Snowflake

MARCH 2, 2023

Now we are able to ingest our data in near real time directly from Kafka topics to a Snowflake table, drastically reducing the cost of ingestion and improving our SLA from 15 minutes to within 60 seconds. Streaming data and historical data should not live in silos or cause infrastructure management complexity.

Kafka 125

Kafka Data Ingestion Data Pipeline Cloud Storage 125

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.

Architecture 52

Architecture Cloud Metadata Data Ingestion 52

Snowflake

OCTOBER 16, 2024

Many of our customers — from Marriott to AT&T — start their journey with the Snowflake AI Data Cloud by migrating their data warehousing workloads to the platform. This blog is the first in a three-part series on migrations.

Digital Media 81

Digital Media Media Data Lake Data Warehouse 81

Cloudera

APRIL 26, 2023

Data is core to decision making today and organizations often turn to the cloud to build modern data apps for faster access to valuable insights. With cloud operating models, decision making can be accelerated, leading to competitive advantages and increased revenue. What is cloud native exactly?

Cloud 63

Cloud Building Utilities Architecture 63

Rockset

OCTOBER 11, 2022

Rockset, on the other hand, is a cloud-native database, removing a lot of the tooling and overhead required to get data into the system. 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.

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

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

Ascend.io

JUNE 6, 2023

In the world of cloud computing, efficiency isn’t just about running operations faster or smoother — it’s also about achieving more with less. Understanding and controlling cloud costs is a fundamental part of how Ascend manages the cloud infrastructure of our dedicated deployment customers.

Cloud 52

Cloud Data Pipeline Data Ingestion Cloud Storage 52

Cloudera

FEBRUARY 10, 2022

After the launch of Cloudera DataFlow for the Public Cloud (CDF-PC) on AWS a few months ago, we are thrilled to announce that CDF-PC is now generally available on Microsoft Azure, allowing NiFi users on Azure to run their data flows in a cloud-native runtime. . The need for a cloud-native Apache NiFi service on Microsoft Azure.

Cloud 115

Cloud Kafka AWS Data Ingestion 115

Towards Data Science

JANUARY 26, 2023

In this post we consider the case in which our data application requires access to one or more large files that reside in cloud object storage. This continues a series of posts on the topic of efficient ingestion of data from the cloud (e.g., here , here , and here ). CPU cores and TCP connections).

Cloud Storage 71

Cloud Storage Big Data Cloud AWS 71

Cloudera

DECEMBER 15, 2022

For example, Modak Nabu is helping their enterprise customers accelerate data ingestion, curation, and consumption at petabyte scale. Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation.

Cloud 79

Cloud Metadata Google Cloud Data Warehouse 79

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. The customer is a heavy user of Kafka for data ingestion.

Cloud 132

Cloud Kafka Professional Services Metadata 132

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

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

Cloudera

DECEMBER 21, 2020

Companies that digitize quickly and across their entire enterprise – by adopting hybrid cloud for instance – are able to adapt more effectively to the changing consumption trends. Enhancing Online Customer Experience with Data . With CDP, retailers can quickly consolidate data across various environments (e.g.,

Retail 92

Retail Cloud Food Government 92

phData: Data Engineering

FEBRUARY 16, 2023

At phData, we’re starting to see a sharp increase in clients who are looking to migrate to dbt Cloud from dbt Core. This is due to a number of reasons, which we covered in a previous blog post , but in short, it’s primarily due to a need to accelerate platform adoption outside of central IT teams. ex: OKTA, Azure AD, Google, etc).

Cloud 52

Cloud Database Data Ingestion Coding 52

Cloudera

APRIL 13, 2021

What’s the fastest and easiest path towards powerful cloud-native analytics that are secure and cost-efficient? In our humble opinion, we believe that’s Cloudera Data Platform (CDP). And sure, we’re a little biased—but only because we’ve seen firsthand how CDP helps our customers realize the full benefits of public cloud. .

Cloud 78

Cloud Pharmaceutical Medical Data Warehouse 78

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. Now there are a few ways to ingest data into Snowflake.

