From Oracle to Databases for AI: The Evolution of Data Storage
KDnuggets
FEBRUARY 15, 2022
From Oracle, to NoSQL databases, and beyond, read about data management solutions from the early days of the RBDMS to those supporting AI applications.
Data Management Data Storage NoSQL 
NoSQL vs SQL- 4 Reasons Why NoSQL is better for Big Data applications
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 
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RDBMS vs NoSQL: Key Differences and Similarities
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.
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HBase vs Cassandra-The Battle of the Best NoSQL Databases
ProjectPro
SEPTEMBER 16, 2021
NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies.
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What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools
Monte Carlo
OCTOBER 31, 2024
Proficiency in Programming Languages Knowledge of programming languages is a must for AI data engineers and traditional data engineers alike. In addition, AI data engineers should be familiar with programming languages such as Python , Java, Scala, and more for data pipeline, data lineage, and AI model development.
Big Data Technologies that Everyone Should Know in 2024
Knowledge Hut
APRIL 25, 2024
Each of these technologies has its own strengths and weaknesses, but all of them can be used to gain insights from large data sets. As organizations continue to generate more and more data, big data technologies will become increasingly essential. Let's explore the technologies available for big data.
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CockroachDB In Depth with Peter Mattis - Episode 35
Data Engineering Podcast
JUNE 10, 2018
Summary With the increased ease of gaining access to servers in data centers across the world has come the need for supporting globally distributed data storage. With the first wave of cloud era databases the ability to replicate information geographically came at the expense of transactions and familiar query languages.
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Taking Charge of Tables: Introducing OpenHouse for Big Data Management
LinkedIn Engineering
JULY 19, 2023
We’ll also introduce OpenHouse’s control plane, specifics of the deployed system at LinkedIn including our managed Iceberg lakehouse, and the impact and roadmap for future development of OpenHouse, including a path to open source. Data services are a set of table maintenance jobs that keep the underlying storage in a healthy state.
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Graph Databases In Production At Scale Using DGraph with Manish Jain - Episode 44
Data Engineering Podcast
AUGUST 19, 2018
Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. Interview Introduction How did you get involved in the area of data management?
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100 Unpacking Fauna: A Global Scale Cloud Native Database
Data Engineering Podcast
APRIL 22, 2019
Summary One of the biggest challenges for any business trying to grow and reach customers globally is how to scale their data storage. It is definitely worth a good look for anyone building a platform that needs a simple to manage data layer that will scale with your business.
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Big Data Analytics: How It Works, Tools, and Real-Life Applications
AltexSoft
MAY 14, 2021
A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. What is Big Data analytics? Data storage and processing.
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Most important Data Engineering Concepts and Tools for Data Scientists
DareData
JANUARY 30, 2023
In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.
Hadoop vs Spark: Main Big Data Tools Explained
AltexSoft
JUNE 7, 2021
Master Nodes control and coordinate two key functions of Hadoop: data storage and parallel processing of data. Worker or Slave Nodes are the majority of nodes used to store data and run computations according to instructions from a master node. Data storage options. Data management and monitoring options.
The Future of Database Management in 2023
Knowledge Hut
JULY 24, 2023
Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data. With these technologies, businesses and organizations enhance their data management procedures, upgrade their knowledge, and make better decisions using data. Disruptive database technologies are on them.
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Types of Databases
Grouparoo
DECEMBER 26, 2021
For data storage, the database is one of the fundamental building blocks. Alternatively, it can be non-autonomous, where a central control function manages all the distributed database instances. NoSQL Databases A NoSQL database offers an alternative where information structure is nonlinear and non-relational.
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A Guide to Data Pipelines (And How to Design One From Scratch)
Striim
SEPTEMBER 11, 2024
Striim, for instance, facilitates the seamless integration of real-time streaming data from various sources, ensuring that it is continuously captured and delivered to big data storage targets. Data storage Data storage follows.
Unstructured Data: Examples, Tools, Techniques, and Best Practices
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. Data durability and availability.
Accenture’s Smart Data Transition Toolkit Now Available for Cloudera Data Platform
Cloudera
AUGUST 31, 2021
While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.
Top 16 Data Science Job Roles To Pursue in 2024
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. In other words, they develop, maintain, and test Big Data solutions. To become a Big Data Engineer, knowledge of Algorithms and Distributed Computing is also desirable.
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Front End vs Back End vs Full Stack
Edureka
JULY 16, 2024
Meanwhile, back-end development entails server-side programming, databases, and logic that drives the front end, assuring functioning and data management. Back-end developers offer mechanisms of server logic APIs and manage databases with SQL or NoSQL technological stacks in PHP, Python, Ruby, or Node.
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DataOps Architecture: 5 Key Components and How to Get Started
Databand.ai
AUGUST 30, 2023
DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.
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The Role of Database Applications in Modern Business Environments
Knowledge Hut
JULY 26, 2023
Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. It includes the tools and functionality required to create, store, retrieve, and modify data in a database.
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Difference Between Data Structure and Database
Knowledge Hut
MARCH 27, 2024
Scales efficiently for specific operations within algorithms but may face challenges with large-scale data storage. Database vs Data Structure If you are thinking about how to differentiate database and data structure, let me explain the difference between the two in detail on the parameters mentioned above in the table.
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5 Layers of Data Lakehouse Architecture Explained
Monte Carlo
JANUARY 5, 2024
This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake. Image courtesy of Databricks.
