Data Engineering Podcast

MARCH 11, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure When you’re ready to launch your next project you’ll need somewhere to deploy it. You first co-authored Refactoring Databases in 2006. You first co-authored Refactoring Databases in 2006.

Database 100

Database MongoDB NoSQL Insurance 100

Data Engineering Podcast

MAY 6, 2019

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 100

Systems MongoDB NoSQL Database 100

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Data Engineering Podcast

APRIL 14, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is brought to you by Datafold – a testing automation platform for data engineers that prevents data quality issues from entering every part of your data workflow, from migration to dbt deployment.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Knowledge Hut

MARCH 15, 2024

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

ProjectPro

NOVEMBER 14, 2015

Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Data Integration 3.Scalability

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

JUNE 20, 2023

The generalist position would suit a data scientist looking for a transition into a data engineer. Pipeline-Centric Engineer: These data engineers prefer to serve in distributed systems and more challenging projects of data science with a midsize data analytics team.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

Big data certifications are the best way to achieve that. Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. through real-time projects and case studies.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

JANUARY 23, 2024

While major businesses rely on dedicated frontend and backend developers to work on diverse projects, startups also value the services of full stack engineers. Problem-Solving Prowess: Navigate complexities of APIs, implement robust security protocols, and maintain effective communication with UI/UX designers and project managers.

MongoDB 98

MongoDB Programming Language Java MySQL 98

Knowledge Hut

APRIL 25, 2024

It is one of the premier languages and is often used by developers to handle simple and complex projects. Good Communication and Interpersonal Skills The job of the backend developer doesn't end with creating a technically superior project. The backend developer must make a relational mapping for the data to be accessible when needed.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Knowledge Hut

SEPTEMBER 6, 2023

Over the past decade, the IT world transformed with a data revolution. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it. MongoDB Associate DBA Exam The associated exam is C100DBA. MongoDB aggregation.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

JANUARY 3, 2024

MongoDB is one of the most widely known and extensively used NoSQL databases. The top 500 global companies widely use it to implement a range of activities, including social communications, analytics, content management, archiving, and other activities, leading to an increased demand for MongoDB administrators.

MongoDB 52

MongoDB Manufacturing NoSQL Bytes 52

ProjectPro

APRIL 8, 2015

Wikibon predicts that the spending on Hadoop software and subscriptions will increase to approximately $677 million by the end of 2017, with overall big data market anticipated to reach the $50 billion mark. Image Credit: Hortonworks.com Big Data and Hadoop are on the verge of revolutionizing enterprise data management architectures.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

DareData

JANUARY 30, 2023

At DareData, we believe that data scientists should be responsible for the deployment and maintenance of their own models, or at least have a strong understanding of data engineering concepts to better contribute to the lifecycle of model projects. Azure Data Factory: A cloud-based data integration service offered by Microsoft.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. Some of the most popular database management tools in the industry are NoSql, MongoDB and oracle.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

MAY 14, 2021

What is Big Data analytics? Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools. The best way to understand the idea behind Big Data analytics is to put it against regular data analytics.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. The use of data has risen significantly in recent years.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

AltexSoft

OCTOBER 8, 2021

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration process. They include NoSQL databases (e.g.,

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JANUARY 31, 2023

Define Big Data and Explain the Seven Vs of Big Data. Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

NOVEMBER 23, 2021

Let’s take a look at real-world use cases to see how companies operating in different industries leverage data virtualization technology. Pfizer: Acceleration of information delivery to the company’s research projects. In the past, the company used the traditional ETL data integration approach that often resulted in outdated data.

Process 69

Process Data Lake Metadata Data Warehouse 69

AltexSoft

MAY 12, 2023

Unstructured data refers to information that lacks a predefined format or organization. In contrast, big data refers to large volumes of structured and unstructured data that are challenging to process, store, and analyze using traditional data management tools. Common formats include XML, JSON, and CSV.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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. Data architects provide the organizational blueprint of data. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40