Data Science Connect

JANUARY 27, 2023

Learn SQL: As a data engineer, you will be working with large amounts of data, and SQL is the most commonly used language for interacting with databases. Understanding how to write efficient and effective SQL queries is essential.

Data Engineering 130

Data Engineering Data Engineering Data Engineering Data Engineer 130

Hacker News

SEPTEMBER 6, 2023

IBM PaaS services — slated for a 3% price hike globally — include IBM’s Kubernetes Services, RedHat OpenShift, all security services, and all cloud database offerings including Message Hub, Cloudant, and SQL query services. Cloud Computing, IBM

Cloud Computing 158

Cloud Computing SQL Database 158

Dataversity

JUNE 27, 2022

A cloud database runs on a cloud computing platform that delivers it to users as a service. Cloud services offer various cloud databases, including SQL and NoSQL databases. The post Open-Source Cloud Databases: Security Best Practices appeared first on DATAVERSITY.

Database 52

Database Cloud Computing SQL 52

Smart Data Collective

NOVEMBER 8, 2020

Unlike the old days where data was readily stored and available from a single database and data scientists only needed to learn a few programming languages, data has grown with technology. Understand the Databases. As a data engineer, you will be primarily working on databases. Just like programming, SQL has multiple dialects.

Data Engineering 104

Data Engineering Data Engineering Data Engineer Data Engineering 104

Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

Database Administration Database Azure Cloud Computing 113

Data Science Blog

NOVEMBER 15, 2023

The database for Process Mining is also establishing itself as an important hub for Data Science and AI applications, as process traces are very granular and informative about what is really going on in the business processes. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

AWS Machine Learning Blog

MARCH 10, 2025

It was built using a combination of in-house and external cloud services on Microsoft Azure for large language models (LLMs), Pinecone for vectorized databases, and Amazon Elastic Compute Cloud (Amazon EC2) for embeddings. Opportunities for innovation CreditAI by Octus version 1.x

AWS 116

AWS Database AI AI 116

Pickl AI

OCTOBER 11, 2024

These include the database engine for executing queries, the query processor for interpreting SQL commands, the storage manager for handling physical data storage, and the transaction manager for ensuring data integrity through ACID properties. Data Independence: Changes in database structure do not affect application programs.

Database 52

Database SQL Big Data Analytics Big Data Analytics 52

AWS Machine Learning Blog

MAY 1, 2024

This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. To retrieve data from database, you can use foundation models (FMs) offered by Amazon Bedrock, converting text into SQL queries with specified constraints.

AWS 135

AWS Machine Learning Machine Learning SQL 135

Data Science Dojo

JULY 3, 2024

Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. AI and machine learning & Cloud-based solutions may drive future outlook for data warehousing market.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Data Science Dojo

AUGUST 18, 2023

They are typically trained on clusters of computers or even on cloud computing platforms. LlamaIndex can be used to connect LLMs to a variety of data sources, including APIs, PDFs, documents, and SQL databases. 20 essential terms for crafting LLM-powered applications 1.

Natural Language Processing 195

Natural Language Processing Database AI AI 195

Analytics Vidhya

DECEMBER 12, 2022

This article was published as a part of the Data Science Blogathon. Introduction Dear Data Engineers, this article is a very interesting topic. Let me give some flashback; a few years ago, Mr.Someone in the discussion coined the new word how ACID and BASE properties of DATA. Suddenly drop silence in the room. Everyone started […].

Data Engineering 353

Data Engineering Data Engineering Data Engineering Data Engineer 353

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. There is one Query language known as SQL (Structured Query Language), which works for a type of database. SQL Databases are MySQL , PostgreSQL , MariaDB , etc.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Smart Data Collective

MAY 20, 2019

With databases, for example, choices may include NoSQL, HBase and MongoDB but its likely priorities may shift over time. Cloud Computing and Related Mechanics. Big data, advanced analytics, machine learning, none of these technologies would exist without cloud computing and the resulting infrastructure.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

IBM Journey to AI blog

APRIL 24, 2023

Most of the enterprise or legacy data warehousing will support only structured data through relational database management system (RDBMS) databases. Significant developments in big data, cloud computing, and advanced analytics created the demand for the modern data warehouse.

Data Warehouse 112

Data Warehouse Data Lakes Database Big Data 112

Smart Data Collective

MARCH 26, 2021

These features are certainly welcome when one sees Oracle’s drive towards cloud computing that is responsible for significant customer growth. RMAN is a solution that has been fully integrated with Oracle Database. User-managed backups are done by using a combination of SQL commands and operating system commands.

Big Data 93

Big Data Big Data Cloud Computing SQL 93

Analytics Vidhya

JULY 19, 2021

The post Beginner’s Guide to Cloud based Tourism Management System appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Tourism Management System is an integrated software developed for tourism.

Data Science 289

Data Science Analytics Analytics Data Engineering 289

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation.

Azure 283

Azure ETL Analytics Analytics 283

Pickl AI

FEBRUARY 10, 2025

Covering essential topics such as EC2, S3, security, and cost optimization, this guide is designed to equip candidates with the knowledge needed to excel in AWS-related interviews and advance their careers in cloud computing. Share real-world application experiences to demonstrate practical AWS expertise.

