Snowflake

JANUARY 26, 2023

Working with our partners, this architecture includes MQTT-based data ingestion into Snowflake. This provides a highly scalable, fast, flexible (OT data published by exception from edge to cloud), and secure communication to Snowflake. Stay tuned for more insights on Industry 4.0 and supply chain in the coming months.

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Data Ingestion Manufacturing Unstructured Data Architecture 52

Snowflake

APRIL 19, 2023

Welcome to the third blog post in our series highlighting Snowflake’s data ingestion capabilities, covering the latest on Snowpipe Streaming (currently in public preview) and how streaming ingestion can accelerate data engineering on Snowflake. What is Snowpipe Streaming?

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Data Ingestion Kafka Java Data Pipeline 59

Striim

NOVEMBER 13, 2023

Introduction In the fast-evolving world of data integration, Striim’s collaboration with Snowflake stands as a beacon of innovation and efficiency. Striim’s integration with Snowpipe Streaming represents a significant advancement in real-time data ingestion into Snowflake.

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Hevo

MARCH 28, 2023

As businesses continue to generate and collect large amounts of data, the need for automated data ingestion becomes increasingly critical. The process of ingesting and processing vast amounts of information can be overwhelming.

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Hevo

MARCH 28, 2023

As businesses continue to generate and collect large amounts of data, the need for automated data ingestion becomes increasingly critical. The process of ingesting and processing vast amounts of information can be overwhelming.

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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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Knowledge Hut

APRIL 25, 2023

An end-to-end Data Science pipeline starts from business discussion to delivering the product to the customers. One of the key components of this pipeline is Data ingestion. It helps in integrating data from multiple sources such as IoT, SaaS, on-premises, etc., What is Data Ingestion?

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Data Ingestion Lambda Architecture Raw Data Data Science 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

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

Hevo

JULY 5, 2024

Managing data ingestion from Azure Blob Storage to Snowflake can be cumbersome. But what if you could automate the process, ensure data integrity, and leverage real-time analytics? Manual processes lead to inefficiencies and potential errors while also increasing operational overhead.

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Confluent

JANUARY 22, 2024

The new fully managed BigQuery Sink V2 connector for Confluent Cloud offers streamlined data ingestion and cost-efficiency. Learn about the Google-recommended Storage Write API and OAuth 2.0 support.

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Data Ingestion Cloud Management Data 78

KDnuggets

APRIL 6, 2022

Learn tricks on importing various data formats using Pandas with a few lines of code. We will be learning to import SQL databases, Excel sheets, HTML tables, CSV, and JSON files with examples.

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Data Ingestion SQL Database Data 144

databricks

MAY 23, 2024

We're excited to announce native support in Databricks for ingesting XML data. XML is a popular file format for representing complex data.

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Data Ingestion Data 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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Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

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Data Ingestion Data Engineering Data Engineer Engineering 52

Hevo

JUNE 20, 2024

The surge in Big Data and Cloud Computing has created a huge demand for real-time Data Analytics. Companies rely on complex ETL (Extract Transform and Load) Pipelines that collect data from sources in the raw form and deliver it to a storage destination in a form suitable for analysis.

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Hevo

JULY 17, 2024

Every data-centric organization uses a data lake, warehouse, or both data architectures to meet its data needs. Data Lakes bring flexibility and accessibility, whereas warehouses bring structure and performance to the data architecture.

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Data Ingestion Data Lake Data Architecture Architecture 52

Ascend.io

DECEMBER 19, 2022

Pipelines are thirsty for data, and since intelligent pipelines process data incrementally, several of our enhancements these past two weeks solved for incremental ingestion needs from popular data sources—including Marketo, Shopify, Google Analytics 4, and Snowflake.

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Data Ingestion Data Pipeline Metadata AWS 52

Rockset

MAY 3, 2023

lower latency than Elasticsearch for streaming data ingestion. We’ll also delve under the hood of the two databases to better understand why their performance differs when it comes to search and analytics on high-velocity data streams. Why measure streaming data ingestion? Rockset was able to achieve up to 2.5x

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Data Ingestion Kafka Database Architecture 59

Rockset

AUGUST 4, 2021

With Snowflake, organizations get the simplicity of data management with the power of scaled-out data and distributed processing. Although Snowflake is great at querying massive amounts of data, the database still needs to ingest this data. Data ingestion must be performant to handle large amounts of data.

