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 89

Transportation Data Ingestion Architecture Data 89

Data Engineering Weekly

MAY 16, 2023

In the second part, we will focus on architectural patterns to implement data quality from a data contract perspective. Why is Data Quality Expensive? I won’t bore you with the importance of data quality in the blog. But before doing that, let's revisit some of the basic theories of the data pipeline.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Netflix Tech

JANUARY 25, 2023

Marken architecture Above picture represents the block diagram of the architecture for our service. On the left we show data pipelines which are created by several of our client teams to automatically ingest new data into our service. This data is used by various teams for eg.

Algorithm 113

Algorithm Media Metadata Data Ingestion 113

Knowledge Hut

APRIL 23, 2024

Two popular approaches that have emerged in recent years are data warehouse and big data. While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages. Analytics: Both data warehousing and big data platforms enable analytical capabilities.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Cloudera

AUGUST 26, 2021

In addition to big data workloads, Ozone is also fully integrated with authorization and data governance providers namely Apache Ranger & Apache Atlas in the CDP stack. 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.

Data Science 109

Data Science Cloud Hadoop Metadata 109

Cloudera

APRIL 20, 2021

Enterprises usually don’t have the adequate resources to ensure their data streams are protected. What is modern streaming architecture? A modern streaming architecture consists of critical components that provide data ingestion, security and governance, and real-time analytics. Watch a video.

Hospitality 92

Hospitality Kafka Retail Data Ingestion 92

Knowledge Hut

MARCH 19, 2024

I will explore the top 10 AWS applications and their use cases in this blog. It allows businesses to construct event-driven architectures and microservices in which functions are invoked by events like file uploads, database changes, or HTTP requests. What is AWS? Conclusion AWS has released over two hundred production-level services.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Databand.ai

AUGUST 30, 2023

Automation plays a critical role in the DataOps framework, as it enables organizations to streamline their data management and analytics processes and reduce the potential for human error. This can be achieved through the use of automated data ingestion, transformation, and analysis tools.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Data Engineering Podcast

JULY 10, 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 Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Pinterest Engineering

AUGUST 18, 2022

It involves data migration from HBase to TiDB, design and implementation of Unified Storage Service, API migration from Ixia/Zen/UMS to Unified Storage Service, and Offline Jobs migration from HBase/Hadoop ecosystem to TiSpark ecosystem while maintaining our availability and latency SLA. This strategy is the simplest and easiest to implement.

Data Ingestion 52

Data Ingestion Hadoop Database Kafka 52

Cloudera

JUNE 7, 2021

It calls out that Cloudera DataFlow “ includes streaming flow and streaming data processing unified with Cloudera Data Platform ”. Hundreds of customers across multiple industry verticals are leveraging Cloudera DataFlow today for various streaming use cases like Clickstreams, log ingestion/analysis, social stream analysis, etc.

Kafka 101

Kafka Data Ingestion Architecture Cloud 101

ProjectPro

FEBRUARY 6, 2023

Data engineers often use Google Cloud Pub/Sub to design asynchronous workflows, publish event notifications, and stream data from several processes or devices. This blog provides an overview of Google Cloud Pub/Sub that will help you understand the framework and its suitable use cases for your data engineering projects.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Cloudera

AUGUST 26, 2020

Hello Dinesh, thank you for joining us for Part II of our Q&A on streaming data. Can you talk a bit about how businesses best use Flink within a streaming architecture and what is it about the solution that promotes low latency processing of high-volume streaming data?

Banking 80

Banking Data Ingestion Kafka Data Lake 80

Data Engineering Weekly

MARCH 5, 2023

link] Netflix: Data ingestion pipeline with Operation Management Netflix writes about a unique challenge of its annotation pipeline: the need to support multiple runs of the same annotation tasks. Flair wrote a detailed blog on the reasoning behind Redshift to Snowflake migration, its journey, and its key takeaway.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Monte Carlo

JUNE 22, 2023

The goal of the Roche data team is to maximize the outcomes of customers and patients through data and analytics products. However, in early 2020 they were on legacy on-premises infrastructure in a classic monolithic architecture, with multiple physical and virtual servers that were hard to maintain and slow to scale.