AWS 52

AWS Cloud Computing Database Big Data Analytics 52

Pickl AI

JANUARY 22, 2025

List of 10 Programming Languages The following programming languages are shaping the future of technology by addressing modern challenges in software development across various domains like AI, cloud computing, mobile apps, and more. PHP It is a server-side scripting language that supports integration with databases like MySQL.

Python 52

Python Data Science SQL Cloud Computing 52

Applied Data Science

AUGUST 2, 2021

The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data. They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team.

Data Science 130

Data Science Data Scientist ML ML 130

Pickl AI

APRIL 6, 2023

In-depth knowledge of distributed systems like Hadoop and Spart, along with computing platforms like Azure and AWS. Sound knowledge of relational databases or NoSQL databases like Cassandra. Strong skills in working with Azure cloud-based environment with delta lake implementation. What is Microsoft Azure?

Azure 52

Azure Data Engineering Data Engineering Data Engineering 52

Pickl AI

JULY 30, 2024

The University of Nottingham offers a Master of Science in Bioinformatics, which is aimed at students with a background in biological sciences who wish to develop skills in bioinformatics, statistics, computer programming , and Data Analytics. Skills Develop proficiency in programming languages like Python , R, and SQL.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

phData

NOVEMBER 1, 2023

The Snowflake Data Cloud offers a scalable, cloud-native data warehouse that provides the flexibility, performance, and ease of use needed to meet the demands of modern businesses. Cloud computing resources come with a price tag, and without proper cost management, you might find your cloud expenses spiraling out of control.

Data Warehouse 52

Data Warehouse SQL Database Cloud Computing 52

AWS Machine Learning Blog

JULY 17, 2023

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. The SourceIdentity attribute is used to tie the identity of the original SageMaker Studio user to the Amazon Redshift database user.

Clustering 96

Clustering AWS ML ML 96

phData

JUNE 27, 2023

As a result, we are presented with specialized data platforms, databases, and warehouses. With the rise of cloud computing, the MDS has evolved even further to include cloud-based storage and tools for analysis. Platform and More dbt is a database deployment & development platform.

SQL 52

SQL Database Data Quality Data Warehouse 52

ODSC - Open Data Science

MAY 25, 2023

Ion Stoica, PhD Professor, Director | UC Berkeley, RISELab Ion Stoica, PhD’s current research focuses on cloud computing and networked computer systems. His past roles have included work in analytics, big data, R, SQL, data mining, and more. To become an ODSC APAC speaker, find more information here.

Data Science 52

Data Science Machine Learning Machine Learning Database 52

Pickl AI

NOVEMBER 4, 2024

They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes. Data Modelling Data modelling is creating a visual representation of a system or database. Physical Models: These models specify how data will be physically stored in databases.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Mlearning.ai

FEBRUARY 16, 2023

Pros and Cons of a Snowflake Data Warehouse We will guide you through the fundamental advantages and drawbacks of the Snowflake data cloud to provide you with a closer look at the solution. Snowflake Database Pros Extensive Storage Opportunities Snowflake provides affordability, scalability, and a user-friendly interface.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Pickl AI

JANUARY 13, 2025

Proficiency in programming languages like Python and SQL. Familiarity with SQL for database management. Strong understanding of database management systems (e.g., Salary Range: 12,00,000 – 35,00,000 per annum. Key Skills Expertise in statistical analysis and data visualization tools.

AI 52

AI AI Machine Learning Machine Learning 52

The MLOps Blog

JUNE 27, 2023

Dolt Dolt is an open-source relational database system built on Git. It combines the capabilities of a traditional database with the versioning and collaboration features of Git. Soda Core Soda Core is an open-source data quality management framework for SQL, Spark, and Pandas-accessible data.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

IBM Journey to AI blog

JUNE 11, 2024

This involves rehosting applications on Amazon Elastic Compute Cloud (Amazon EC2 ) (link resides outside ibm.com) instances, which may require some reconfiguration of the applications to optimize them for the cloud environment.

AWS 85

AWS AI AI Data Lakes 85

phData

MAY 25, 2023

Snowflake is a cloud computing–based data cloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode.

Power BI 84

Power BI Analytics Analytics Azure 84

Alation

JANUARY 17, 2023

The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack. Most importantly, cloud computing has gotten much faster and cheaper, emerging as the core technology driving the development of the modern data stack. How Did the Modern Data Stack Get Started?

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

SEPTEMBER 12, 2023

Database Administrator (DBA): They are responsible for managing and maintaining databases used by organizations to store and retrieve data. They ensure data security, optimize database performance, and troubleshoot any issues that arise. A strong understanding of database management systems (DBMS) is essential for this role.

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

phData

OCTOBER 12, 2023

dbt on the other hand, leverages the elasticity of the database engine on which it is executed and is built to manage the sprawl of your organization’s business logic and lineage for its various data assets – allowing the scale of your data assets to only be confined by your team’s creativity.

Data Warehouse 52

Data Warehouse Database Cloud Data Data Pipeline 52