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.
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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. FaunaDB is a cloud native database built by the engineers behind Twitter’s infrastructure and designed to serve the needs of modern systems. Can you describe the query format?
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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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Graph Databases In Production At Scale Using DGraph with Manish Jain - Episode 44
Data Engineering Podcast
AUGUST 19, 2018
Summary The way that you store your data can have a huge impact on the ways that it can be practically used. He also discusses the various cases where a graph storage layer is beneficial, and when you would be better off using something else. Interview Introduction How did you get involved in the area of data management?
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Getting Started with Cloudera Data Platform Operational Database (COD)
Cloudera
NOVEMBER 23, 2021
What is Cloudera Operational Database (COD)? Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: . Select Operational Database.
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91 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.
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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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What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools
Monte Carlo
OCTOBER 31, 2024
The foundational skills are similar between traditional data engineers and AI data engineers are similar, with AI data engineers more heavily focused on machine learning data infrastructure, AI-specific tools, vector databases, and LLM pipelines. Let’s dive into the tools necessary to become an AI data engineer.
Implementing the Netflix Media Database
Netflix Tech
DECEMBER 14, 2018
data access semantics that guarantee repeatable data read behavior for client applications. System Requirements Support for Structured Data The growth of NoSQL databases has broadly been accompanied with the trend of data “schemalessness” (e.g., This is described more in-depth later in this article.
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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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Types of Databases
Grouparoo
DECEMBER 26, 2021
For data storage, the database is one of the fundamental building blocks. There are many kinds of databases available, each with its strengths and weaknesses. In this article, we’ll look at what are the different types of databases and which is the most common.
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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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The Future of Database Management in 2023
Knowledge Hut
JULY 24, 2023
In this digital age, data is king, and how we manage, analyze, and harness its power is constantly evolving. Database management, once confined to IT departments, has become a strategic cornerstone for businesses across industries. In this blog, we will talk about the future of database management.
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Difference Between Data Structure and Database
Knowledge Hut
MARCH 27, 2024
Think of a database as a smart, organized library that stores and manages information efficiently. On the other hand, data structures are like the tools that help organize and arrange data within a computer program. What is a Database? SQL, or structured query language, is widely used for writing and querying data.
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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. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.
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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. And most of this data has to be handled in real-time or near real-time.
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The Future of SQL: Databases Meet Stream Processing
Knowledge Hut
JULY 24, 2023
Recently, the advent of stream processing has unlocked the door for a new era in database technology. As a result, we can now analyze big chunks of data in real time, offering valuable opportunities and insights to make well-informed decisions. According to recent studies, the global database market will grow from USD 63.4
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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.
A Guide to Data Pipelines (And How to Design One From Scratch)
Striim
SEPTEMBER 11, 2024
The ingestion layer supports multiple data types and formats, including: Batch Data: Data collected and processed in discrete chunks, typically from static sources such as databases or logs. Data storage Data storage follows. Historically, batch processing was sufficient for many use cases.
14 Best Database Certifications in 2023 to Boost Your Career
Knowledge Hut
SEPTEMBER 6, 2023
Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. 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. What Is a Database? Now, it's different. Let’s begin!
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.
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. They should know SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) and a background in Data Mining and Data Warehouse Design.
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Top Database Project Ideas to Work on 2023 [with Source Code]
Knowledge Hut
MAY 31, 2023
This is where database management systems come in handy. A database management system (DBMS) is a software system that helps organize, store and manage information efficiently. If you want to learn more about databases, check out Knowledgehut Database course. So, let's look at some top database project ideas.
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RocksDB Is Eating the Database World
Rockset
JANUARY 23, 2020
A Brief History of Distributed Databases The era of Web 2.0 brought with it a renewed interest in database design. The new databases that have emerged during this time have adopted names such as NoSQL and NewSQL, emphasizing that good old SQL databases fell short when it came to meeting the new demands.
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How to query JSONB array of objects in PostgreSQL
Hevo
DECEMBER 21, 2023
Do you have a NoSQL database that has no rigid shape and is causing data analysis complexity nightmares? PostgreSQL is a high-performing, open-sourced object-relational database with two JSON data storage types, JSON and JSONB. With JSON in PostgreSQL, you can have a solution to your complex problem.
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Introducing Netflix’s Key-Value Data Abstraction Layer
Netflix Tech
SEPTEMBER 18, 2024
Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. Over time as new key-value databases were introduced and service owners launched new use cases, we encountered numerous challenges with datastore misuse.
