Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction to the Data Mesh Architecture and its Required Capabilities.

Architecture 124

Architecture Metadata Government Kafka 124

Knowledge Hut

NOVEMBER 21, 2023

A firm's knowledge and interactive apps can be protected against pooled liability with cloud providers while using cloud security architecture. More companies are trying to speed up their operations by shifting infrastructure and data to the cloud, increasing the need for security.

Cloud Computing 52

Cloud Computing Architecture Cloud Accessible 52

Data Engineering Podcast

SEPTEMBER 24, 2021

Your host is Tobias Macey and today I’m interviewing Ehsan Totoni about Bodo, a system for automatically optimizing and parallelizing python code for massively parallel data processing and analytics Interview Introduction How did you get involved in the area of data management?

Data Process 100

Data Process Python Process Data Lake 100

Databand.ai

AUGUST 30, 2023

DataOps Architecture: 5 Key Components and How to Get Started Ryan Yackel August 30, 2023 What Is DataOps Architecture? DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

Architecture 52

Architecture Generalist Government Datasets 52

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

The trend towards powerful in-house cloud platforms for data and analysis ensures that large volumes of data can increasingly be stored and used flexibly. This aspect can be applied well to Process Mining, hand in hand with BI and AI. This centralized approach streamlines data governance and management, enhancing efficiency.

Architecture 52

Architecture Database-centric Process BI 52

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. It allows data scientists to analyze large datasets and interactively run jobs on them from the R shell. Big data processing.

Big Data 52

Big Data Data Process Process Hadoop 52

Ascend.io

JULY 28, 2023

As companies become more data-driven, the scope and complexity of data pipelines inevitably expand. Without a well-planned architecture, these pipelines can quickly become unmanageable, often reaching a point where efficiency and transparency take a backseat, leading to operational chaos. What Is Data Pipeline Architecture?

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

Workfall

JUNE 27, 2023

It means that there is a high risk of data loss but Apache Kafka solves this because it is distributed and can easily scale horizontally and other servers can take over the workload seamlessly. Kafka can also be used to stream data from IoT devices or sensors. Let’s get started! appeared first on The Workfall Blog.

Kafka 75

Kafka Architecture AWS Transportation 75

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 62

Data Architecture Architecture Data Governance Government 62

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? Why is data pipeline architecture important?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse? Its analytical skills enable companies to gain significant insights from their data and make better decisions.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

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Process Data Process Pharmaceutical Data Lake 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

AltexSoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Data warehouse vs. data lake in a nutshell.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Snowflake

JULY 18, 2023

Democratized data compliance for everyone that needs it The company’s target customers are generally compliance professionals whose roles don’t naturally involve the deep-dive data processing and manipulation skills necessary for dealing with complex data sets. The Data Cloud unlocks massive go-to-market opportunities.”

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Data Process Process Data Lake Data Ingestion 52

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. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

AltexSoft

AUGUST 22, 2022

What’s more, Gartner identifies data fabric implementation as one of the top strategic technology trends for 2022 and expects that by 2024, data fabric deployments will increase the efficiency of data use while halving human-driven data management tasks. What is data fabric? Data fabric architecture example.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Confluent

JUNE 18, 2019

As soon as the number of data points involved in your search feature increases, typically we’ll introduce a broker in between all the involved components. This architectural pattern provides several benefits: Better scalability by allowing multiple data producers and consumers to run in parallel.

Architecture 94

Architecture Building Kafka Database-centric 94

DoorDash Engineering

NOVEMBER 21, 2022

Creating a general framework for the Kafka and Cadence portions makes the system easily extensible, as adding new functionality involves only writing the core business logic that needs to be updated, saving the developer the time and effort for thinking about how to move the data around in a fast and durable way.

Data Process 57

Data Process Process Kafka Database 57

U-Next

SEPTEMBER 22, 2022

There is no question that cloud computing is here to stay because its architecture is simple, stating its components and subcomponents in clear terms. Let’s dive in to understand what cloud computing is, what is cloud computing architecture and its components. . What Is Cloud Computing Architecture? . Back-End .

Cloud Computing 40

Cloud Computing Architecture Cloud IT 40

ProjectPro

JANUARY 25, 2022

Features of PySpark The PySpark Architecture Popular PySpark Libraries PySpark Projects to Practice in 2022 Wrapping Up FAQs Is PySpark easy to learn? Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

DECEMBER 28, 2021

Whether you're working with semi-structured, structured, streaming, or machine learning data, Apache Spark is a fast, easy-to-use framework that allows you to solve various complex data issues. The "source" operator receives data, while the "sink" operators perform the output to downstream systems.

Architecture 52

Architecture Kafka Java Scala 52

Snowflake

JANUARY 30, 2023

After four months of testing, du Toit and his team had moved one of its databases to Snowflake for bulk data processing. Ramp fetches and delivers data into S3 buckets as well as uses dbt to transform data at each stage. “Snowflake quickly beat the other vendors we were looking at in terms of price and features.”

Data Architecture 52

Data Architecture Architecture Management Datasets 52

Data Engineering Podcast

DECEMBER 31, 2018

How does that work and what options exist for managing the lifecycle of the data in the cluster? For someone who wants to build an application on top of Pravega, what interfaces does it provide and what architectural patterns does it lend itself toward? How is Pravega architected internally? How is Pravega architected internally?

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Lambda Architecture Process Data Process Kafka 100

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. In this way, we don’t think about solution architecture in just one dimension. Data evolution.

Architecture 88

Architecture Programming Kafka Database-centric 88

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

Data Process 40

Data Process Process Building Machine Learning 40

Knowledge Hut

APRIL 25, 2024

Big data is a term that refers to the massive volume of data that organizations generate every day. In the past, this data was too large and complex for traditional data processing tools to handle. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. An Open, Modular Architecture for IoT. Key components of the end-to-end architecture.

Architecture 47

Architecture Machine Learning Cloud Data Security 47

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

Rockset

FEBRUARY 6, 2019

Aggregator Leaf Tailer (ALT) is the data architecture favored by web-scale companies, like Facebook, LinkedIn, and Google, for its efficiency and scalability. In this blog post, I will describe the Aggregator Leaf Tailer architecture and its advantages for low-latency data processing and analytics.

Lambda Architecture 40

Lambda Architecture Architecture MongoDB Kafka 40

Cloudera

MAY 30, 2024

Here’s what implementing an open data lakehouse with Cloudera delivers: Integration of Data Lake and Data Warehouse : An open data lakehouse brings together the best of both worlds by integrating the storage flexibility of a data lake with the query performance and structured querying capabilities of a data warehouse.

Data Lake 63

Data Lake Data Warehouse Programming Language Data Ingestion 63

Data Engineering Weekly

DECEMBER 2, 2023

The Current State of the Data Architecture S3 intelligent tiered storage provides a fine balance between the cost and the duration of the data retention. However, the real-time insight on accessing the recent data remains a big challenge. The combination of stream processing + OLAP storage like Pinot. What is Next?

IT 85

IT BI AWS Kafka 85

ProjectPro

JUNE 4, 2015

The holistic view of Hadoop architecture gives prominence to Hadoop common, Hadoop YARN, Hadoop Distributed File Systems (HDFS ) and Hadoop MapReduce of the Hadoop Ecosystem. HDFS in Hadoop architecture provides high throughput access to application data and Hadoop MapReduce provides YARN based parallel processing of large data sets.

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Hadoop Architecture IT Java 52