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

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.

Data Engineer 52

Data Engineer Data Engineering NoSQL Engineering 52

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.

Database 52

Database Relational Database Algorithm PostgreSQL 52

Knowledge Hut

MARCH 15, 2024

RDBMS vs NoSQL: Benefits RDBMS: Data Integrity: Enforces relational constraints, ensuring consistency. Structured Data: Ideal for complex relationships between entities. NoSQL: Scalability: Easily scales horizontally to handle large volumes of data. Denormalization: Emphasizes performance by storing redundant data.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. Data is stored in a schema-on-write approach, which means data is cleaned, transformed, and structured before storing.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. Data is stored in a schema-on-write approach, which means data is cleaned, transformed, and structured before storing.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. Data is stored in a schema-on-write approach, which means data is cleaned, transformed, and structured before storing.

Data Management 52

Data Management Management Data Lake Data Governance 52

phData: Data Engineering

SEPTEMBER 19, 2023

This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake? What are Data Modeling Methodologies, and Why Are They Important for a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Monte Carlo

AUGUST 25, 2023

That’s why it’s essential for teams to choose the right architecture for the storage layer of their data stack. But, the options for data storage are evolving quickly. So let’s get to the bottom of the big question: what kind of data storage layer will provide the strongest foundation for your data platform?

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Knowledge Hut

APRIL 23, 2024

Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data. Data warehousing offers several advantages. By structuring data in a predefined schema, data warehouses ensure data consistency and accuracy.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

SEPTEMBER 26, 2023

This is particularly valuable in today's data landscape, where information comes in various shapes and sizes. Effective Data Storage: Azure Synapse offers robust data storage solutions that cater to the needs of modern data-driven organizations.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

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.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Monte Carlo

NOVEMBER 21, 2024

This approach is fantastic when you’re not quite sure how you’ll need to use the data later, or when different teams might need to transform it in different ways. It’s more flexible than ETL and works great with the low cost of modern data storage. The data lakehouse has got you covered!

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

Database 52

Database NoSQL Management Relational Database 52

RandomTrees

SEPTEMBER 17, 2024

Level III: Volumes, Tables, Views, Functions & Models Volumes: It is a Logical volume of unstructured, non-tabular data stored in cloud object storage. Tables: It is a collection of data organized by rows and columns and forming the core of structured data storage.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

Snowflake

JUNE 5, 2024

Cortex AI Cortex Analyst: Enable business users to chat with data and get text-to-answer insights using AI Cortex Analyst, built with Meta’s Llama 3 and Mistral Large models, lets you get the insights you need from your structured data by simply asking questions in natural language.

Coding 90

Coding Building Management Government 90

Knowledge Hut

APRIL 25, 2023

It provides a flexible data model that can handle different types of data, including unstructured and semi-structured data. Key features: Flexible data modeling High scalability Support for real-time analytics 4. Key features: Instant elasticity Support for semi-structured data Built-in data security 5.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 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

NOVEMBER 3, 2023

MongoDB is used for data science, meaning that we utilize the capabilities of this NoSQL database system as part of our data analysis and data modeling processes, which fall under the realm of data science. There are several benefits to MongoDB for data science operations. Why Use MongoDB for Data Science?

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

FEBRUARY 29, 2024

A database is a structured data collection that is stored and accessed electronically. File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets. According to a database model, the organization of data is known as database design.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Edureka

FEBRUARY 9, 2023

Data engineering is a new and evolving field that will withstand the test of time and computing advances. Certified Azure Data Engineers are frequently hired by businesses to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

Knowledge Hut

JANUARY 3, 2024

A linear data structure is one where data items are arranged in a linear fashion. The structure permits single-level data storage because the data elements are stored in a linear fashion. The data can be traversed in one run. A linear data structure does not maximize memory.

Data Storage 52

Data Storage Data Systems Data Science 52

Knowledge Hut

APRIL 25, 2024

Compute: Through the method of computing, or data processing, is an important aspect of Information Technology. It helps in storing the data in the CPU. Data Storage: The place where the information is stated somewhere safe without directly being processed. It is looked after by the Database Management System (DBMS).

Technology 52

Technology Recruitment Media Cloud Computing 52

Grouparoo

DECEMBER 26, 2021

For data storage, the database is one of the fundamental building blocks. NoSQL databases are horizontally scalable; adding additional processing and storage facilities to manage new instances of the database will increase the size of the database. The format for storing data plays a critical role in this process.

Database 52

Database NoSQL Relational Database Data Storage 52

Grouparoo

JANUARY 11, 2022

The integration of data from separate sources becomes a self-consistent data set with the removal of duplications and flagging of inconsistencies or, if possible, their resolution. Data storage uses a non-volatile environment with strict management controls on the modification and deletion of data.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Edureka

JULY 4, 2024

Amazon EMR owns and maintains the heavy-lifting hardware that your analyses require, including data storage, EC2 compute instances for big jobs and process sizing, and virtual clusters of computing power. Let’s see what is AWS EMR, its features, benefits, and especially how it helps you unlock the power of your big data.

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

Knowledge Hut

MARCH 28, 2024

More advanced data structures, such as B-trees, are used to index objects stored in databases. Characteristics of Data Structures Data structures are frequently classed by their properties. Programming elegance: Is the data structure's organization and functional interface user-friendly?

Algorithm 52

Algorithm Java Utilities Programming 52

Snowflake

JULY 10, 2023

Processing files in a Python UDF and Stored Procedure has piqued the interest of our data scientists and paves the way for automation of new, complex data pipelines.” Mike Tuck, Air Pollution Specialist Why unstructured data? Files read with a function or procedure are resolved with the function or procedure owner’s context.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Snowflake

MARCH 30, 2023

Snowflake can also ingest external tables from on-premise s data sources via S3-compliant data storage APIs. Batch/file-based data is modeled into the raw vault table structures as the hub, link, and satellite tables illustrated at the beginning of this post. Enter Snowpark !

Engineering 85

Engineering Raw Data Data Science Machine Learning 85

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop Relational Database AWS 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. But, in the majority of cases, Hadoop is the best fit as Spark’s data storage layer.

Hadoop 96

Hadoop Scala Datasets Java 96

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 85

Systems Hadoop Metadata Telecommunication 85

Edureka

JULY 16, 2024

Introduction Amazon Redshift, a cloud data warehouse service from Amazon Web Services (AWS), will directly query your structured and semi-structured data with SQL. A fast, secure, and cost-effective, petabyte-scale, managed cloud object storage platform. Check out the AWS Tutorial for further details.

AWS 40

AWS Data Warehouse Amazon Web Services Business Intelligence 40

Towards Data Science

JANUARY 17, 2024

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction.

Big Data 69

Big Data Data Data Storage SQL 69