Data Lake 82

Data Lake Data Ingestion Bytes Cloud Computing 82

Snowflake

JUNE 4, 2024

Supporting open storage architectures The AI Data Cloud is a single platform for processing and collaborating on data in a variety of formats, structures and storage locations, including data stored in open file and table formats. These capabilities can even be extended to Iceberg tables created by other engines.

Government 84

Government Data Ingestion Data PostgreSQL 84

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

Rockset

JANUARY 30, 2024

In 2023, Rockset announced a new cloud architecture for search and analytics that separates compute-storage and compute-compute. With this architecture, users can separate ingestion compute from query compute, all while accessing the same real-time data. minutes to batch load the data.

Data Ingestion 64

Data Ingestion Utilities Architecture SQL 64

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

Meta: Introducing Meta Llama 3 - The most capable openly available LLM to date Meta is taking an interesting approach in the growing LLM market with the open source approach and distribution across all the leading cloud providers and data platforms. The blog narrates how Chronon fits into Stripe’s online and offline requirements.

Data Engineer 52

Data Engineer Data Engineering Engineering Medical 52

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 Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Christophe Blefari

JANUARY 20, 2024

Data engineering inherits from years of data practices in US big companies. Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. Understand Change Data Capture — CDC.

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Striim

SEPTEMBER 11, 2024

Dmitriy Rudakov , Director of Solutions Architecture at Striim, describes it as “a program that moves data from source to destination and provides transformations when data is inflight.” Benjamin Kennedy, Cloud Solutions Architect at Striim, emphasizes the outcome-driven nature of data pipelines. “A

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

phData: Data Engineering

MARCH 8, 2023

With so many data integration tools available in the market, it can be difficult to determine which one is the best fit for your organization. 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.

IT 96

IT Data Warehouse Data Ingestion Data Integration 96

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

Data Engineering Podcast

JUNE 19, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Sign up free… or just get the free t-shirt for being a listener of the Data Engineering Podcast at dataengineeringpodcast.com/rudder.

Metadata 130

Metadata MongoDB Scala MySQL 130

Data Engineering Weekly

SEPTEMBER 18, 2024

Integration & Connectivity: The tool should seamlessly connect with your data sources, whether SaaS applications, databases, or cloud platforms. Data Quality Monitoring: Evaluate whether the tool can continuously monitor essential metrics such as: - Schema drift detection: Automatically alerts you when schema changes occur.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Datasets 98

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. How to run dbt with BigQuery in GitHub Actions — When you're starting with dbt you don't need any orchestrator or dbt Cloud, a CI/CD do it for sure. So thank you for that.

Machine Learning 130

Machine Learning AWS Data Data Lake 130

Cloudera

AUGUST 11, 2022

To drive these data use cases, the Department of Defense (DoD) communities and branches require a reliable, scalable data transport mechanism to deliver data (from any source) from origination through all points of consumption; at the edge, on-premise, and in the cloud in a simple, secure, universal, and scalable way.

Transportation 94

Transportation Data Ingestion Architecture Data 94

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 109

Manufacturing Data Warehouse Kafka Retail 109

Cloudera

FEBRUARY 8, 2021

The vehicle-to-cloud solution driving advanced use cases. Airbiquity, Cloudera, NXP, Teraki, and Wind River teamed to collaborate on The Fusion Project whose objective is to define and provide an integrated solution from vehicle edge to cloud addressing the challenges associated with a fragmented machine learning data management lifecycle.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Cloudera

JULY 9, 2021

While certainly not a new concept, Government missions are wholly dependent on real time access/analysis of data (wherever it may be (legacy data centers or public cloud) to render insight to support operational decisions. A long one that isn’t always easy or linear.

Government 113

Government Building Cloud Data Ingestion 113

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes. The post Back to the Financial Regulatory Future appeared first on Cloudera Blog.

Insurance 88

Insurance Banking Data Architecture Data Ingestion 88

DataKitchen

NOVEMBER 5, 2024

This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs. By storing data in its native state in cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure ADLS, the Bronze layer preserves the full fidelity of the data.

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79