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

Rockset

JULY 6, 2022

This is the fifth post in a series by Rockset's CTO and Co-founder Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. Similarly, databases are only useful for today’s real-time analytics if they can be both strict and flexible. Traditionally, schemas are strictly enforced.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

Rockset

SEPTEMBER 2, 2022

I recently had the good fortune to host a small-group discussion on personalization and recommendation systems with two technical experts with years of experience at FAANG and other web-scale companies. Garg also blogs regularly on real-time data and recommendation systems – read and subscribe here. That’s not machine learning.

Systems 52

Systems Building Machine Learning NoSQL 52

Knowledge Hut

JANUARY 22, 2024

When it comes to managing data, a database management system (DBMS) is a vital tool. Database management systems (DBMS) use entities to represent and manage data. In a DBMS, entities are usually organized into tables, which allow for more efficient storage and retrieval of data.

MongoDB 98

MongoDB Database Data Mining Relational Database 98

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

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

They identify business problems and opportunities to enhance the practices, processes, and systems within an organization. Using Big Data, they provide technical solutions and insights that can help achieve business goals. They transform data into easily understandable insights using predictive, prescriptive, and descriptive analysis.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

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

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

Knowledge Hut

APRIL 25, 2024

Information Technology uses computer systems or devices to access information. This system is responsible for a large portion of any workforce, business operation, and other personal access information comprising an individual's daily activities. It helps in storing the data in the CPU. What is Information Technology?

Technology 52

Technology Recruitment Media Cloud Computing 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

Knowledge Hut

MARCH 28, 2024

There are several basic and advanced types of data structures for arranging the information for specific purposes. Data structure makes it very easy to maintain data as per your requirements. Most importantly, data structures frame the organization of data so the computer system and humans can better understand it.

Algorithm 52

Algorithm Java Utilities Data 52

Knowledge Hut

FEBRUARY 6, 2024

A Summary of day-to-day tasks carried out by a DevOps engineer - Design, build, test and deploy scalable, distributed systems from development through production Manage the code repository(such as Git, SVN, BitBucket, etc.) DevOps is a vast environment that fits almost all technologies and processes into it.

Engineering 98

Engineering Programming Language Amazon Web Services Google Cloud 98

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

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

Striim

MAY 1, 2024

The sheer volume of data generated from the increasing package deliveries overwhelmed existing data management systems, underscoring a critical need for more advanced data handling capabilities. The absence of real-time data processing capabilities hindered UPS Capital’s risk management and rapid response efforts.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

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. Data consistency means that all data in the database is consistent with itself.

MongoDB 52

MongoDB Relational Database Database Accessible 52

DareData

JANUARY 30, 2023

Data Ingestion Data ingestion refers to the process of importing data into a system or database for storage and analysis. This can involve extracting data from various sources, such as files, operational databases, APIs or IoT data, and transforming it into a format that is suitable for storage and analysis.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

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

Data Engineering Podcast

JUNE 17, 2021

Summary Working with unstructured data has typically been a motivation for a data lake. Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable. No more scripts, just SQL.

Unstructured Data 100

Unstructured Data Data Warehouse Metadata Media 100

Snowflake

AUGUST 25, 2023

SQL—the standard programming language of relational databases—was not included in these benchmarks. As part of our vision to bring generative AI and LLMs to the data , we are evaluating a variety of foundational models that could serve as the baseline for text-to-SQL capabilities in the Data Cloud.

Coding 73

Coding SQL Data Cleanse Database 73

Knowledge Hut

JANUARY 11, 2024

Data science is the field of study that deals with a huge volume of data using modern technologically driven tools and techniques to find some sort of pattern and derive meaningful information out of it that eventually helps in business and financial decisions. This work is done by financial data scientists.

Finance 93

Finance Data Science Programming Language Machine Learning 93

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.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

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

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. However, data warehouses can experience limitations and scalability challenges.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. However, data warehouses can experience limitations and scalability challenges.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. However, data warehouses can experience limitations and scalability challenges.

Data Management 52

Data Management Data Lake Management Data Governance 52

Knowledge Hut

MAY 2, 2024

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. Apache Spark is a fast and general-purpose cluster computing system.

Scala 94

Scala Hadoop Datasets Java 94

Rockset

MARCH 24, 2022

Even though the complexity, data shape and data volume are increasing and changing, companies are looking for simpler and faster database solutions. More so now than before, companies want to easily query data across different sources without worrying about data ops.

Non-relational Database 52

Non-relational Database Relational Database Database Data Pipeline 52

Ascend.io

FEBRUARY 28, 2024

And crucially, what does the future hold for data engineering in an AI-driven world? While data engineering and Artificial Intelligence (AI) may seem like distinct fields at first glance, their symbiosis is undeniable. The foundation of any AI system is high-quality data.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 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

Knowledge Hut

DECEMBER 21, 2023

Top 10 Hadoop Tools This Hadoop tools list will give you a brief idea about the top 10 Hadoop tools used by big data analysts. HDFS HDFS is the abbreviated form of Hadoop Distributed File System and is a component of Apache Hadoop. Before we understand what HDFS is, we first need to know what a file system is.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Rockset

AUGUST 2, 2023

For one, the company decided to invest in an API Insights Lab where customers and partners across suppliers, carriers, governments and insurance companies could use maritime data as part of their internal systems and workflows. Windward also used specialized databases like Elasticsearch for specific functionality like text search.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Data Engineering Weekly

JUNE 4, 2023

[link] Uber: Spark Analysers: Catching Anti-Patterns In Spark Apps One of the challenges in commoditizing data processing engines like Spark is that it requires an expert user to understand and operate this system. We will see more tools around the unit test framework for the data pipeline soon. We can do better than that, tbh.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52