precisely

JUNE 2, 2023

As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. The right data integration technology can vastly simplify things. Streaming data pipelines help to make data available and accessible in real time.

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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.

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