Building 52

Building Data Ingestion Data Business Analyst 52

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. They work together with stakeholders to get business requirements and develop scalable and efficient data architectures.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

FEBRUARY 8, 2021

Future connected vehicles will rely upon a complete data lifecycle approach to implement enterprise-level advanced analytics and machine learning enabling these advanced use cases that will ultimately lead to fully autonomous drive. This author is passionate about industry 4.0,

Manufacturing 106

Manufacturing Machine Learning Data Ingestion Electronics 106

Snowflake

AUGUST 16, 2023

Read our Summit recap blog for highlights across industries or watch Summit sessions now on-demand. Applications Snowflake Native App Framework now available in AWS – public preview Snowflake Native Apps are an entirely new way to put data to work. Learn more about ML-Powered Functions in our blog or in Snowflake documentation.

Scala 52

Scala Transportation Kafka Data Lake 52

DareData

JULY 5, 2023

In this blog post, we aim to share practical insights and techniques based on our real-world experience in developing data lake infrastructures for our clients - let's start! Understanding the Architecture No company is alike and no infrastructure will be alike.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

LinkedIn Engineering

OCTOBER 19, 2023

To enable the ingestion and real-time processing of enormous volumes of data, LinkedIn built a custom stream processing ecosystem largely with tools developed in-house (and subsequently open-sourced). In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Rockset

MAY 12, 2022

This is the third post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! One layer processes batches of historic data.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

Netflix Tech

MARCH 7, 2023

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. Marken Architecture Marken’s architecture diagram is as follows. We refer the reader to our previous blog article for details.

Data Ingestion 105

Data Ingestion Management Algorithm Media 105

Databand.ai

JUNE 28, 2023

They’re betting their business on it and that the data pipelines that run it will continue to work. Context is crucial (and often lacking) A major cause of data quality issues and pipeline failures are transformations within those pipelines. Most data architecture today is opaque—you can’t tell what’s happening inside.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 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. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

RandomTrees

SEPTEMBER 6, 2020

Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Snowflake is an analytical data warehouse that is provided as Software-as-a-Service (SaaS). Built on new SQL database engine, it provides a unique architecture designed for the cloud.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Rockset

DECEMBER 27, 2022

In this blog, we walk through solutions to common Elasticsearch performance challenges at scale including slow indexing, search speed, shard and index sizing, and multi-tenancy. Rockset is one of the alternatives and is purpose-built for real-time streaming data ingestion and low latency queries at scale.

Data Ingestion 52

Data Ingestion NoSQL Datasets Utilities 52

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 57

Data Ingestion Kafka Java Data Pipeline 57

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Figure 1: Rill and Cloudera Architecture.

BI 83

BI Digital Media Data Warehouse Kafka 83

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 69

Data Warehouse Cloud Kafka Cloud Storage 69

Cloudera

SEPTEMBER 28, 2020

Cloudera has found that customers have spent many years investing in their big data assets and want to continue to build on that investment by moving towards a more modern architecture that helps leverage the multiple form factors. Data Science and machine learning workloads using CDSW. Background: . Install documentation.

Cloud 131

Cloud Kafka Professional Services Metadata 131

Rockset

JULY 28, 2022

CDC enables true real-time analytics on your application data, assuming the platform you send the data to can consume the events in real time. Options For Change Data Capture on MongoDB Apache Kafka The native CDC architecture for capturing change events in MongoDB uses Apache Kafka.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Why Are Data Engineering Skills In Demand? Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

MAY 9, 2019

It is meant for you to assess if you have thought through processes such as continuous data ingestion, enterprise data integration and data governance. Data infrastructure readiness – IoT architectures can be insanely complex and sophisticated. Will you be needing local edge storage? See you there!

Manufacturing 53

Manufacturing Data Ingestion Architecture Data Governance 53

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 Kafka 52

Cloudera

MAY 28, 2019

What emerges is the criticality of a data strategy and core data management competency, including both data and model management, to support enterprise ML initiatives. Cloudera customers can start building enterprise AI on their data management competencies today with the Cloudera Data Science Workbench (CDSW).

Data Science 48

Data Science Transportation Machine Learning Algorithm 48

LinkedIn Engineering

DECEMBER 12, 2023

Pinot is a columnar OLAP store that serves analytics queries on data ingested from realtime streams. In this blog, we focus on the use case of single post impression analytics where LEIA provides demographic analytics on members who viewed a post on different dimensions like company, job title, location, industry, and company size.

Algorithm 77

Algorithm Metadata SQL Datasets 77

Cloudera

DECEMBER 28, 2017

Alasdair Anderson, Executive Vice President of Big Data, Nordea Bank AB, In order for Nordea to comply, they needed a big data platform that was cost-effective, faster, efficient, and more secure than their legacy technology. Click here to listen to the full webinar with Nordea.

Banking 40

Banking Data Ingestion Big Data Data Architecture 40