Knowledge Hut

APRIL 23, 2024

Data storing and processing is nothing new; organizations have been doing it for a few decades to reap valuable insights. Compared to that, Big Data is a much more recently derived term. So, what exactly is the difference between Traditional Data and Big Data? However, it also severely limits the scope of the data.

Big Data 52

Big Data Relational Database Data Datasets 52

Azure Data Engineering

MAY 15, 2022

When it comes to transforming structured data, (e.g., stored in a database, SQL is the most convenient and fit-to-purpose option. The Stored Procedure Activity in Data Factory provides and simple and convenient way to execute Stored Procedures. applying business logic, standardization etc.)

SQL 130

SQL Database Structured Data Data 130

Knowledge Hut

APRIL 23, 2024

Big data and data mining are neighboring fields of study that analyze data and obtain actionable insights from expansive information sources. Big data encompasses a lot of unstructured and structured data originating from diverse sources such as social media and online transactions.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Rockset

JULY 9, 2019

Consider the hoops we have to jump through when working with semi-structured data, like JSON, in relational databases such as PostgreSQL and MySQL. JSON is a good match for document databases, such as MongoDB. JSON is a good match for document databases, such as MongoDB. Other data types require more thought.

Relational Database 40

Relational Database PostgreSQL MySQL Database 40

ThoughtSpot

MARCH 5, 2024

Configure Snowflake Database Connection in ThoughtSpo t In ThoughtSpot, go to Admin > Data Connectors and create a new Snowflake database connection. Enter the Snowflake credentials, URL, warehouse, and database. This allows ThoughtSpot to see and query the tables. Hit ‘Continue’.

BI 94

BI Datasets Raw Data SQL 94

Knowledge Hut

JANUARY 30, 2024

Whether you're a seasoned data scientist or just stepping into the world of data, come with me as we unravel the secrets of data extraction and learn how it empowers us to unleash the full potential of data. What is data extraction? Primary Focus Structuring and preparing data for further analysis.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

FEBRUARY 29, 2024

Learning inferential statistics website: wallstreetmojo.com, kdnuggets.com Learning Hypothesis testing website: stattrek.com Start learning database design and SQL. A database is a structured data collection that is stored and accessed electronically. Considering this information database model is fitted with data.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Function Variety Big Data encompasses diverse data types, including structured, unstructured, and semi-structured data. It involves handling data from various sources such as text documents, images, videos, social media posts, and more.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

DECEMBER 26, 2023

The responsibilities of Data Analysts are to acquire massive amounts of data, visualize, transform, manage and process the data, and prepare data for business communications. They are also responsible for improving the performance of data pipelines.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

U-Next

MARCH 1, 2023

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. How does a data warehouse differ from a database?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Towards Data Science

JANUARY 16, 2024

But in order to justify why this concept came into existence, I thought it’d be great to look back in time and understand the evolution of the data landscape. Evolution of the data landscape 1980s — Inception Relational databases came into existence. Organizations began to use relational databases for ‘everything’.

Data Warehouse 67

Data Warehouse Data Architecture Relational Database NoSQL 67

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.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Monte Carlo

FEBRUARY 27, 2024

With RAG, when a customer makes an inquiry about an order, the system can retrieve their specific details from the database and generate a response with relevant follow-up options, like tracking a shipment or managing returns. The RAG chain starts with a user query, which triggers the system to fetch relevant data from the database.

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

Knowledge Hut

JUNE 28, 2023

Focus Exploration and discovery of hidden patterns and trends in data. Reporting, querying, and analyzing structured data to generate actionable insights. Data Sources Diverse and vast data sources, including structured, unstructured, and semi-structured data.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Knowledge Hut

JANUARY 3, 2024

Did you know that almost all database management systems (DBMS) use a particular data organization model? This article provides an introduction to the relational model, which is by far the most common data organization model in DBMS today. In the concept of a relational database management system, data is organized into tables.

MongoDB 52

MongoDB Relational Database Database Accessible 52

Knowledge Hut

JANUARY 29, 2024

In contrast, ETL is primarily employed by DW/ETL developers responsible for data integration between source systems and reporting layers. Data Structure: Data wrangling deals with varied and complex data sets, which may include unstructured or semi-structured data. Frequently Asked Questions (FAQs) 1.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Rockset

MARCH 24, 2022

In fact, you can describe big data from many different sources by these five characteristics: volume, value, variety, velocity and veracity. Even though the complexity, data shape and data volume are increasing and changing, companies are looking for simpler and faster database solutions.

