Knowledge Hut

DECEMBER 21, 2023

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. The purpose of data engineering is to analyze data and make decisions easier.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Data Engineering Podcast

JUNE 19, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

Data Engineering Podcast

DECEMBER 25, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you're ready to build your next pipeline, or want to test out the projects you hear about on the show, you'll need somewhere to deploy it, so check out our friends at Linode.

Building 100

Building Metadata Business Intelligence Data Lake 100

Data Engineering Podcast

JUNE 26, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Data Engineering Podcast

JUNE 12, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Data Engineering Podcast

JULY 3, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. Tired of deploying bad data?

Architecture 100

Architecture Metadata MongoDB MySQL 100

Data Engineering Podcast

JULY 17, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. Tired of deploying bad data?

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

OCTOBER 5, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Engineering 100

Engineering MongoDB Kafka Data Lake 100

Data Engineering Podcast

NOVEMBER 20, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Data Engineering Podcast

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with.

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

JULY 10, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. Tired of deploying bad data?

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Viele Unternehmen sind gerade auf dem Weg zum Data-Driven Business, einer Unternehmensführung, die für ihre Entscheidungen auf transparente Datengrundlagen setzt und unter Einsatz von Business Intelligence, Data Science sowie der Automatisierung mit Deep Learning und RPA operative Prozesse so weit wie möglich automatisiert.

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Data Engineering Podcast

JUNE 5, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Data Security 100

Data Security Metadata MongoDB Scala 100

Data Engineering Podcast

OCTOBER 9, 2022

Summary The core of any data platform is the centralized storage and processing layer. For many that is a data warehouse, but in order to support a diverse and constantly changing set of uses and technologies the data lakehouse is a paradigm that offers a useful balance of scale and cost, with performance and ease of use.

Metadata 100

Metadata AWS MongoDB MySQL 100

Knowledge Hut

DECEMBER 26, 2023

Thus, to build a career in Data Science, you need to be familiar with how the business operates, its business model, strategies, problems, and challenges. Data Science Roles As Data Science is a broad field, you will find multiple different roles with different responsibilities.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

APRIL 25, 2023

Data engineers add meaning to the data for companies, be it by designing infrastructure or developing algorithms. The practice requires them to use a mix of various programming languages, data warehouses, and tools. While they go about it - enter big data data engineer tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Knowledge Hut

JUNE 23, 2023

You must develop predictive models to help industries and businesses make data-driven decisions. Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer. You can start as a software administrator, a database analyst, or a business intelligence analyst.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Structured data is modeled to be easily searchable and occupy minimal storage space.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JUNE 20, 2023

Skills A data engineer should have good programming and analytical skills with big data knowledge. Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters. It aids in tasks like generating real-time dashboards and preparing data reports.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Data Science Blog: Data Engineering

SEPTEMBER 24, 2021

This suits best for businesses which use OLTP (Online Transaction Processing) for IT-Systems such like ERP- or CRM-Systems. Furthermore, it can also be a good choice for OLAP (Online Analytical Processing) which is used in Data Warehouses. The post ACID vs BASE Concepts appeared first on Data Science Blog (English only).

NoSQL 52

NoSQL Data Warehouse Database MongoDB 52

AltexSoft

MAY 14, 2021

With the ETL approach, data transformation happens before it gets to a target repository like a data warehouse, whereas ELT makes it possible to transform data after it’s loaded into a target system. Data storage and processing. Cassandra is an open-source NoSQL database developed by Apache.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Databand.ai

DECEMBER 13, 2022

We’d be remiss not to share that Joseph was a recent guest on Databand’s MAD Data Podcast , where he discussed ways to keep data systems from becoming unwieldy and shared tips for data teams to manage their data warehouses and keep data pipelines running reliably. You can also watch the video recording.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

DECEMBER 7, 2021

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

AltexSoft

OCTOBER 8, 2021

Data integration defines the process of collecting data from a number of disparate source systems and presenting it in a unified form within a centralized location like a data warehouse. So, why is data integration such a big deal? Connections to both data warehouses and data lakes are possible in any case.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

AltexSoft

OCTOBER 21, 2022

A publisher (say, telematics or Internet of Medical Things system) produces data units, also called events or messages , and directs them not to consumers but to a middleware platform — a broker. A subscriber is a receiving program such as an end-user app or business intelligence tool. You can find off-the-shelf links for.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

AUGUST 24, 2021

Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

JULY 29, 2022

Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. a suitable technology to implement data lake architecture.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

JUNE 17, 2015

According to Dice, the number of big data jobs for professionals with experience in a NoSQL databases like MongoDB, Cassandra and HBase has increased by 54% since last year. The big data phenomenon is just incomplete without the use of popular NoSQL databases like MongoDB, Cassandra, HBase Neo4j, CouchDB, Riak and Redis.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

ProjectPro

JULY 27, 2021

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Data modeling is a technique that defines and analyzes the data requirements needed to support business processes. The process of data modeling begins with stakeholders providing business requirements to the data engineering team.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JANUARY 31, 2023

Query Surge provides the following benefits: Enhances testing speeds thousands of times while covering the entire data set. Query Surge helps us automate our manual efforts in Big Data testing. It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers.

Big Data 52

Big Data Hadoop AWS Relational Database 52