Cloudera

FEBRUARY 8, 2021

Below is the entire set of steps in the data lifecycle, and each step in the lifecycle will be supported by a dedicated blog post(see Fig. 1): Data Collection – data ingestion and monitoring at the edge (whether the edge be industrial sensors or people in a vehicle showroom).

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Data Pipeline Building Manufacturing Data Warehouse 118

Cloudera

AUGUST 13, 2021

Rather than collecting every single event and analyzing later, it would make sense to identify the important data as it is being collected. Let’s transform the first mile of the data pipeline. By modernizing the data flow, the enterprise got better insights into the business. What product can help collect events only?

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Data Pipeline Data Lake ETL Tools Unstructured Data 111

Snowflake

JUNE 4, 2024

Snowflake’s new Python API (GA soon) simplifies data pipelines and is readily available through pip install snowflake. Additionally, Dynamic Tables are a new table type that you can use at every stage of your processing pipeline. Interact with Snowflake objects directly in Python. Automate or code, the choice is yours.

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Data Pipeline Python SQL Database 122

Databand.ai

JUNE 28, 2023

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. We believe the world’s data pipelines need better data observability.

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Data Pipeline Data Engineer Data Engineering Engineering 98

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.

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Architecture Raw Data Pipeline-centric Data Ingestion 78

Snowflake

JUNE 13, 2024

But at Snowflake, we’re committed to making the first step the easiest — with seamless, cost-effective data ingestion to help bring your workloads into the AI Data Cloud with ease. Like any first step, data ingestion is a critical foundational block. Ingestion with Snowflake should feel like a breeze.

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Data Ingestion MySQL PostgreSQL Data Pipeline 115

Hevo

APRIL 26, 2024

Managing vast data volumes is a necessity for organizations in the current data-driven economy. To accommodate lengthy processes on such data, companies turn toward Data Pipelines which tend to automate the work of extracting data, transforming it and storing it in the desired location.

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Data Ingestion Data Pipeline Data Management 52

Striim

APRIL 18, 2025

Siloed storage : Critical business data is often locked away in disconnected databases, preventing a unified view. Delayed data ingestion : Batch processing delays insights, making real-time decision-making impossible. 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

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation.

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Data Ingestion Data Cloud Cloud Computing 188

Monte Carlo

MARCH 14, 2023

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Table of Contents What is Data Ingestion? Decision making would be slower and less accurate.

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Data Ingestion Data Warehouse Lambda Architecture Raw Data 52

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Visualize data through charts and graphs and compile reports for stakeholders. A typical data ingestion flow.

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Data Ingestion Architecture Designing Hadoop 52

Snowflake

APRIL 9, 2025

SoFlo Solar SoFlo Solars SolarSync platform uses real-time AI data analytics and ML to transform underperforming residential solar systems into high-uptime clean energy assets, providing homeowners with savings while creating a virtual power plant network that delivers measurable value to utilities and grid operators.

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Pharmaceutical Manufacturing Data Ingestion SQL 98

Cloudyard

DECEMBER 18, 2024

Read Time: 2 Minute, 38 Second In data-driven organizations, File Archival in Snowflake: A Snowpark-Powered Solutionhas become a game-changer. Handling feed files in data pipelines is a critical task for many organizations.

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Retail Data Ingestion AWS Data Pipeline 52

Knowledge Hut

JULY 3, 2023

This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing. This refers to Real-time data ingestion. To achieve this goal, pursuing Data Engineer certification can be highly beneficial.

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Data Ingestion Google Cloud Pipeline-centric Media 52

Monte Carlo

FEBRUARY 20, 2024

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

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Data Ingestion Google Cloud Kafka AWS 52

Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database. In this article: Why Is Data Ingestion Important?

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Data Ingestion Process Data Cleanse Data Governance 52

Ascend.io

DECEMBER 19, 2022

We hope the real-time demonstrations of Ascend automating data pipelines were a real treat—a long with the special edition T-Shirt designed specifically for the show (picture of our founder and CEO rocking the t-shirt below). Thank you to the hundreds of AWS re:Invent attendees who stopped by our booth!

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Data Ingestion Data Pipeline Metadata AWS 52

Striim

JANUARY 30, 2025

Systems must be capable of handling high-velocity data without bottlenecks. Addressing these challenges demands an end-to-end approach that integrates data ingestion, streaming analytics, AI governance, and security in a cohesive pipeline. As you can see, theres a lot to consider in adopting real-time AI.

