Rockset

MAY 3, 2023

lower latency than Elasticsearch for streaming data ingestion. In this blog, we’ll walk through the benchmark framework, configuration and results. 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.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

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.

Data Ingestion 52

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.

Data Ingestion 90

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.

Kafka 125

Kafka Data Ingestion Data Pipeline Cloud Storage 125

Snowflake

NOVEMBER 19, 2024

They also monitor potential challenges and advise on proven patterns to help ensure a successful data migration. Additionally, this blog will shed light on some of Snowflake's proven features to help you optimize the value of your migration efforts. Migrating enterprise data to the cloud can be a daunting task.

Cloud 52

Cloud Data Ingestion Data Validation Data Security 52

DataKitchen

MAY 10, 2024

Harnessing Data Observability Across Five Key Use Cases The ability to monitor, validate, and ensure data accuracy across its lifecycle is not just a luxury—it’s a necessity. Data Evaluation Before new data sets are introduced into production environments, they must be thoroughly evaluated and cleaned.

Data Ingestion 57

Data Ingestion Datasets Data Coding 57

Snowflake

OCTOBER 16, 2024

For organizations who are considering moving from a legacy data warehouse to Snowflake, are looking to learn more about how the AI Data Cloud can support legacy Hadoop use cases, or are struggling with a cloud data warehouse that just isn’t scaling anymore, it often helps to see how others have done it.

Digital Media 81

Digital Media Media Data Lake Data Warehouse 81

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

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 Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

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.

Data Ingestion 53

Data Ingestion Transportation High Quality Data Data Schemas 53

Cloudyard

JULY 31, 2024

Read Time: 2 Minute, 5 Second In the modern data landscape, the common challenge is efficiently handling and integrating new data from various files into data warehouses. This procedure automates the table creation and data loading process, ensuring that the data ingests accurately and efficiently.

Data Ingestion 52

Data Ingestion Data Warehouse Coding Designing 52

Team Data Science

MAY 10, 2020

I can now begin drafting my data ingestion/ streaming pipeline without being overwhelmed. With careful consideration and learning about your market, the choices you need to make become narrower and more clear.

Data Pipeline 130

Data Pipeline Data Ingestion AWS Kafka 130

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Data Engineering Weekly

APRIL 21, 2024

The blog narrates how Chronon fits into Stripe’s online and offline requirements. link] GoodData: Building a Modern Data Service Layer with Apache Arrow GoodData writes about using Apache Arrow to build an efficient service layer. The result is to adopt data contract solutions with type standardization and auto-generate schemas.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Snowflake

APRIL 18, 2024

This blog post explores how Snowflake can help with this challenge. Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. But what if security teams didn’t have to make tradeoffs?

Data Lake 82

Data Lake Data Ingestion Bytes Cloud Computing 82

Rockset

JANUARY 30, 2024

Microbatching : An option to microbatch ingestion based on the latency requirements of the use case. In this blog, we delve into each of these features and how they are giving users more cost controls for their search and AI applications. This is not a hands-free operation and also involves the transfer of data across nodes.

Data Ingestion 64

Data Ingestion Utilities Architecture SQL 64

Snowflake

JUNE 4, 2024

To make it easier for you to have better visibility, control and optimization of your Snowflake spend, Snowflake recently added new capabilities to the generally available Cost Management Interface that you can learn more about in this blog. Getting data ingested now only takes a few clicks, and the data is encrypted.

Government 84

Government Data Ingestion Data PostgreSQL 84

Databand.ai

AUGUST 30, 2023

DataOps , short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization. Accelerated Data Analytics DataOps tools help automate and streamline various data processes, leading to faster and more efficient data analytics.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

Data Engineering Weekly

SEPTEMBER 18, 2024

End-to-End Observability: The tool should provide full visibility across the entire pipeline, including data ingestion, transformation, and consumption. It should offer: - Data lineage tracking: Understand the flow and transformations of data through various systems.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Datasets 98

Cloudera

NOVEMBER 1, 2023

The connector makes it easy to update the LLM context by loading, chunking, generating embeddings, and inserting them into the Pinecone database as soon as new data is available. 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

Cloudera

FEBRUARY 15, 2024

Data integration and ingestion: With robust data integration capabilities, a modern data architecture makes real-time data ingestion from various sources—including structured, unstructured, and streaming data, as well as external data feeds—a reality.

