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. This is one of the major reasons behind the popularity of data science. What is the role of a Data Engineer?

Data Engineering 83

Data Engineering Data Engineer Engineering Pipeline-centric 83

Databand.ai

DECEMBER 13, 2022

Follow Joseph on LinkedIn 2) Charles Mendelson Associate Data Engineer at PitchBook Data Charles is a skilled data engineer focused on telling stories with data and building tools to empower others to do the same, all in the pursuit of guiding a variety of audiences and stakeholders to make meaningful decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 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. What is a data lake? Data warehouse vs. data lake in a nutshell.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

NOVEMBER 14, 2015

These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. These Apache Spark projects are mostly into link prediction, cloud hosting, data analysis, and speech analysis. Data Migration 2. Data Integration 3.Scalability Cloud Hosting 6.Specialized

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

APRIL 20, 2017

Having multiple hadoop projects on your resume will help employers substantiate that you can learn any new big data skills and apply them to real life challenging problems instead of just listing a pile of hadoop certifications. A multi-dimensional array of data that can be represented using a cube is called an OLAP cube.

Hadoop 40

Hadoop Big Data Coding Project 40

Cloudera

NOVEMBER 25, 2021

As data continues to grow at an exponential rate, our customers are increasingly looking to advance and scale operations through digital transformation and the cloud. Cloudera and AWS: Harnessing the Power of Data and Cloud . The Journey to the Public Cloud in Four Steps .

Amazon Web Services 88

Amazon Web Services Cloud AWS Healthcare 88

ProjectPro

NOVEMBER 7, 2016

Understanding the Hadoop architecture now gets easier! This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing.

Hadoop 40

Hadoop Architecture IT Big Data 40

Cloudera

SEPTEMBER 7, 2023

Models are trained on a financial institution’s secure data, deployed and run internally, on their own infrastructure—or externally, in virtual private cloud (VPC) infrastructure, in the case of non-sensitive workloads. Formalize rules, standards, and best practices that guide how data is to be managed and used.

Insurance 79

Insurance Finance Portfolio Government 79

Cloudera

SEPTEMBER 15, 2020

For some, this may look like a new category at this year’s Data Impact Awards. However, the Enterprise Data Cloud category marks the evolution of what was once the Data Anywhere category. How do I understand it and get meaningful insights? All this data can lead to what we call a data storm.

Cloud 63

Cloud Government Data Healthcare 63

AltexSoft

MARCH 2, 2023

In this article, we will explore what data governance is, the key components of a data governance framework, and best practices for implementing a successful data governance strategy. What is data governance? A Data Architect typically focuses on creating and building data infrastructures inside an organization.

Data Governance 52

Data Governance Government Healthcare Programming 52

Cloudera

JULY 16, 2019

A combination of on-premises, public, and private cloud platforms and data centers describes the reality for today’s businesses. For some, this hybrid mix was born of rigorous planning or even a “cloud-first” mandate. Understanding the Challenges of Hybrid Cloud. Solving Hybrid Cloud Pain Points.

Cloud 41

Cloud Government Big Data Data Architecture 41