Pickl AI

JANUARY 9, 2025

Summary: Cloud computing security architecture is essential for protecting sensitive data, ensuring compliance, and preventing threats. As technology advances, AI, machine learning, and blockchain play vital roles in strengthening cloud security frameworks to safeguard businesses against evolving risks. from 2024 to 2030.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning ML 52

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

Data Science Dojo

OCTOBER 4, 2024

Programming Skills: Proficiency in programming languages such as Python, R, Java, and SQL. Key Skills Required Technical Proficiency: Strong understanding of database management systems (DBMS) like SQL, Oracle, and MySQL. Data Visualization Techniques: Ability to transform complex data into understandable graphs and charts.

Computer Science 418

Computer Science Computer Science Database Administration Data Scientist 418

Smart Data Collective

NOVEMBER 8, 2020

As such, you should begin by learning the basics of SQL. SQL is an established language used widely in data engineering. Just like programming, SQL has multiple dialects. Besides SQL, you should also learn how to model data. Learn Cloud Computing. However, you don’t need to learn them all.

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

AWS Machine Learning Blog

NOVEMBER 8, 2023

In this era of cloud computing, developers are now harnessing open source libraries and advanced processing power available to them to build out large-scale microservices that need to be operationally efficient, performant, and resilient. This can lead to higher latency and increased network bandwidth utilization.

AWS 131

AWS Cloud Computing ML ML 131

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

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

Data Science Blog

NOVEMBER 15, 2023

Example Event Log for Process Mining The following example SQL-query is inserting Event-Activities from a SAP ERP System into an existing event log database table. A simple event log is therefore a simple table with the minimum requirement of a process number (case ID), a time stamp and an activity description.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Smart Data Collective

MAY 20, 2019

Cloud Computing and Related Mechanics. Big data, advanced analytics, machine learning, none of these technologies would exist without cloud computing and the resulting infrastructure. SQL programming skills, specific tool experience — Tableau for example — and problem-solving are just a handful of examples.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

AWS Machine Learning Blog

MAY 1, 2024

To retrieve data from database, you can use foundation models (FMs) offered by Amazon Bedrock, converting text into SQL queries with specified constraints. Additionally, the Agent Executor function generates SQL queries that are run against the AWS Glue database through Athena.

AWS 135

AWS Machine Learning Machine Learning SQL 135

AWS Machine Learning Blog

MARCH 10, 2025

We had to migrate our AuthZ backend from Airbyte to native SQL replication so that it can support access management in near real time at scale. The integration of text-to-SQL will enable users to query structured databases using natural language, simplifying data access.

AWS 116

AWS Database AI AI 116

KDnuggets

JANUARY 7, 2020

An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization's big data platform to be fast, efficient and scalable.

Data Engineering 400

Data Engineering Data Engineering Data Engineering Data Engineer 400

Analytics Vidhya

AUGUST 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data is compelling and critical for businesses to generate actionable and valuable insights only when used correctly. In addition, it is also essential to analyze and organize it well. However, only a few business data are analyzed and stored appropriately.

Azure 378

Azure Data Science Analytics Analytics 378

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

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. User-managed backups are done by using a combination of SQL commands and operating system commands. RMAN is a solution that has been fully integrated with Oracle Database.

Big Data 93

Big Data Big Data Cloud Computing SQL 93

Towards AI

APRIL 19, 2024

PwC 👉Industry domain: AI, Professional services, Business intelligence, Consulting, Cybersecurity, Generative AI 👉Location: 73 offices 👉Year founded: 1998 👉Programming Languages Deployed: Java, Google Cloud, Microsoft SQL, jQuery, Pandas, R, Oracle 👉Benefits: Hybrid workspace, Child care and parental leave, flexible (..)

AI 105

AI AI Artificial Intelligence Artificial Intelligence 105

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

Data Science 345

Data Science Analytics Analytics Apache Hadoop 345

Analytics Vidhya

DECEMBER 12, 2022

Data science is one of India’s rapidly growing and in-demand industries, with far-reaching applications in almost every domain. Not just the leading technology giants in India but medium and small-scale companies are also betting on data science to revolutionize how business operations are performed.

Analytics 342

Analytics Analytics Data Science Data Visualization 342

Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […].

Data Science 328

Data Science Analytics Analytics Hadoop 328

Analytics Vidhya

JANUARY 30, 2023

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

Azure 327

Azure Database Analytics Analytics 327

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Data analytics solutions collect, process, and analyze data to extract insights and make informed business decisions. The need for a data analytics solution arises from the increasing amount of data organizations generate and the need to extract value from that data.

Analytics 301

Analytics Analytics Data Visualization Data Analysis 301

Smart Data Collective

JUNE 4, 2021

Skills that are in high demand for data science positions are big data (spark), no sql (mongo db), and cloud computing. Popular options among cloud computing are amazon web services, google cloud, and Microsoft azure. Along with data science, other related skills are needed to work on data science projects.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Analytics Vidhya

APRIL 20, 2023

In that case, it’s important to have a basic understanding of the Google Cloud Platform. Introduction Suppose you are appearing in an interview for the GCP beginner role. Also, it must have the quality to communicate with the team in deployment and communicate effectively with a technical and non-technical persons.

Analytics 290

Analytics Analytics SQL Cloud Computing 290

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

JULY 30, 2022

Introduction Google Cloud Platform (GCP) consists of many database services. GCP offers three reference architectures for global data distribution – a hybrid, multi-cloud, and regional distribution. This article was published as a part of the Data Science Blogathon.

Database 287

Database Data Science Analytics Analytics 287

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

IBM Journey to AI blog

APRIL 24, 2023

Significant developments in big data, cloud computing, and advanced analytics created the demand for the modern data warehouse. Many enterprises seek a flexible, hybrid, and multi-cloud solution based on cloud providers. Managing, storing, and processing data is critical to business efficiency and success.

Data Warehouse 112

Data Warehouse Data Lakes Database Big Data 112

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

ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects. Knowing some SQL is also essential.

Data Science 111

Data Science Deep Learning Deep Learning Natural Language Processing 111

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. SQL SQL specialises in querying relational databases efficiently.

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

Analytics Vidhya

AUGUST 21, 2022

Introduction Mainframes and punch cards were the first to be used for batch processing, leading to the discovery of Microsoft Azure Batch Services: Compute Management Platform. This article was published as a part of the Data Science Blogathon.

Azure 270

Azure Data Science Analytics Analytics 270

AWS Machine Learning Blog

AUGUST 8, 2023

It offers magic ( %spark , %sql ) commands to run Spark code, perform SQL queries, and configure Spark settings like executor memory and cores. IT admins can standardize and expedite the provisioning of the solution in the cloud and avoid proliferation of custom development environments for ML projects.

AWS 96

AWS Clustering Machine Learning Machine Learning 96

Mlearning.ai

MAY 23, 2023

Familiarity with libraries like pandas, NumPy, and SQL for data handling is important. Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus. This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA).

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

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

APRIL 8, 2020

This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144