Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested.

Architecture 102

Architecture Metadata Machine Learning Unstructured Data 102

Cloudera

DECEMBER 4, 2024

For more than a decade, Cloudera has been an ardent supporter and committee member of Apache NiFi, long recognizing its power and versatility for data ingestion, transformation, and delivery. Accelerating GenAI with Powerful New Capabilities Cloudera DataFlow 2.9

Data Pipeline 93

Data Pipeline Data Ingestion Data Preparation Architecture 93

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

Snowflake

MARCH 2, 2023

As part of this, we are also supporting Snowpipe Streaming as an ingestion method for our Snowflake Connector for Kafka. This solution is both scalable and reliable, as we have been able to effortlessly ingest upwards of 1GB/s throughput.” How does Snowpipe Streaming work?

Kafka 136

Kafka Data Ingestion Data Pipeline Cloud Storage 136

Snowflake

JANUARY 26, 2023

Given the complexity of ingesting OT systems data in near real time, Snowflake is establishing a standardized reference architecture. Working with our partners, this standardized reference architecture provides edge connectivity hardware supporting edge analytics, in addition to being a gateway device.

Data Ingestion 52

Data Ingestion Manufacturing Unstructured Data Architecture 52

Data Engineering Podcast

MAY 29, 2022

In this episode SVP of engineering Shireesh Thota describes the impact on your overall system architecture that Singlestore can have and the benefits of using a cloud-native database engine for your next application. That’s where our friends at Ascend.io What are the core sets of workloads that SingleStore is aimed at addressing?

Database 100

Database Architecture Data Architecture PostgreSQL 100

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.

Data Ingestion 59

Data Ingestion Kafka Java Data Pipeline 59

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.

Data Ingestion 141

Data Ingestion Data Engineer Data Engineering Architecture 141

Data Engineering Weekly

MARCH 5, 2025

While the Iceberg itself simplifies some aspects of data management, the surrounding ecosystem introduces new challenges: Small File Problem (Revisited): Like Hadoop, Iceberg can suffer from small file problems. Data ingestion tools often create numerous small files, which can degrade performance during query execution.

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

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

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

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

Rockset

MAY 3, 2023

In scenarios involving analytics on massive data streams, we’re often asked the maximum throughput and lowest data latency Rockset can achieve and how it stacks up to other databases. For this benchmark, we evaluated Rockset and Elasticsearch ingestion performance on throughput and data latency. How did we do it?:

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Zalando Engineering

MARCH 6, 2025

Real-time data access is critical in e-commerce, ensuring accurate pricing and availability. At Zalando, our event-driven architecture for Price and Stock updates became a bottleneck, introducing delays and scaling challenges. This architecture made Offer processing slow, expensive, and fragile. Whats Next?

Algorithm 63

Algorithm Architecture Transportation Data Ingestion 63

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

Data Engineering Weekly

MARCH 23, 2025

s architecture, key capabilities (discoverability, access control, resource management, monitoring), client interfaces (UI, APIs, CLIs), benefits (agility, ownership, performance, security), and future considerations like self-serve onboarding, infrastructure as code, and an AI assistant. and then to Nuage 3.0,

Data Engineer 62

Data Engineer Data Engineering Engineering Data 62

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

Monte Carlo

NOVEMBER 22, 2024

Let’s walk through how to transform your scrappy data setup into a robust pipeline that’s ready to grow with your business. At the front end, you’ve got your data ingestion layer —the workhorse that pulls in data from everywhere it lives. Once you’ve got the data flowing in, you need somewhere to put it.

Data Engineer 52

Data Engineer Data Engineering Building Engineering 52

Cloudyard

MARCH 4, 2023

Read Time: 5 Minute, 16 Second As we know Snowflake has introduced latest badge “Data Cloud Deployment Framework” which helps to understand knowledge in designing, deploying, and managing the Snowflake landscape. Respective Cloud would consume/Store the data in bucket or containers. Snowpipe to automate the ingestion process.

Architecture 52

Architecture Cloud Metadata Data Ingestion 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.

Data Ingestion 125

Data Ingestion Cloud Architecture Accessibility 125

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.

Data Ingestion 52

Data Ingestion Data Lake Data Architecture Architecture 52

Databand.ai

AUGUST 30, 2023

DataOps Architecture: 5 Key Components and How to Get Started Ryan Yackel August 30, 2023 What Is DataOps Architecture? DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

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 104

Data Lake Data Ingestion Bytes Cloud Computing 104

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. Data scientists also benefited from a scalable environment to build machine learning models without fear of system crashes.

Digital Media 102

Digital Media Media Data Lake Data Warehouse 102

Snowflake

JUNE 4, 2024

Snowflake provides a strong data foundation anchored on unified data, optimal TCO and universal governance. The Snowflake platform eliminates silos to enable any architectural pattern, while supporting all data types and workloads. Getting data ingested now only takes a few clicks, and the data is encrypted.

Government 106

Government Data Ingestion Data PostgreSQL 106

Data Engineering Podcast

NOVEMBER 20, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Lake 130

Data Lake Data Ingestion MongoDB MySQL 130

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.

Systems 52

Systems Management Hospitality Healthcare 52

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. Ingestion layer 2.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Rockset

OCTOBER 11, 2022

The flow of data often involves complex ETL tooling as well as self-managing integrations to ensure that high volume writes, including updates and deletes, do not rack up CPU or impact performance of the end application. That’s because Elasticsearch can only write data to one index.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 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?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Lyft Engineering

NOVEMBER 29, 2023

Druid at Lyft Apache Druid is an in-memory, columnar, distributed, open-source data store designed for sub-second queries on real-time and historical data. Druid enables low latency (real-time) data ingestion, flexible data exploration and fast data aggregation resulting in sub-second query latencies.

Kafka 106

Kafka Data Ingestion Architecture Datasets 106

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. Ingestion layer 2.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Cloudera

NOVEMBER 1, 2023

And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database. High-level overview of real-time data ingest with Cloudera DataFlow to Pinecone vector database.

Machine Learning 110

Machine Learning Data Ingestion Database Architecture 110

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. Benjamin Kennedy, Cloud Solutions Architect at Striim, emphasizes the outcome-driven nature of data pipelines.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Cloudera

AUGUST 11, 2022

And while operations in the cyber-domain are more likely to make the evening news, there are a vast array of critical use cases that support the military’s need for a data architecture that collects, processes, and delivers any type of data, anywhere. . Universal Data Distribution Solves DoD Data Transport Challenges.

Transportation 94

Transportation Data Ingestion Architecture Data 94

The Modern Data Company

JULY 29, 2024

This dramatic increase in vendors hasn’t led to the expected data revolution. Rather, it has created needlessly complex data architectures that are inflexible, resist change, and stifle innovation. It’s a final, frustrating hurdle in the race to become truly data-driven.

Data Architecture 52

Data Architecture Architecture Building Pipeline-centric 52

Ascend.io

JULY 28, 2023

As companies become more data-driven, the scope and complexity of data pipelines inevitably expand. Without a well-planned architecture, these pipelines can quickly become unmanageable, often reaching a point where efficiency and transparency take a backseat, leading to operational chaos. What Is Data Pipeline Architecture?

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52