Pinterest Engineering

JANUARY 4, 2024

While a simple key value database can be viewed as a persistent hash map, a wide column database can be interpreted as a two dimensional key-value store with a flexible columnar structure. The key difference compared to a relational database is that the columns can vary from row to row, without a fixed schema.

Database 78

Database Building Datasets Relational Database 78

Marc Lamberti

NOVEMBER 23, 2022

What’s interesting is that if you look at your operations, you usually perform database operations such as joins, aggregates, filters, etc. But, instead of using a relational database management system (RDBMS), you use Pandas and Numpy. We are going to perform data analysis on the Stock Market dataset. polars==0.14.31

Datasets 130

Datasets Python SQL Database 130

Knowledge Hut

MARCH 12, 2024

In this article, I will examine the principal distinctions and similarities between SQL vs SQLite databases. Relational databases can be interacted with using this computer language. Data kept in relational databases is managed using the programming language SQL. What is SQL? What is SQLite? How Are They Similar?

SQL 52

SQL Relational Database PostgreSQL MySQL 52

Knowledge Hut

DECEMBER 21, 2023

With the help of Hadoop big data tools, organizations can make decisions that will be based on the analysis of multiple datasets and variables, and not just small samples or anecdotal incidents. HIVE Hive is an open-source data warehousing Hadoop tool that helps manage huge dataset files. Why are Hadoop Big Data Tools Needed?

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

DECEMBER 26, 2023

Dive Into Deep Learning Quality software tools have played an essential part in the rapid advancement of deep learning alongside massive datasets and powerful hardware. SQL (Structured Query Language) is a computer language designed specifically for handling data in database management systems.

Data Science 98

Data Science Programming Language Deep Learning Machine Learning 98

Knowledge Hut

MARCH 19, 2024

Amazon RDS (Relational Database Service) Another famous AWS web application is the Amazon RDS, a relational database service managed and simple to install, operate, and scale databases on the cloud. Lambda usage includes real-time data processing, communication with IoT devices, and execution of automated tasks.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

NOVEMBER 2, 2023

Setting Up a Relational Database with Amazon RDS Difficulty Level: Intermediate AWS cloud practitioner applications can create relational databases using the Amazon Relational Database Service (RDS).

AWS 52

AWS Coding Cloud Project 52

Knowledge Hut

APRIL 25, 2024

NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase. These four fields are at the forefront of big data technology and are essential for understanding and managing large datasets.

Big Data 98

Big Data Technology NoSQL Hadoop 98

AltexSoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. Hadoop was created to deal with huge datasets rather than with a large number of files extremely smaller than the default size of 128 MB. The table below summarizes core differences between two platforms in question.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

JANUARY 24, 2024

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data. Tableau supports Python machine learning features.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Monte Carlo

JANUARY 5, 2024

Ingestion layer The ingestion layer in data lakehouse architecture extracts data from various sources, including transactional and relational databases, APIs, real-time data streams, CRM applications, NoSQL databases, and more, and brings them into the data lake. This starts at the data source.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Ingestion layer The ingestion layer in data lakehouse architecture extracts data from various sources, including transactional and relational databases, APIs, real-time data streams, CRM applications, NoSQL databases, and more, and brings them into the data lake. This starts at the data source.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

U-Next

MARCH 7, 2023

Values significantly out of a dataset’s mean are considered outliers. Data mining, report writing, and relational databases are also part of business intelligence, which includes OLAP. Based on a single or more independent variable, a logistic regression model can be used to study datasets with a particular outcome.

Data Mining 96

Data Mining Scala Government Data Governance 96

Rockset

JANUARY 19, 2024

Data can arrive late, it can be out of order, it can be incomplete or you might have a scenario where you need to enrich and extend your datasets with additional information for them to be complete. Rockset is fully mutable Rockset is a fully mutable database. In either case, the ability to change your data is very important.

SQL 59

SQL Data Datasets Database 59

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. MapReduce is a Hadoop framework used for processing large datasets. Another name for it is a programming model that enables us to process big datasets across computer clusters.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

JULY 26, 2023

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Key-value stores, columnar stores, graph-based databases, and wide-column stores are common classifications for NoSQL databases. Columnar Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

LinkedIn Engineering

JANUARY 16, 2024

At the heart of this system was a reliance on a relational database, Oracle, which served as the repository for all member restrictions data. Figure 2: Relational database schema We adopted a pragmatic and scalable approach by distributing member restrictions across different Oracle tables.

Kafka 84

Kafka Relational Database Java Architecture 84

Edureka

AUGUST 2, 2023

Python is the best language for managing massive datasets and effectively performing complex algorithms because of its syntax and variety of packages. SQL Structured Query Language, or SQL, is used to manage and work with relational databases. Data scientists use SQL to query, update, and manipulate data.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Monte Carlo

FEBRUARY 27, 2024

Right now, RAG is the essential technique to make GenAI models useful by giving an LLM access to an integrated, dynamic dataset while responding to prompts. But instead of integrating a dynamic database to an existing LLM, fine-tuning involves training an LLM on a smaller, task-specific, and labeled dataset.