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Data Ingestion Cloud Storage Data Warehouse Architecture 40

KDnuggets

SEPTEMBER 11, 2024

Learn how to create a data science pipeline with a complete structure.

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Data Science Data Ingestion Process Data 97

databricks

MARCH 29, 2024

Overview In the competitive world of professional hockey, NHL teams are always seeking to optimize their performance. Advanced analytics has become increasingly important.

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Data Ingestion Management Data Entertainment 96

Rockset

OCTOBER 11, 2022

In this blog, we’ll compare and contrast how Elasticsearch and Rockset handle data ingestion as well as provide practical techniques for using these systems for real-time analytics. That’s because Elasticsearch can only write data to one index.

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Data Ingestion Kafka Relational Database PostgreSQL 52

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 90

Snowflake

MARCH 2, 2023

This solution is both scalable and reliable, as we have been able to effortlessly ingest upwards of 1GB/s throughput.” Rather than streaming data from source into cloud object stores then copying it to Snowflake, data is ingested directly into a Snowflake table to reduce architectural complexity and reduce end-to-end latency.

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Kafka Data Ingestion Data Pipeline Cloud Storage 125

Analytics Vidhya

MARCH 7, 2023

Introduction Apache Flume is a tool/service/data ingestion mechanism for gathering, aggregating, and delivering huge amounts of streaming data from diverse sources, such as log files, events, and so on, to centralized data storage. Flume is a tool that is very dependable, distributed, and customizable.

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Rockset

MARCH 1, 2023

When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. When data ingestion has a flash flood moment, your queries will slow down or time out making your application flaky.

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Data Ingestion Database Architecture SQL 144

Cloudyard

NOVEMBER 12, 2024

This approach not only minimizes costs but also maximizes efficiency by performing essential operations only when new data is available. This use case will walk through the setup of a Snowflake task called LOAD_ORDER_DATA, which performs automated data ingestion and validation.

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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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KDnuggets

JULY 29, 2024

Learn to build the end-to-end data science pipelines from data ingestion to data visualization using Pandas pipe method.

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Data Science Building Data Ingestion Data 125

Snowflake

NOVEMBER 19, 2024

To meet these ongoing data load requirements, pipelines must be built to continuously ingest and upload newly generated data into your cloud platform, enabling a seamless and efficient flow of information during and after the migration. How Snowflake can help: Snowflake offers a variety of options for data ingestion.

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Cloud Data Ingestion Data Validation Data Security 52

Snowflake

OCTOBER 16, 2024

The company quickly realized maintaining 10 years’ worth of production data while enabling real-time data ingestion led to an unscalable situation that would have necessitated a data lake. Core Digital Media’s BI team began evaluating infrastructure enhancements.

Digital Media 81

Digital Media Media Data Lake Data Warehouse 81

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. This process is critical as it ensures data quality from the onset.

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Data Ingestion Transportation High Quality Data Data Schemas 53

KDnuggets

SEPTEMBER 1, 2023

This article describes a large-scale data warehousing use case to provide reference for data engineers who are looking for log analytic solutions. It introduces the log processing architecture and real-case practice in data ingestion, storage, and queries.

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DataKitchen

NOVEMBER 5, 2024

You have typical data ingestion layer challenges in the bronze layer: lack of sufficient rows, delays, changes in schema, or more detailed structural/quality problems in the data. Data missing or incomplete at various stages is another critical quality issue in the Medallion architecture.

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

Striim

SEPTEMBER 11, 2024

Data Collection/Ingestion The next component in the data pipeline is the ingestion layer, which is responsible for collecting and bringing data into the pipeline. By efficiently handling data ingestion, this component sets the stage for effective data processing and analysis.

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Hevo

SEPTEMBER 3, 2024

In this tutorial, you’ll learn how to create an Apache Airflow MongoDB connection to extract data from a REST API that records flood data daily, transform the data, and load it into a MongoDB database. Why […]

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