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

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.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

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.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 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 79

Cloud Pharmaceutical Medical Data Warehouse 79

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 111

Manufacturing Data Warehouse Kafka Retail 111

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 73

Data Warehouse Cloud Kafka Cloud Storage 73

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 109

Manufacturing Machine Learning Data Ingestion Electronics 109

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 114

Government Building Cloud Data Ingestion 114

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 80

Cloud Metadata Data Warehouse Google Cloud 80

Cloudera

FEBRUARY 9, 2021

If you are new to Cloudera Operational Database, see this blog post. In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database. On-premises: CDP Private Cloud Base. Apache HBase data layout Cells. Data ingest.

Database 104

Database Java SQL Data Ingestion 104

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 91

Data Ingestion MySQL PostgreSQL Data Pipeline 91

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 MySQL Scala 130

Cloudera

OCTOBER 15, 2020

About this Blog. Data Discovery and Exploration (DDE) was recently released in tech preview in Cloudera Data Platform in public cloud. In this blog we will go through the process of indexing data from S3 into Solr in DDE with the help of NiFi in Data Flow. Index Data to DDE. Assumptions.

AWS 118

AWS Data Cloud Accessibility 118

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 64

Cloud Building Utilities Architecture 64

Cloudera

NOVEMBER 19, 2020

Cloudera Data Platform (CDP) is a solution that integrates open-source tools with security and cloud compatibility. Governance: With a unified data platform, government agencies can apply strict and consistent enterprise-level data security, governance, and control across all environments.

Government 120

Government Machine Learning Algorithm Raw Data 120

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 Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

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 70

Cloud Storage Big Data Cloud AWS 70

ProjectPro

FEBRUARY 6, 2023

With over 10 million active subscriptions, 50 million active topics, and a trillion messages processed per day, Google Cloud Pub/Sub makes it easy to build and manage complex event-driven systems. Google Cloud Pub/Sub is a global, cloud-based messaging framework that has become increasingly popular among data engineers over recent years.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

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. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

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 13, 2021

A global oil and gas company collects, transforms, and distributes over hundreds terabytes of desktop, server, and application log data to their SIEM per day. As the company evolves into a hybrid and multi-cloud strategy, they need to start collecting applications, servers, and network logs from the cloud.

Data Pipeline 111

Data Pipeline Data Lake ETL Tools Unstructured Data 111

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

Cloudera

JUNE 7, 2021

CDF has pioneered as a data-in-motion platform since its inception at Hortonworks several years ago. Today, it offers the breadth of products for managing data-in-motion from the edge to the cloud (or the enterprise).

Kafka 104

Kafka Data Ingestion Cloud Architecture 104

Cloudera

APRIL 20, 2021

A modern streaming architecture consists of critical components that provide data ingestion, security and governance, and real-time analytics. The three fundamental parts of the architecture are: Data ingestion that acquires the data from different streaming sources and orchestrates and augments the data from other sources.

Kafka 96

Kafka Hospitality Retail Data Ingestion 96

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

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 82

Digital Media Media Data Lake Data Warehouse 82

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 95

Transportation Data Ingestion Architecture Data 95

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

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 83

Data Lake Data Ingestion Bytes Cloud Computing 83

Cloudera

SEPTEMBER 9, 2022

Cloudera has been supporting data lakehouse use cases for many years now, using open source engines on open data and table formats, allowing for easy use of data engineering, data science, data warehousing, and machine learning on the same data, on premises, or in any cloud.

Architecture 103

Architecture Metadata Machine Learning Unstructured Data 103

Cloudera

APRIL 22, 2021

This CVD is built using Cloudera Data Platform Private Cloud Base 7.1.5 Apache Ozone is one of the major innovations introduced in CDP, which provides the next generation storage architecture for Big Data applications, where data blocks are organized in storage containers for larger scale and to handle small objects.

Pipeline-centric 102

Pipeline-centric Data Lake Hadoop Metadata 102

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 85

Government Data Ingestion Data PostgreSQL 85

Cloudera

APRIL 15, 2019

While Cloudera Flow Management has been eagerly awaited by our Cloudera customers for use on their existing Cloudera platform clusters, Cloudera Edge Management has generated equal buzz across the industry for the possibilities that it brings to enterprises in their IoT initiatives around edge management and edge data collection.

Management 17

Management Data Ingestion Data Collection Government 17

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 60

Data Ingestion Datasets Data Coding 60

Cloudera

DECEMBER 20, 2021

Understanding that the future of banking is data-driven and cloud-based, Bank of the West embraced cloud computing and its benefits, like remote capabilities, integrated processes, and flexible systems. The post Recognizing Organizations Leading the Way in Data Security & Governance appeared first on Cloudera Blog.

Government 92

Government Data Security Banking Metadata 92

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 89

Insurance Banking Data Architecture Data Ingestion 89

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