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Systems Management Hospitality Healthcare 52

Monte Carlo

APRIL 24, 2023

Data ingestion When we think about the flow of data in a pipeline, data ingestion is where the data first enters our platform. Data ingestion When we think about the flow of data in a pipeline, data ingestion is where the data first enters our platform.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

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?

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Data Pipeline MongoDB Unstructured Data Data Lake 52

Data Engineering Weekly

APRIL 20, 2025

[link] Alibaba: Xiaomi's Real-Time Lakehouse Implementation - Best Practices with Apache Paimon As Iceberg is getting growing adoption, I also noticed some of its weaknesses popping up around the real-time data ingestion, upsert operations, and incremental data processing.

Data Engineer 67

Data Engineer Data Engineering Engineering Kafka 67

Ascend.io

OCTOBER 28, 2024

Tools like Python’s requests library or ETL/ELT tools can facilitate data enrichment by automating the retrieval and merging of external data. Read More: Discover how to build a data pipeline in 6 steps Data Integration Data integration involves combining data from different sources into a single, unified view.

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Raw Data Datasets Aggregated Data Data Pipeline 52

Edureka

APRIL 9, 2025

Programming Languages: Hands-on experience with SQL, Kusto Query Language (KQL), and Data Analysis Expressions ( DAX ). Data Ingestion and Management: Good practices for data ingestion and management within the Fabric environment.

Engineering 40

Engineering Data Ingestion Data Lake Programming Language 40

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. Data Ingestion Data ingestion is the first step of both ETL and data pipelines.

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Data Pipeline ETL Tools Pipeline-centric Data Warehouse 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

Ascend.io

MAY 8, 2023

The costs of developing and running data pipelines are coming under increasing scrutiny because the bills for infrastructure and data engineering talent are piling up. For data teams, it is time to ask: “How can we have an impact on these runaway costs and still deliver unprecedented business value?”

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Data Pipeline Data Ingestion Metadata Data 52

Ascend.io

MARCH 17, 2023

These engineering functions are almost exclusively concerned with data pipelines, spanning ingestion, transformation, orchestration, and observation — all the way to data product delivery to the business tools and downstream applications. Pipelines need to grow faster than the cost to run them.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Ascend.io

MARCH 17, 2023

These engineering functions are almost exclusively concerned with data pipelines, spanning ingestion, transformation, orchestration, and observation — all the way to data product delivery to the business tools and downstream applications. Pipelines need to grow faster than the cost to run them.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Hevo

APRIL 19, 2024

A fundamental requirement for any data-driven organization is to have a streamlined data delivery mechanism. With organizations collecting data at a rate like never before, devising data pipelines for adequate flow of information for analytics and Machine Learning tasks becomes crucial for businesses.

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Data Ingestion Machine Learning Data Pipeline Data 52

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

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Data Pipeline Architecture Data Lake Data Warehouse 52

Data Engineering Podcast

NOVEMBER 20, 2022

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. And don’t forget to thank them for their continued support of this show!

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Data Lake Data Ingestion MongoDB MySQL 130

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?

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Data Pipeline Architecture Lambda Architecture Data Architecture 52

Snowflake

JANUARY 9, 2024

Data cloud integration: This comprehensive solution begins with the Snowflake Data Cloud as a persistent data layer, which makes data more accessible for organizations to get started with the platform. Data ingestion: Hakkoda leads the entire data ingestion process.

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Data Ingestion Cloud Architecture Accessible 126

Ascend.io

JANUARY 2, 2024

But let’s be honest, creating effective, robust, and reliable data pipelines, the ones that feed your company’s reporting and analytics, is no walk in the park. From building the connectors to ensuring that data lands smoothly in your reporting warehouse, each step requires a nuanced understanding and strategic approach.

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Data Pipeline Building Raw Data Data Warehouse 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline?

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Data Pipeline Architecture Kafka AWS 52

Data Engineering Weekly

MARCH 23, 2025

The author emphasizes the importance of mastering state management, understanding "local first" data processing (prioritizing single-node solutions before distributed systems), and leveraging an asset graph approach for data pipelines. link] Grab: Improving Hugo's stability and addressing oncall challenges through automation.

Data Engineer 62

Data Engineer Data Engineering Engineering Data 62

Snowflake

JUNE 6, 2024

Faster, easier AI/ML and data engineering workflows Explore, analyze and visualize data using Python and SQL. Discover valuable business insights through exploratory data analysis. Develop scalable data pipelines and transformations for data engineering.

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SQL Python Machine Learning Data Workflow 115