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CloudBank’s Journey from Mainframe to Streaming with Confluent Cloud
Confluent
MARCH 4, 2019
A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. This trend has the amazing effect of decreasing the number of SQL databases necessary to run a business, as well as creates an infrastructure capable of dealing with problems that SQL databases cannot.
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Top 12 Backend Developer Skills You Must Know in 2024
Knowledge Hut
APRIL 25, 2024
Here are some things that you should learn: Recursion Bubble sort Selection sort Binary Search Insertion Sort Databases and Cache To build a high-performance system, programmers need to rely on the cache. In addition, it is required in a database to keep track of the users' responses. to manage DBMS.
What Is a Serverless Database and Why Use One
Rockset
MAY 24, 2021
Companies can also take advantage of serverless databases. Serverless databases are designed to manage workloads that are unpredictable and changing. Similar to serverless functions, you don’t manage any infrastructure or database operations. Also, often storage and compute are separated.
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Top 15 Software Engineer Projects 2023 [Source Code]
Knowledge Hut
OCTOBER 27, 2023
Realtime Communication: Instructors and students can communicate in real time using Firebase Realtime Database. With its customizable dashboard, healthcare professionals can easily view patient information and appointments, as well as track patient data and outcomes using its analytics and reporting features. cvtColor(image, cv2.COLOR_BGR2GRAY)
Unstructured Data: Examples, Tools, Techniques, and Best Practices
AltexSoft
MAY 12, 2023
Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection.
CDC on DynamoDB
Rockset
MAY 10, 2022
DynamoDB is a popular NoSQL database available in AWS. Developers can quickly create databases that store complex objects with flexible schemas that can mutate over time. With SQL databases, analysts can quickly join, group and search across historical data sets. What if we also wanted to show past performance?
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Top 10 Real World Applications of Cloud Computing
Knowledge Hut
NOVEMBER 7, 2023
You can swiftly provision infrastructure services like computation, storage, and databases, as well as machine learning, the internet of things, data lakes and analytics, and much more. Previously, customers stored data on a collection of drives or tapes, which took hours to collect and move to the backup location.
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.
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. It involves aspects such as the conception of the structure and screen appearance, writing code that powers the interface, and interaction with databases.
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How to Become a Data Engineer in 2024?
Knowledge Hut
DECEMBER 26, 2023
Data Engineers are skilled professionals who lay the foundation of databases and architecture. Using database tools, they create a robust architecture and later implement the process to develop the database from zero. Data engineers who focus on databases work with data warehouses and develop different table schemas.
Top 10 Hadoop Tools to Learn in Big Data Career 2024
Knowledge Hut
DECEMBER 21, 2023
NoSQL This database management system has been designed in a way that it can store and handle huge amounts of semi-structured or unstructured data. NoSQL databases can handle node failures. Different databases have different patterns of data storage. It is also horizontally scalable.
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How to Learn SQL Basics for Data Science in 2023?
ProjectPro
DECEMBER 17, 2021
The process of data collection has increased exponentially over the last few years. The companies are churning out massive volumes of data every day for analysis and deriving business insights. Table of Contents Why SQL for Data Science? NoSQL databases are designed to store unstructured data like graphs, documents, etc.,
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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. Let us see where MongoDB for Data Science can help you.
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Data Engineering Learning Path: A Complete Roadmap
Knowledge Hut
JUNE 23, 2023
You can simultaneously work on your skills, knowledge, and experience and launch your career in data engineering. Soft Skills You should have the right verbal and written communication skills required for a data engineer. Data warehousing to aggregate unstructured data collected from multiple sources.
Data Engineer Roles And Responsibilities 2022
U-Next
AUGUST 17, 2022
When organizing vast amounts of data, Data Engineering skills are most important. Data must be comprehensive and cohesive, and Data Engineers are best at this task with their set of skills. Skills Required To Be A Data Engineer. Responsibilities of a Data Engineer.
Hive vs.HBase–Different Technologies that work Better Together
ProjectPro
DECEMBER 7, 2016
The complexity of big data systems requires that every technology needs to be used in conjunction with the other. Your Facebook profile data or news feed is something that keeps changing and there is need for a NoSQL database faster than the traditional RDBMS’s. HBase plays a critical role of that database.
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DataOps Architecture: 5 Key Components and How to Get Started
Databand.ai
AUGUST 30, 2023
DataOps Architecture Legacy data architectures, which have been widely used for decades, are often characterized by their rigidity and complexity. These systems typically consist of siloed data storage and processing environments, with manual processes and limited collaboration between teams.
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MongoDB and Hadoop
ProjectPro
NOVEMBER 5, 2014
Hadoop is the way to go for organizations that do not want to add load to their primary storage system and want to write distributed jobs that perform well. MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets.
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