Ascend.io

JULY 28, 2023

Data pipelines are integral to business operations, regardless of whether they are meticulously built in-house or assembled using various tools. As companies become more data-driven, the scope and complexity of data pipelines inevitably expand. Ready to fortify your data management practice?

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

Netflix Tech

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in!

Data Engineering 109

Data Engineering Data Engineer Engineering Metadata 109

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 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?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Edureka

APRIL 22, 2025

Its multi-cluster shared data architecture is one of its primary features. Additionally, Fabric has deep integrations with Power BI for visualization and Microsoft Purview for governance, resulting in a smooth experience for both business users and data professionals.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

Towards Data Science

DECEMBER 4, 2023

Anyways, I wasn’t paying enough attention during university classes, and today I’ll walk you through data layers using —  guess what  —  an example. Business Scenario & Data Architecture Imagine this: next year, a new team on the grid, Red Thunder Racing, will call us (yes, me and you) to set up their new data infrastructure.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Lake 98

Data Engineering Weekly

SEPTEMBER 18, 2024

The Rise of Data Observability Data observability has become increasingly critical as companies seek greater visibility into their data processes. This growing demand has found a natural synergy with the rise of the data lake. However, as with any advanced tool, data observability comes with costs and complexities.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Data 98

Striim

NOVEMBER 17, 2023

Striim serves as a real-time data integration platform that seamlessly and continuously moves data from diverse data sources to destinations such as cloud databases, messaging systems, and data warehouses, making it a vital component in modern data architectures.

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

Cloudera

FEBRUARY 15, 2024

Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture. This results in enhanced efficiency in compliance processes.

Insurance 88

Insurance Banking Data Architecture Data Ingestion 88

phData: Data Engineering

FEBRUARY 21, 2025

On-prem data warehouses can provide lower latency solutions for critical applications that require high performance and low latency. Many companies may choose an on-prem data warehousing solution for quicker data processing to enable business decisions. Data integrations and pipelines can also impact latency.

Cloud 52

Cloud Data Warehouse Amazon Web Services Data Ingestion 52

DataKitchen

DECEMBER 30, 2020

CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far). In June of 2020, CRN featured DataKitchen’s DataOps Platform for its ability to manage the data pipeline end-to-end combining concepts from Agile development, DevOps, and statistical process control: DataKitchen.

Manufacturing 96

Manufacturing Big Data Data Pipeline Data Science 96

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Telecommunication 76

Telecommunication Data Architecture Government Architecture 76

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

Kafka 95

Kafka Technology IT Government 95

AltexSoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Big data processing.

Big Data 52

Big Data Data Process Process Hadoop 52

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery.

Medical 123

Medical Banking Telecommunication Government 123

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Architecture 124

Architecture Metadata Kafka Government 124

Data Engineering Podcast

OCTOBER 14, 2019

They provide an AWS-native, serverless, data infrastructure that installs in your VPC. Datacoral helps data engineers build and manage the flow of data pipelines without having to manage any infrastructure. They provide an AWS-native, serverless, data infrastructure that installs in your VPC.

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is the main difference between a data architect and a data engineer?

Data Architect 87

Data Architect Certification Generalist Big Data 87

AltexSoft

OCTOBER 30, 2021

But with the start of the 21st century, when data started to become big and create vast opportunities for business discoveries, statisticians were rightfully renamed into data scientists. Data scientists today are business-oriented analysts who know how to shape data into answers, often building complex machine learning models.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. Change data capture (CDC). 1: Multi-function analytics . Flexible and open file formats.

Metadata 92

Metadata Data Architecture Machine Learning BI 92

Databand.ai

AUGUST 30, 2023

It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. These systems typically consist of siloed data storage and processing environments, with manual processes and limited collaboration between teams.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Snowflake

JULY 22, 2024

Determining an architecture and a scalable data model to integrate more source systems in the future. The benefits of migrating to Snowflake start with its multi-cluster shared data architecture, which enables scalability and high performance. Features such as auto-suspend and a pay-as-you-go model help you save costs.

Government 117

Government Data Cloud Hadoop 117

Ascend.io

SEPTEMBER 6, 2024

This process not only saves time but also ensures a higher level of data integrity compared to traditional manual methods. According to a McKinsey report , AI can reduce data processing errors by up to 50%, highlighting its potential to transform data quality management.

Data Cleanse 52

Data Cleanse Data Workflow Data Pipeline Machine Learning 52

Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars. Dataflow 4.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Cloudyard

JULY 22, 2024

Read Time: 2 Minute, 57 Second Previously, data engineers used Kinesis Firehose to transfer data into blob storage (S3) and then load it into Snowflake using either Snowpipe or batch processing. This introduced latency in the data pipeline for near real-time data processing.

AWS 52

AWS Data Ingestion Data Architecture Architecture 52

Databand.ai

JULY 19, 2023

This capability is useful for businesses, as it provides a clear and comprehensive view of their data’s history and transformations. Data lineage tools are not a new concept. In this article: Why Are Data Lineage Tools Important? One of the unique features of Atlan is its human-centric design.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is the role of a Data Engineer? They are also accountable for communicating data trends. These are as follows: 1.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Data Engineering Weekly

JULY 30, 2023

[link] Slack: Service Delivery Index: A Driver for Reliability By Data & Data Engineering, we often associate with business operations and product analytics. But the power of the data pipeline to systematically measure things goes beyond business analytics. link] All rights reserved ProtoGrowth Inc, India.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Ascend.io

AUGUST 31, 2023

In the dynamic world of data, many professionals are still fixated on traditional patterns of data warehousing and ETL, even while their organizations are migrating to the cloud and adopting cloud-native data services. Central to this transformation are two shifts. Let’s take a closer look.

Data Lake 52

Data Lake Data Warehouse ETL Tools Data Pipeline 52

Monte Carlo

MAY 14, 2024

As organizations seek greater value from their data, data architectures are evolving to meet the demand — and table formats are no exception. Apache ORC (Optimized Row Columnar) : In 2013, ORC was developed for the Hadoop ecosystem to improve the efficiency of data storage and retrieval.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Knowledge Hut

MARCH 20, 2024

The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field: Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

Knowledge Hut

MARCH 15, 2024

The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field: Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

Silectis

JANUARY 3, 2021

Big Data Large volumes of structured or unstructured data. Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Knowledge Hut

DECEMBER 21, 2023

In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering? Data engineering is the method to collect, process, validate and store data. It involves building and maintaining data pipelines, databases, and data warehouses.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Data Engineering Weekly

DECEMBER 11, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Data Catalogs - A broken promise I've been a big fan of data catalogs for a long time.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

JUNE 30, 2023

The essential theories, procedures, and equipment for creating trustworthy and effective data systems are covered in this book. It explores subjects including data modeling, data pipelines, data integration, and data quality, offering helpful advice on organizing and implementing reliable data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52