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Data Lakehouse Architecture Explained: 5 Layers
Monte Carlo
JANUARY 5, 2024
This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake. Image courtesy of Databricks.
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Data Scientist vs Data Engineer: Differences and Why You Need Both
AltexSoft
OCTOBER 30, 2021
Data engineer’s integral task is building and maintaining data infrastructure — the system managing the flow of data from its source to destination. This typically includes setting up two processes: an ETL pipeline , which moves data, and a data storage (typically, a data warehouse ), where it’s kept.
Data Engineer Roles And Responsibilities 2022
U-Next
AUGUST 17, 2022
Because of this, all businesses—from global leaders like Apple to sole proprietorships—need Data Engineers proficient in SQL. NoSQL – This alternative kind of data storage and processing is gaining popularity. The term “NoSQL” refers to technology that is not dependent on SQL, to put it simply.
Top 12 Backend Developer Skills You Must Know in 2024
Knowledge Hut
APRIL 25, 2024
Creation and management of application programming interfaces (APIs). Create data storage and acceptance solutions for websites, especially those that take payments. Knowledge of Databases When working on a project, you must realize that data storage is essential since they contain a lot of information.
Introduction to MongoDB for Data Science
Knowledge Hut
NOVEMBER 3, 2023
The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. What is MongoDB for Data Science? Why Use MongoDB for Data Science?
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Big Data Fabric Weaves Together Automation, Scalability, and Intelligence
Cloudera
JANUARY 22, 2019
Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.
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Azure Data Engineer Job Description [Roles and Responsibilities]
Knowledge Hut
SEPTEMBER 25, 2023
You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company. Azure Data Engineers work with these and other solutions.
Recap of Hadoop News for March
ProjectPro
APRIL 1, 2016
GlobeNewsWire.com Cloudera – the global provider of the easiest and the most secure data management to be built of Apache Hadoop , recently announced that recently it has moved from the Challengers to the Visionaries position in the 2016 Gartner Magic Quadrant for Data Warehouse and Data Management solution for analytics.
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Top 7 AWS Skills To Master in 2023
Knowledge Hut
JULY 31, 2023
Data Storage Fundamental Amazon encourages various data storage solutions like storage, security, and effective data management as part of their AWS basics. Here are some of the ways in which AWS programmers can benefit from these data storage fundamentals.
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Highest Paying Data Science Jobs in the World
Knowledge Hut
MAY 9, 2024
Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually.
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15+ Must Have Data Engineer Skills in 2023
Knowledge Hut
NOVEMBER 28, 2023
As a Data Engineer, you must: Work with the uninterrupted flow of data between your server and your application. Work closely with software engineers and data scientists. Relational database management systems (RDBMS) remain the key to data discovery and reporting, regardless of their location.
How to Become a Data Engineer in 2024?
Knowledge Hut
DECEMBER 26, 2023
You can perform operations like adding, deleting, and extracting data from a database, carrying out analytical functions, and modification of database structures. NoSQL is a distributed data storage that is becoming increasingly popular. Some of NoSQL examples are Apache River, BaseX, Ignite, Hazelcast, Coherence, etc.
Spark vs Hive - What's the Difference
ProjectPro
SEPTEMBER 9, 2021
Apache Hive Architecture Apache Hive has a simple architecture with a Hive interface, and it uses HDFS for data storage. Data in Apache Hive can come from multiple servers and sources for effective and efficient processing in a distributed manner. The tool also does not have an automatic code optimization process.
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How to Become an Azure Data Engineer in 2023?
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. Who should take the certification exam?
The Good and the Bad of the Elasticsearch Search and Analytics Engine
AltexSoft
SEPTEMBER 21, 2023
In this edition of “The Good and The Bad” series, we’ll dig deep into Elasticsearch — breaking down its functionalities, advantages, and limitations to help you decide if it’s the right tool for your data-driven aspirations. The following are the key advantages that make Elasticsearch a great choice for data search and analytics.
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ELT Explained: What You Need to Know
Ascend.io
NOVEMBER 21, 2023
The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems.
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Data Lakehouse: Concept, Key Features, and Architecture Layers
AltexSoft
NOVEMBER 10, 2021
Well, there’s a new phenomenon in data management that received the name of a data lakehouse. 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. Data warehouse.
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The Future of SQL: Databases Meet Stream Processing
Knowledge Hut
JULY 24, 2023
SQL helps businesses to query and extract data from big datasets, offering insights into market trends, customer behavior, and other crucial elements that drive decision-making. SQL is also popularly employed for transactional data management, such as inventory management, online purchases, and financial transactions.
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5 Use Cases for DynamoDB in 2023
Rockset
DECEMBER 31, 2022
Storage of inconsistent schema items If your data objects are required to be stored in inconsistent schemas, DynamoDB can manage that. Automatic data management DynamoDB constantly creates a backup of your data for safety purposes which allows owners to have data saved on the cloud.
Top 10 MongoDB Career Options in 2024 [Job Opportunities]
Knowledge Hut
MARCH 22, 2024
Interested in NoSQL databases? MongoDB is the fourth most popular Database Management System (DBMS). MongoDB Careers: Overview MongoDB is one of the leading NoSQL database solutions and generates a lot of demand for experts in different fields. If so, you need to go somewhere else. But first, let’s discuss MongoDB a bit.
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