Snowflake

MARCH 2, 2023

Snowflake enables organizations to be data-driven by offering an expansive set of features for creating performant, scalable, and reliable data pipelines that feed dashboards, machine learning models, and applications. But before data can be transformed and served or shared, it must be ingested from source systems.

Kafka 137

Kafka Data Ingestion Data Pipeline Cloud Storage 137

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. Data Transformation : Clean, format, and convert extracted data to ensure consistency and usability for both batch and real-time processing.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

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. If you notice delays in data availability or if the system isn’t keeping up with the data load, adjustments might be necessary.

Data Ingestion 59

Data Ingestion Utilities Data Integration Data 59

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.

Data Ingestion 115

Data Ingestion MySQL PostgreSQL Data Pipeline 115

Snowflake

APRIL 9, 2025

By enabling advanced analytics and centralized document management, Digityze AI helps pharmaceutical manufacturers eliminate data silos and accelerate data sharing. KAWA Analytics Digital transformation is an admirable goal, but legacy systems and inefficient processes hold back many companies efforts.

Pharmaceutical 98

Pharmaceutical Manufacturing Data Ingestion SQL 98

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.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 52

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.

Data Ingestion 144

Data Ingestion Database Architecture SQL 144

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.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

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?

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Data Science 52

Data Engineering Weekly

MARCH 5, 2025

Data Silos: Breaking down barriers between data sources. Hadoop achieved this through distributed processing and storage, using a framework called MapReduce and the Hadoop Distributed File System (HDFS). Data ingestion tools often create numerous small files, which can degrade performance during query execution.

Hadoop 58

Hadoop Metadata Data Ingestion Data Governance 58

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.

Data Ingestion 52

Data Ingestion Google Cloud Pipeline-centric Media 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?

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Pinterest Engineering

APRIL 7, 2025

In recent years, while managing Pinterests EC2 infrastructure, particularly for our essential online storage systems, we identified a significant challenge: the lack of clear insights into EC2s network performance and its direct impact on our applications reliability and performance. In the database service, the application reads data (e.g.

AWS 57

AWS Bytes Database Data Ingestion 57

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? Data Latency: Rockset sees up to 2.5x

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Cloudyard

APRIL 22, 2025

Read Time: 2 Minute, 34 Second Introduction In modern data pipelines, especially in cloud data platforms like Snowflake, data ingestion from external systems such as AWS S3 is common.

Data Validation 52

Data Validation Data Ingestion Data Pipeline AWS 52

Striim

APRIL 18, 2025

If the underlying data is incomplete, inconsistent, or delayed, even the most advanced AI models and business intelligence systems will produce unreliable insights. Many organizations struggle with: Inconsistent data formats : Different systems store data in varied structures, requiring extensive preprocessing before analysis.

High Quality Data 52

High Quality Data Business Intelligence Unstructured Data Data Pipeline 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. and then to Nuage 3.0, The article highlights Nuage 3.0's

Data Engineer 63

Data Engineer Data Engineering Engineering Data 63

Data Engineering Weekly

APRIL 20, 2025

[link] Alex Miller: Decomposing Transactional Systems I was re-reading Jack Vanlightly's excellent series on understanding the consistency model of various lakehouse formats when I stumbled upon the blog on decomposing transaction systems. We all know that data freshness plays a critical role in the performance of Lakehouse.

Data Engineer 68

Data Engineer Data Engineering Engineering Kafka 68

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. This caused system contention, missed SLAs, delayed report deliveries and significant maintenance overhead.

Digital Media 105

Digital Media Media Data Lake Data Warehouse 105

Snowflake

MARCH 14, 2024

They applied solutions like SAP BusinessObjects Data Services, Fivetran and Qlik, or used extractors to get SAP data into SAP BW and then attached more tools to get the data from SAP BW into other systems. Those trade-offs became less acceptable as demand for near real-time data and analytics increased.

IT 121

IT Data Ingestion Data AWS 121

Lyft Engineering

NOVEMBER 29, 2023

Introduction At Lyft, we have used systems like Apache ClickHouse and Apache Druid for near real-time and sub-second analytics. Sub-second query systems allow for near real-time data explorations and low latency, high throughput queries, which are particularly well-suited for handling time-series data.