Insurance 88

Insurance Banking Data Architecture Data Ingestion 88

Cloudyard

MAY 7, 2024

Read Time: 1 Minute, 39 Second Many organizations leverage Snowflake stages for temporary data storage. However, with ongoing data ingestion and processing, it’s easy to lose track of stages containing old, potentially unnecessary data. This can lead to wasted storage costs.

Data Ingestion 52

Data Ingestion Data Storage Utilities Coding 52

Pinterest Engineering

NOVEMBER 7, 2023

Jeff Xiang | Software Engineer, Logging Platform Vahid Hashemian | Software Engineer, Logging Platform Jesus Zuniga | Software Engineer, Logging Platform At Pinterest, data is ingested and transported at petabyte scale every day, bringing inspiration for our users to create a life they love.

Kafka 110

Kafka Java Software Engineer Software Engineering 110

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

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Fast, Safe Development and Deployment (#4) Introduction The integrity and functionality of new code, tools, and configurations during the development and deployment stages are crucial. This process is critical as it ensures data quality from the onset.

Data Ingestion 50

Data Ingestion Datasets Coding Data 50

Edureka

FEBRUARY 9, 2023

As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform. As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Ascend.io

DECEMBER 21, 2022

21, 2022 – Ascend.io , The Data Automation Cloud, today announced they have partnered with Snowflake , the Data Cloud company, to launch Free Ingest , a new feature that will reduce an enterprise’s data ingest cost and deliver data products up to 7x faster by ingesting data from all sources into the Snowflake Data Cloud quickly and easily.

Data Ingestion 52

Data Ingestion Google Cloud Data Lake Cloud 52

Snowflake

APRIL 9, 2024

To improve go-to-market (GTM) efficiency, Snowflake created a bi-directional data share with Outreach that provides consistent access to the current version of all our customer engagement data. In this blog, we’ll take a look at how Snowflake is using data sharing to benefit our SDR teams and marketing data analysts.

BI 77

BI Data Ingestion Data Aggregated Data 77

Lyft Engineering

NOVEMBER 29, 2023

In this particular blog post, we explain how Druid has been used at Lyft and what led us to adopt ClickHouse for our sub-second analytic system. 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.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Striim

JUNE 6, 2024

Conversely, high latency can hinder your organization’s data integration and streaming efforts. As data-driven decision-making becomes increasingly vital, the importance of minimizing latency has never been clearer. The way that you can do so is by harnessing real-time data processing over batch processing methodologies.

Data Integration 52

Data Integration Data Ingestion Healthcare Data Pipeline 52

Cloudera

OCTOBER 13, 2021

Read the book to find out what they mean, and why NiFi is an essential tool for data ingestion and movement. Don’t know what data ingestion is? Hint: Data ingestion is the process of consuming excessively large volumes of data easily to enable enterprise analytics or to feed into ML models. .

Machine Learning 74

Machine Learning Data Ingestion Algorithm Technology 74

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs.

Raw Data 50

Raw Data Data Ingestion Datasets Data 50

Cloudera

AUGUST 11, 2022

Universal Data Distribution Solves DoD Data Transport Challenges. These requirements could be addressed by a Universal Data Distribution (UDD) architecture. UDD provides the capability to connect to any data source anywhere, with any structure, process it, and reliably deliver prioritized sensor data to any destination.

Transportation 94

Transportation Data Ingestion Architecture Data 94

phData: Data Engineering

MARCH 8, 2023

Fivetran, a cloud-based automated data integration platform, has emerged as a leading choice among businesses looking for an easy and cost-effective way to unify their data from various sources. At phData, we regularly use Fivetran for data ingestion as a part of our data migration projects.

IT 96

IT Data Warehouse Data Ingestion Data Integration 96

databricks

MAY 31, 2023

Data ingestion into the Lakehouse can be a bottleneck for many organizations, but with Databricks, you can quickly and easily ingest data of.

Data Ingestion 92

Data Ingestion Data 92

Christophe Blefari

MARCH 4, 2023

I'll try to think about it in the following weeks to understand where I go for the third year of the newsletter and the blog. After last week question about your consideration of a paying subscription I got a few feedbacks and it helped me a lot realise how you see the newsletter and what it means for a you. So thank you for that.

Machine Learning 130

Machine Learning AWS Data Data Lake 130