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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What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools
Monte Carlo
OCTOBER 31, 2024
The rise of AI and GenAI has brought about the rise of new questions in the data ecosystem – and new roles. One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations.
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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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Big Data Technologies that Everyone Should Know in 2024
Knowledge Hut
APRIL 25, 2024
Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. It is especially true in the world of big data. It is especially true in the world of big data. What Are Big Data T echnologies?
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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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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. What are some of the tradeoffs that are necessary to allow for georeplicated data with distributed transactions?
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Getting Started with Cloudera Data Platform Operational Database (COD)
Cloudera
NOVEMBER 23, 2021
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: . Shared Data Experience (SDX) is used for security and governance capabilities.
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Big Data Analytics: How It Works, Tools, and Real-Life Applications
AltexSoft
MAY 14, 2021
Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools.
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Hadoop vs Spark: Main Big Data Tools Explained
AltexSoft
JUNE 7, 2021
Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work? cost-effectiveness.
A Guide to Data Pipelines (And How to Design One From Scratch)
Striim
SEPTEMBER 11, 2024
Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Most importantly, these pipelines enable your team to transform data into actionable insights, demonstrating tangible business value.
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. 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.
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Most important Data Engineering Concepts and Tools for Data Scientists
DareData
JANUARY 30, 2023
Learn the most important data engineering concepts that data scientists should be aware of. As the field of data science and machine learning continues to evolve, it is increasingly evident that data engineering cannot be separated from it.
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. One of the unique aspects of Fauna that is worth drawing attention to is the first class support for temporality that simplifies querying of historical states of the data.
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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. Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns.
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Data Scientist vs Data Engineer: Differences and Why You Need Both
AltexSoft
OCTOBER 30, 2021
Explaining the difference, especially when they both work with something intangible such as data , is difficult. If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. Data science vs data engineering.
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. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.
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Accenture’s Smart Data Transition Toolkit Now Available for Cloudera Data Platform
Cloudera
AUGUST 31, 2021
Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?
Unstructured Data: Examples, Tools, Techniques, and Best Practices
AltexSoft
MAY 12, 2023
In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. How much data was generated in a minute in 2013 and 2022.
How to Become a Data Engineer in 2024?
Knowledge Hut
DECEMBER 26, 2023
Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?
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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Types of Databases
Grouparoo
DECEMBER 26, 2021
For data storage, the database is one of the fundamental building blocks. Centralized Database As the name suggests, a centralized database stores information in a single physical location and manages access to specific elements within the database based on data categorization and which users have permission to access which category.
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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. Future Trends of Database Technology The future of database technology is poised to experience huge breakthroughs, revolutionizing how we handle, store, and analyze data as the world becomes more and more data-driven.
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Data Engineer Roles And Responsibilities 2022
U-Next
AUGUST 17, 2022
Introduction to 2022 Data Engineer Roles and Responsibilities. Companies and enterprises, large and small, are built on data. Data Engineer roles and responsibilities include aiding in the collection of issues and the delivery of remedies addressing customer demand and product accessibility.
Taking Charge of Tables: Introducing OpenHouse for Big Data Management
LinkedIn Engineering
JULY 19, 2023
Co-Authors: Sumedh Sakdeo , Lei Sun , Sushant Raikar , Stanislav Pak , and Abhishek Nath Introduction At LinkedIn, we build and operate an open source data lakehouse deployment to power Analytics and Machine Learning workloads. Tables are stored in a protected storage namespace that the control plane has full control over.
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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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Difference Between Data Structure and Database
Knowledge Hut
MARCH 27, 2024
On the other hand, data structures are like the tools that help organize and arrange data within a computer program. In simpler terms, a database is where information is neatly stored, like books on shelves, while data structures are the behind-the-scenes helpers, ensuring data is well-organized and easy to find.
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Top 10 Hadoop Tools to Learn in Big Data Career 2024
Knowledge Hut
DECEMBER 21, 2023
In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.