Non-relational Database 52

Non-relational Database Relational Database Database Data Pipeline 52

Knowledge Hut

DECEMBER 29, 2023

One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines. Data engineers may choose from a variety of career paths, including those of Database Developer, Data Engineer, etc.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Precisely

MARCH 9, 2023

A data warehouse implies a certain degree of preprocessing, or at the very least, an organized and well-defined data model. Data lakes, in contrast, are designed as repositories for all kinds of information, which might not initially be organized and structured. It is often used as a foundation for enterprise data lakes.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

phData: Data Engineering

SEPTEMBER 19, 2023

A data lake is a centralized repository containing extensive storage for raw, unfiltered data coming into a company’s data storage system. This data can be structured, semi-structured, or unstructured and comes from various sources such as databases, IoT devices, log files, etc.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Striim

MAY 1, 2024

This platform acts as the primary structured data repository in Google Cloud. Concurrently, SQL Server data is thoroughly cleaned in Link Data, which also extracts images and email attachments from different systems, ensuring data integrity and availability.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

Data Engineering Weekly

JUNE 4, 2023

The author writes an exciting article about adopting unit testing in the data pipeline by producing sample tables during the development. We will see more tools around the unit test framework for the data pipeline soon. The author writes an excellent introduction to vector databases and their applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Knowledge Hut

APRIL 25, 2023

Data engineering tools are software applications that help data engineers manage and process large and complex data sets. Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Data Engineering Podcast

AUGUST 31, 2020

You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data platforms. How does Firebolt compare to other data warehouse technologies what unique features does it provide?

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 100

Rockset

AUGUST 2, 2023

This enrichment data has changing schemas and new data providers are constantly being added to enhance the insights, making it challenging for Windward to support using relational databases with strict schemas. Windward also used specialized databases like Elasticsearch for specific functionality like text search.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Data Engineering Podcast

FEBRUARY 9, 2020

You deserve a data warehouse engine that outperforms the demands of your customers and simplifies your operations at a fraction of the time and cost that you might expect. You deserve Clickhouse, the open source analytical database that deploys and scales wherever and whenever you want it to and turns data into actionable insights.

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Data Engineering Podcast

DECEMBER 8, 2019

Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute.

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Workfall

JULY 4, 2023

With DBT, they weave powerful SQL spells to create data models that capture the essence of their organization’s information. DBT’s superpowers include seamlessly connecting with databases and data warehouses, performing amazing transformations, and effortlessly managing dependencies to ensure high-quality data.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Edureka

AUGUST 2, 2023

SQL Structured Query Language, or SQL, is used to manage and work with relational databases. It is a crucial tool for data scientists since it enables users to create, retrieve, edit, and delete data from databases.SQL (Structured Query Language) is indispensable when it comes to handling structured data stored in relational databases.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

DataKitchen

FEBRUARY 27, 2024

Retrieval-Augmented Generation: Enhancing LLMs with Targeted Data Retrieval-augmented generation (RAG) is a methodology where an LLM generates outputs based on the input prompt and leverages an external database or repository of information. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.

Data Engineering 48

Data Engineering Data Engineer Engineering Unstructured Data 48

Edureka

FEBRUARY 8, 2024

Use cases for memory-optimized instances include- Database Servers- Applications like relational databases benefit from the higher memory capacity to store and retrieve data efficiently. In-Memory Caching- Memory-optimized instances are suitable for in-memory caching solutions, enhancing the speed of data access.

AWS 52

AWS NoSQL Deep Learning Datasets 52

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. Some databases like MongoDB have weak backup ability.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

JUNE 16, 2023

Roles and Responsibilities of a Data Analyst Data mining: Data analysts gather information from a variety of primary or secondary sources. They then arrange the data in a suitable format that is simple to understand. Upkeep of databases: Data analysts contribute to the design and upkeep of database systems.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Rockset

APRIL 26, 2023

This is part three in Rockset’s Making Sense of Real-Time Analytics (RTA) on Streaming Data series. In part 1 , we covered the technology landscape for real-time analytics on streaming data. In part 2 we covered the differences between real-time analytics databases and stream processing. The database has two primary jobs.

Architecture 52

Architecture Transportation Data Lake Insurance 52

Knowledge Hut

APRIL 23, 2024

Each data point provides a specific value or attribute that contributes to the overall understanding and analysis of the data. On the other hand, data sources pertain to the origins or locations from which the data is collected. Data sources provide the context and environment from which the data points are collected.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Data Engineering Podcast

FEBRUARY 3, 2019

Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Your host is Tobias Macey and today I’m interviewing Eric Kansa about Open Context, a platform for publishing, managing, and sharing research data Interview Introduction How did you get involved in the area of data management?

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

Rockset

DECEMBER 17, 2021

For those unfamiliar, DynamoDB makes database scalability a breeze, but with some major caveats. As a key-value NoSQL database, storing and retrieving individual records are its bread and butter. Rockset is a real-time analytics database designed for sub-second queries and real-time ingest. For the backend, we chose Rockset.

SQL 52

SQL NoSQL Database Design Metadata 52