Data Engineering Podcast

APRIL 14, 2024

In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database. Can you describe what constitutes a NoSQL database? What are the factors that convince teams to use a NoSQL vs. SQL database?

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Knowledge Hut

MARCH 27, 2024

depending on the specific data structure used. Purpose Designed to store and retrieve large volumes of data efficiently and support complex queries. Primarily used for organizing and optimizing data to perform specific operations within a program efficiently. Varied formats like arrays, linked lists, trees, etc.,

Database 52

Database Algorithm Relational Database PostgreSQL 52

Data Engineering Podcast

FEBRUARY 11, 2018

In your blog post that explains the design decisions for how Timescale is implemented you call out the fact that the inserted data is largely append only which simplifies the index management. release of PostGreSQL had on the design of the project? release of PostGreSQL had on the design of the project?

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Data Engineering Podcast

MARCH 11, 2018

How has the prevalence of data abstractions such as ORMs or ODMs impacted the practice of schema design and evolution? Is there a difference in strategy when refactoring the data layer of a system when using a non-relational storage system? You first co-authored Refactoring Databases in 2006.

Database 100

Database MongoDB NoSQL Insurance 100

Knowledge Hut

DECEMBER 26, 2023

Data Analysts require good knowledge of Mathematics and Statistics, Coding, and Machine Learning. Business Intelligence (BI) Developer A Business Intelligence Developer, also known as a BI developer, designs and develops strategies to assist business users to find the required information quickly and efficiently to make business decisions.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Data Engineering Podcast

MAY 6, 2019

In this episode Ryan Worl explains how it is architected, how to use it for your applications, and provides examples of system design patterns that can be built on top of it. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. When is FoundationDB the wrong choice?

Systems 100

Systems MongoDB NoSQL Database 100

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

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. The data then gets prepared in formats to be used by people such as business analysts, data analysts, and data scientists. Data engineers design, test and maintain data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 20, 2023

Data engineers play three important roles: Generalist: With a key focus, data engineers often serve in small teams to complete end-to-end data collection, intake, and processing. While they might be more experienced than most data engineers, they need a solid understanding of systems design.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Rockset

JULY 22, 2022

Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. NoSQL is great for well understood access patterns. Much was discussed.

NoSQL 52

NoSQL SQL Database AWS 52

Knowledge Hut

SEPTEMBER 6, 2023

Top Big Data Certifications Following are the top big data certifications available in the market. Associate Certified Analytics Professional (aCAP) Introduction : The Associate Certified Analytics Professional (aCAP®) designation is for entry-level analytics professional who has the knowledge but no practical experience.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

JANUARY 23, 2024

Problem-Solving Prowess: Navigate complexities of APIs, implement robust security protocols, and maintain effective communication with UI/UX designers and project managers. Able to develop entire architecture, responsive design, user interaction, and user experience. Recommended is a master's degree in a related field.

MongoDB 98

MongoDB Programming Language Java 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. Design and implement identity, access and governance for SAP workloads. Now, it's different.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

APRIL 25, 2024

Back-end development refers to designing, altering, and fixing the software part of a website. Knowledge of Popular Frameworks Backend developers use certain tools to design the architecture of a website. Create data storage and acceptance solutions for websites, especially those that take payments. to manage DBMS.

Programming Language 98

Programming Language Java Algorithm MySQL 98

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

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. Familiarity with database technologies such as MySQL, Oracle, and MongoDB.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

DareData

JANUARY 30, 2023

For data scientists, these skills are extremely helpful when it comes to manage and build more optimized data transformation processes, helping models achieve better speed and relability when set in production. Airflow is written in Python and has a web-based user interface for managing and monitoring pipelines.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

ProjectPro

NOVEMBER 14, 2015

At the bottom lies a library that is designed to treat failures at the Application layer itself, which results in highly reliable service on top of a distributed set of computers, each of which is capable of functioning as a local storage point. Data Integration 3.Scalability Specialized Data Analytics 7.Streaming Scalability 4.Link

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

DECEMBER 21, 2023

Postico can be used by business analysts, software developers, business owners in varied industries like healthcare, finance, and marketing to design new databases, data entries, importing CSV datasets and more. A strong emphasis on usability and meaningful feature design Pros: The UI works well with the OS and is quick and responsive.

PostgreSQL 52

PostgreSQL MySQL MongoDB SQL 52

Knowledge Hut

SEPTEMBER 6, 2023

A data science professional certificate is attained only by fulfilling the required pre-requisites, passing a graded-exam, and at last clearing the interviews. These certifications are a great option to establish or switch careers in data science. Python and R are the best languages for Data Science. Expiration - No expiry 4.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Edureka

JANUARY 18, 2024

Explore real-world examples, emphasizing the importance of statistical thinking in designing experiments and drawing reliable conclusions from data. Programming A minimum of one programming language, such as Python, SQL, Scala, Java, or R, is required for the data science field.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Data integration , on the other hand, happens later in the data management flow.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

JULY 29, 2022

No matter the actual size, each cluster accommodates three functional layers — Hadoop distributed file systems for data storage, Hadoop MapReduce for processing, and Hadoop Yarn for resource management. By default, HDFS chops data into pieces of 128M except for the last one. MongoDB: an NoSQL database with additional features.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

JANUARY 19, 2022

The use of data has risen significantly in recent years. More people, organizations, corporations, and other entities use data daily. Earlier, people focused more on meaningful insights and analysis but realized that data management is just as important. According to the 2020 U.S.

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. IBM DataStage Designer interface.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Knowledge Hut

DECEMBER 27, 2023

Often stored in computer databases or the cloud and is analyzed using software specifically designed to handle large, complex data sets. Importance of Big Data It is not the amount of data a company possesses, but the importance and advantage of big data depend on how a company interprets and utilizes it.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

AltexSoft

NOVEMBER 23, 2021

All enterprise data is available through a single virtual layer for different users and a variety of use cases. They can design and perform whatever reports and analysis they need without worrying about a data format or where it resides. It’s not all rosy in the kingdom of data virtualization though.

Process 69

Process Data Lake Metadata Data Warehouse 69

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

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. Normalization is not useful in a star schema, and there is high data redundancy. There are fewer foreign keys.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Designed to be modular.

IT 59

IT Data Warehouse Data Governance Data Lake 59