Precisely

DECEMBER 28, 2023

Business success is based on how we use continuously changing data. That’s where streaming data pipelines come into play. This article explores what streaming data pipelines are, how they work, and how to build this data pipeline architecture. What is a streaming data pipeline?

Data Pipeline 91

Data Pipeline Building Kafka Big Data 91

Data Engineering Podcast

JULY 28, 2019

In this episode Tim Ward, CEO of CluedIn, explains the idea of eventual connectivity as a new paradigm for data integration. Rather than manually defining all of the mappings ahead of time, we can rely on the power of graph databases and some strategic metadata to allow connections to occur as the data becomes available.

Data Integration 100

Data Integration Metadata Architecture Media 100

Cloudera

DECEMBER 4, 2024

Our customers rely on NiFi as well as the associated sub-projects (Apache MiNiFi and Registry) to connect to structured, unstructured, and multi-modal data from a variety of data sources – from edge devices to SaaS tools to server logs and change data capture streams. Cloudera DataFlow 2.9

Data Pipeline 93

Data Pipeline Data Ingestion Data Preparation Architecture 93

Towards Data Science

FEBRUARY 3, 2023

Exploring popular data integration strategies for TSDBs including ETL, ELT, and CDC Continue reading on Towards Data Science »

Data Integration 116

Data Integration Database Data Science Data 116

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. We’ll answer the question, “What are data pipelines?” Table of Contents What are Data Pipelines?

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Data Pipeline Designing Data Lake Data Warehouse 98

The Modern Data Company

JANUARY 22, 2024

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. Data engineering excellence Modern offers robust solutions for building, managing, and operationalizing data pipelines.

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Data Integration Metadata Government Unstructured Data 98

dbt Developer Hub

APRIL 30, 2025

Introduction Building scalable data pipelines in a fast-growing fintech can feel like fixing a bike while riding it. You must keep insights flowing even as data volumes explode. Traditional batch ETL (rebuilding entire tables each run) started to buckle; pipelines took hours, and costs ballooned.

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Data Pipeline Finance Banking Data 40

Data Engineering Podcast

NOVEMBER 30, 2020

Summary The first stage of every good pipeline is to perform data integration. With the increasing pace of change and the need for up to date analytics the need to integrate that data in near real time is growing. Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Integration 100

Data Integration Coding BI Data Engineer 100

The Modern Data Company

JANUARY 22, 2024

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. This capability is instrumental in meeting the analytical demands of various data applications, including analytics, business intelligence (ABI), and data science.

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Data Integration Metadata Government Unstructured Data 87

Data Engineering Podcast

JULY 13, 2020

Summary The first stage of every data pipeline is extracting the information from source systems. There are a number of platforms for managing data integration, but there is a notable lack of a robust and easy to use open source option. The Meltano project is aiming to provide a solution to that situation.

Data Integration 100

Data Integration Data Engineer Data Engineering Data 100

Data Engineering Podcast

JANUARY 23, 2022

If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription StreamSets DataOps Platform is the world’s first single platform for building smart data pipelines across hybrid and multi-cloud architectures. Once you’re up and running, your smart data pipelines are resilient to data drift.

Data Integration 100

Data Integration Data Pipeline Data Architecture 100

Data Engineering Podcast

MAY 1, 2022

Summary The predominant pattern for data integration in the cloud has become extract, load, and then transform or ELT. If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

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Data Warehouse Data Integration Cloud Google Cloud 100

Data Engineering Podcast

NOVEMBER 20, 2021

Summary One of the perennial challenges posed by data lakes is how to keep them up to date as new data is collected. With the improvements in streaming engines it is now possible to perform all of your data integration in near real time, but it can be challenging to understand the proper processing patterns to make that performant.

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

Data Engineering Podcast

JANUARY 25, 2021

In order to reduce the friction involved in supporting new data transformations David Molot and Hassan Syyid built the Hotlue platform. Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code. Interview Introduction How did you get involved in the area of data management?

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Data Integration IT Python BI 100

Precisely

JANUARY 9, 2023

Requirements for data to be more easily accessible, at even faster rates, will continue to grow in 2023, and organizations will need to adapt their data quality practices to keep pace with the demand for new modern use cases. The post Top Data Integrity Trends Fueling Confident Business Decisions in 2023 appeared first on Precisely.

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Data Integration Data Governance Government Data 81

Ascend.io

DECEMBER 4, 2024

As we look towards 2025, it’s clear that data teams must evolve to meet the demands of evolving technology and opportunities. In this blog post, we’ll explore key strategies that data teams should adopt to prepare for the year ahead. The anticipated growth in data pipelines presents both challenges and opportunities.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Precisely

MAY 23, 2024

Key takeaways: Quickly adapt to market changes by easily adding new data sources and targets, ensuring your IT landscape evolves at the pace of your business. Gain a competitive edge with real-time data integration, crucial for time-sensitive decisions and actions in fraud detection and customer interactions.

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Data Integration Metadata Telecommunication Data Governance 64

Striim

AUGUST 14, 2024

When implemented effectively, smart data pipelines seamlessly integrate data from diverse sources, enabling swift analysis and actionable insights. They empower data analysts and business users alike by providing critical information while protecting sensitive production systems. What is a Smart Data Pipeline?

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Data Pipeline Data Architecture Transportation 52

Data Engineering Weekly

JANUARY 15, 2025

They are responsible for designing, implementing, and maintaining robust, scalable data pipelines that transform raw unstructured data—text, images, videos, and more—into high-quality, AI-ready datasets. Validate synthetic data to ensure it is representative, diverse, and suitable for the intended AI applications.