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

Data Engineering Podcast

MAY 29, 2022

With Select Star’s data catalog, a single source of truth for your data is built in minutes, even across thousands of datasets. With Select Star’s data catalog, a single source of truth for your data is built in minutes, even across thousands of datasets. You’ll also get a swag package when you continue on a paid plan.

Architecture 100

Architecture Database Data Architecture PostgreSQL 100

Knowledge Hut

JULY 24, 2023

SQL is a powerful tool for managing and manipulating relational databases, and it continues to be widely used in the industry today. SQL helps businesses to query and extract data from big datasets, offering insights into market trends, customer behavior, and other crucial elements that drive decision-making.

Database 52

Database SQL Process NoSQL 52

Towards Data Science

MARCH 5, 2024

Photo by Shubham Dhage on Unsplash While data normalization holds merit in traditional relational databases, the paradigm shifts when dealing with modern analytics platforms like BigQuery. Also, storage is much cheaper than compute and that means: With pre-joined datasets, you exchange compute for storage resources!

Bytes 69

Bytes Google Cloud Cloud Storage Utilities 69

Datakin

AUGUST 5, 2021

Each dataset and job exists in a unique operational context, with interdependencies that may seem simple…until they multiply. By studying queries that have been executed, they create a rough mapping of input/output datasets. But what if your data isn’t in a relational database? Let’s call them query log analysis systems.

Metadata 52

Metadata Relational Database Datasets SQL 52

Knowledge Hut

NOVEMBER 17, 2023

Understanding SQL You must be able to write and optimize SQL queries because you will be dealing with enormous datasets as an Azure Data Engineer. To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. In total, datasets prepared for ML projects amount to thousands of data samples. No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

DECEMBER 28, 2023

. "Once the business data have been centralized and integrated, the value of the database is greater than the sum of the preexisting parts." Working with databases is essential for developers, regardless of their field. There are two primary types of databases: relational and non-relational.

Database 52

Database MySQL SQL Relational Database 52

Ascend.io

MAY 24, 2023

Let’s take a look at some of the datasets that we receive from hospitals. Biome Analytics receives two types of datasets from hospitals: financial and clinical datasets. The clinical dataset consists of all characteristics, treatments, and outcomes of cardiac disease patients. billion financial records and 8.3

Healthcare 52

Healthcare Data Pipeline Hospitality Datasets 52

Knowledge Hut

FEBRUARY 28, 2024

To analyze big data, we require sophisticated software and dedicated databases. It involves extracting valuable insights from these massive datasets to gain a competitive advantage. SQL-based Technologies SQL is the most prominent programming language used to work with relational databases (where data is stored in rows and columns).

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

U-Next

AUGUST 25, 2022

Or, to put it another way, the MongoDB environment provides you with a server that you can launch and use to host several datasets utilizing MongoDB. Due to its NoSQL database, the data is kept as a collection and documents. As a result, the databases, collections, and publications are connected. What is MongoDB Database?

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

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. These databases often require high-speed storage to deliver fast read and write operations, making I-Series instances a suitable choice.

AWS 52

AWS NoSQL Deep Learning Datasets 52

ProjectPro

FEBRUARY 8, 2023

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service.

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. They analyze datasets to find trends and patterns and report the results using visualization tools. Data engineers can also create datasets using Python. It is an outcome of coordination between different statistical tools.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Booking.com Engineering

DECEMBER 2, 2022

A Unified View for Operational Data We kept most of our operational data in relational databases, like MySQL. When our queries span both datasets, Federated Queries fetch real-time, snapshot-consistent data from both stores immediately. Fig 2: An overview of BigQuery’s disaggregation of storage, memory, and compute[13].

Systems 52

Systems Cloud MySQL Relational Database 52

Knowledge Hut

JUNE 23, 2023

Data architecture to tackle datasets and the relationship between processes and applications. Coding helps you link your database and work with all programming languages. You should be well-versed in Python and R, which are beneficial in various data-related operations.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

JUNE 30, 2023

Developed by the famous tech giant Microsoft, SQL Server is a durable DBMS that offers a vast range of features for the management of relational databases. They are used to organize data into different tables, which consist of rows and columns, and follow a relational model. Microsoft SQL Server: What is DBMS in SQL?

MySQL 52

MySQL Medical Relational Database Healthcare 52

Knowledge Hut

JANUARY 30, 2024

The purpose of data extraction is to transform large, unwieldy datasets into a usable and actionable format. Data extraction serves as a means for businesses to harness the potential hidden within these otherwise challenging datasets, often extending their utility beyond their original intended purpose.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

AltexSoft

MAY 14, 2021

This data isn’t just about structured data that resides within relational databases as rows and columns. Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools. What is Big Data analytics?

Big Data 78

Big Data Data Analytics IT NoSQL 78