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Data Lakehouse Architecture Explained: 5 Layers
Monte Carlo
JANUARY 5, 2024
You know what they always say: data lakehouse architecture is like an onion. …ok, Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. Storage layer 3. API layer 5.
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5 Layers of Data Lakehouse Architecture Explained
Monte Carlo
JANUARY 5, 2024
You know what they always say: data lakehouse architecture is like an onion. …ok, Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. Storage layer 3. API layer 5.
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Data Engineering Learning Path: A Complete Roadmap
Knowledge Hut
JUNE 23, 2023
Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.
Top 10 Data Science Certifications
Knowledge Hut
SEPTEMBER 6, 2023
Nowadays, I often hear people saying they aspire to become data scientists or they want to work with data, but they don’t know the path to do so. I myself have faced this problem and data science certifications come as a rescue for this problem. What is Data Science Certification?
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CloudBank’s Journey from Mainframe to Streaming with Confluent Cloud
Confluent
MARCH 4, 2019
Innovative companies experiment with data to come up with something useful. A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. We need something that does not only store data but processes events as they happen.
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How to Learn SQL Basics for Data Science in 2023?
ProjectPro
DECEMBER 17, 2021
Data science and artificial intelligence might be the buzzwords of recent times, but they are of no value without the right data backing them. The process of data collection has increased exponentially over the last few years. Table of Contents Why SQL for Data Science? Why SQL for Data Science? What is SQL?
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CDC on DynamoDB
Rockset
MAY 10, 2022
DynamoDB is a popular NoSQL database available in AWS. However, DynamoDB, like many other NoSQL databases, is great for scalable data storage and single row retrieval but leaves a lot to be desired when it comes to analytics. With SQL databases, analysts can quickly join, group and search across historical data sets.
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Azure Data Engineer Job Description [Roles and Responsibilities]
Knowledge Hut
SEPTEMBER 25, 2023
This demonstrates how in-demand Microsoft Certified Data Engineers are becoming. They are moving their servers and on-premises data to Azure Cloud. What does all of this mean for Data Engineering professionals? In order to manage big data and other operational services, businesses are continuously in need of data engineers.
Top 10 Real World Applications of Cloud Computing
Knowledge Hut
NOVEMBER 7, 2023
The applications of cloud computing in businesses of all sizes, types, and industries for a wide range of applications, including data backup, email, disaster recovery, virtual desktops big data analytics, software development and testing, and customer-facing web apps. Such data centers are expensive to build and maintain.
15+ Must Have Data Engineer Skills in 2023
Knowledge Hut
NOVEMBER 28, 2023
The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.
15+ Best Data Engineering Tools to Explore in 2023
Knowledge Hut
APRIL 25, 2023
The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! While they go about it - enter big data data engineer tools.
Recap of Hadoop News for February 2018
ProjectPro
MARCH 1, 2018
The leading big data analytics company Kyvo Insights is hosting a webinar titled “Accelerate Business Intelligence with Native Hadoop BI platforms.” The webinar will address examples from the many organizations that depend on Kyvos and also the data compiled by Forrester Research. PRNewswire.com, February 1, 2018.
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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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What’s a Data Infrastructure Engineer? Skills, Role, Future & Salary
Monte Carlo
JUNE 2, 2024
Every day, an uncountable amount of data flows through millions of businesses. Data Infrastructure Engineers are the professionals who ensure that this data flows smoothly and reliably. But what does a data infrastructure engineer do exactly? Table of Contents What is a Data Infrastructure Engineer?
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What’s a Data Infrastructure Engineer? Skills, Role, Future & Salary
Monte Carlo
JUNE 2, 2024
Every day, an uncountable amount of data flows through millions of businesses. Data Infrastructure Engineers are the professionals who ensure that this data flows smoothly and reliably. But what does a data infrastructure engineer do exactly? Table of Contents What is a Data Infrastructure Engineer?
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Google BigQuery: A Game-Changing Data Warehousing Solution
ProjectPro
JANUARY 24, 2023
Tired of relentlessly searching for the most effective and powerful data warehousing solutions on the internet? This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. Search no more! Did you know ?
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