Data Engineer 63

Data Engineer Data Engineering Unstructured Data Engineering 63

Ascend.io

OCTOBER 28, 2024

It is important to note that normalization often overlaps with the data cleaning process, as it helps to ensure consistency in data formats, particularly when dealing with different sources or inconsistent units. Data Validation Data validation ensures that the data meets specific criteria before processing.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Striim

AUGUST 31, 2023

Showing how Kappa unifies batch and streaming pipelines The development of Kappa architecture has revolutionized data processing by allowing users to quickly and cost-effectively reduce data integration costs.

Data Integration 69

Data Integration Architecture Amazon Web Services Machine Learning 69

KDnuggets

MARCH 5, 2025

Get a 30-day free trial and take a tour of CData Sync - providing data integration pipelines from any source to any application, in the cloud or on-premises

Data Pipeline 81

Data Pipeline Data Integration Cloud Data 81

Ascend.io

DECEMBER 4, 2024

As we look towards 2025, it’s clear that data teams must evolve to meet the demands of evolving technology and opportunities. In this blog post, we’ll explore key strategies that data teams should adopt to prepare for the year ahead. The anticipated growth in data pipelines presents both challenges and opportunities.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Data Engineering Podcast

APRIL 10, 2022

If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Go to dataengineeringpodcast.com/atlan today and sign up for a free trial.

Data Integration 100

Data Integration Data Engineer Data Engineering SQL 100

Striim

OCTOBER 11, 2024

A well-executed data pipeline can make or break your company’s ability to leverage real-time insights and stay competitive. Thriving in today’s world requires building modern data pipelines that make moving data and extracting valuable insights quick and simple. What is a Data Pipeline?

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Hevo

DECEMBER 6, 2024

Data integration is an integral part of modern business strategy, enabling businesses to convert raw data into actionable information and make data-driven decisions. However, its technical complexities and steeper learning curve can create a challenge for teams that require an efficient real-time data pipeline.

Raw Data 52

Raw Data Data Pipeline Data Integration Data 52

Data Engineering Podcast

JULY 3, 2022

Your newly mimicked datasets are safe to share with developers, QA, data scientists—heck, even distributed teams around the world. Shorten development cycles, eliminate the need for cumbersome data pipeline work, and mathematically guarantee the privacy of your data, with Tonic.ai.

Data Integration 100

Data Integration MongoDB MySQL Scala 100

Striim

APRIL 18, 2025

How Organizations Can Overcome Data Quality and Availability Challenges Many businesses are shifting toward real-time data pipelines to ensure their AI and analytics strategies are built on reliable information. Enabling AI & ML with Adaptive Data Pipelines AI models require ongoing updates to stay relevant.

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High Quality Data Business Intelligence Unstructured Data Data Pipeline 52

Precisely

MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Striim

MARCH 21, 2025

Batch processing: data is typically extracted from databases at the end of the day, saved to disk for transformation, and then loaded in batch to a data warehouse. Batch data integration is useful for data that isn’t extremely time-sensitive. Real-time data processing has many use cases.

Process 52

Process Data Warehouse Kafka Data Pipeline 52

Precisely

MAY 23, 2024

Key takeaways: Quickly adapt to market changes by easily adding new data sources and targets, ensuring your IT landscape evolves at the pace of your business. Gain a competitive edge with real-time data integration, crucial for time-sensitive decisions and actions in fraud detection and customer interactions.

Data Integration 52

Data Integration Metadata Telecommunication Data Governance 52

DataKitchen

NOVEMBER 5, 2024

When data reaches the Gold layer, it is highly curated and structured, offering a single version of the truth for decision-makers across the organization. We have also seen a fourth layer, the Platinum layer , in companies’ proposals that extend the Data pipeline to OneLake and Microsoft Fabric.

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

Ascend.io

JULY 28, 2023

Data pipelines are integral to business operations, regardless of whether they are meticulously built in-house or assembled using various tools. As companies become more data-driven, the scope and complexity of data pipelines inevitably expand. Ready to fortify your data management practice?

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

Data Engineering Podcast

MAY 21, 2023

Summary Batch vs. streaming is a long running debate in the world of data integration and transformation. With the growth in tools that are focused on batch-oriented data integration and transformation, what are the reasons that an organization should still invest in streaming?

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Data Lake Machine Learning Kafka Data Warehouse 162

DataKitchen

FEBRUARY 17, 2025

Current open-source frameworks like YAML-based Soda Core, Python-based Great Expectations, and dbt SQL are frameworks to help speed up the creation of data quality tests. They are all in the realm of software, domain-specific language to help you write data quality tests.

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SQL Python Government Data Engineer 74

Databand.ai

JULY 6, 2023

7 Data Pipeline Examples: ETL, Data Science, eCommerce, and More Joseph Arnold July 6, 2023 What Are Data Pipelines? Data pipelines are a series of data processing steps that enable the flow and transformation of raw data into valuable insights for businesses.

Data Pipeline 52

Data Pipeline Data Science Raw Data Media 52

Ascend.io

AUGUST 29, 2023

A star-studded baseball team is analogous to an optimized “end-to-end data pipeline” — both require strategy, precision, and skill to achieve success. Just as every play and position in baseball is key to a win, each component of a data pipeline is integral to effective data management.

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Data Pipeline Pipeline-centric Database-centric Data Ingestion 52