Kafka 107

Kafka Data Ingestion Architecture Datasets 107

Snowflake

JUNE 4, 2024

Faster, easier ingest To make data ingestion even more cost effective and effortless, Snowflake is announcing performance improvements of up to 25% for loading JSON files, and for loading Parquet files, up to 50%. Getting data ingested now only takes a few clicks, and the data is encrypted.

Government 113

Government Data Ingestion Data PostgreSQL 113

Data Engineering Podcast

JUNE 12, 2022

report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. What are the mechanisms that you use for categorizing data assets?

Unstructured Data 130

Unstructured Data MongoDB MySQL Scala 130

Cloudera

FEBRUARY 8, 2021

As advanced use cases, like advanced driver assistance systems featuring lane change departure detection, advanced vehicle diagnostics, or predictive maintenance move forward, the existing infrastructure of the connected car is being stressed. billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1%

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Data Engineering Podcast

JUNE 19, 2022

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. A variety of platforms have been developed to capture and analyze that information to great effect, but they are inherently limited in their utility due to their nature as storage systems.

Metadata 130

Metadata MongoDB MySQL Scala 130

Snowflake

NOVEMBER 11, 2024

This reduces the overall complexity of getting streaming data ready to use: Simply create external access integration with your existing Kafka solution. SnowConvert is an easy-to-use code conversion tool that accelerates legacy relational database management system (RDBMS) migrations to Snowflake.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Snowflake

APRIL 18, 2024

Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. Snowflake allows security teams to store all their data in a single platform and maintain it all in a readily accessible state, with virtually unlimited cloud data storage capacity.

Data Lake 109

Data Lake Data Ingestion Bytes Cloud Computing 109

Zalando Engineering

MARCH 6, 2025

To serve the presentation view of a Product Offer, a multi-stage event-driven system merged Product, Price, and Stock events into a single structure. With ~350 engineering teams and thousands of deployed applications, many relying directly or indirectly on Product data, migration was always going to be complex.

Algorithm 63

Algorithm Architecture Transportation Data Ingestion 63

Striim

SEPTEMBER 11, 2024

Here are six key components that are fundamental to building and maintaining an effective data pipeline. Data sources The first component of a modern data pipeline is the data source, which is the origin of the data your business leverages. Data Processing That brings us to our next step: Data processing.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Cloudera

AUGUST 26, 2021

While we walk through the steps one by one from data ingestion to analysis, we will also demonstrate how Ozone can serve as an ‘S3’ compatible object store. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange. Data ingestion through ‘s3’. Ozone Namespace Overview.

Data Science 113

Data Science Cloud Hadoop Metadata 113

phData: Data Engineering

FEBRUARY 21, 2025

Data integrations and pipelines can also impact latency. Complex data transformations and ETL/ELT pipelines with significant data movement can see increases in latency. Streamlining data ingestion and transformation pipelines can help decrease latency.

Cloud 52

Cloud Data Warehouse Amazon Web Services Data Ingestion 52

Towards Data Science

FEBRUARY 16, 2024

Strategically enhancing address mapping during data integration using geocoding and string matching Many individuals in the big data industry may encounter the following scenario: Is the acronym “TIL” equivalent to the phrase “Today I learned” when extracting these two entries from distinct systems?

Food 94

Food Data Ingestion Python Data Science 94

Snowflake

APRIL 9, 2024

For a more in-depth exploration, plus advice from Snowflake’s Travis Henry, Director of Sales Development Ops and Enablement, and Ryan Huang, Senior Marketing Data Analyst, register for our Snowflake on Snowflake webinar on boosting market efficiency by leveraging data from Outreach. Each of these sources may store data differently.

BI 104

BI Data Ingestion Data Aggregated Data 104

Snowflake

FEBRUARY 13, 2024

Python developers can start increasing the impact of their work by building apps that bridge the gap between data and actionable insights for business teams — without adding any ops burden to IT teams. Learn more here. The pipe can only be set to this state by Snowflake Support.

Data Ingestion 111

Data Ingestion AWS Python Metadata 111

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Conclusion.

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

Data Engineering Weekly

JULY 7, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Hudi seems to be a de facto choice for CDC data lake features. Notion migrated the insert heavy workload from Snowflake to Hudi.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Lake 98

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. You need to think about the whole model lifecycle.

Machine Learning 107

Machine Learning Python Kafka Java 107