Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Data Science Blog

NOVEMBER 15, 2023

Simple Data Model for a Process Mining Event Log As part of data engineering, the data traces that indicate process activities are brought into a log-like schema. 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

Data Science Dojo

JULY 3, 2024

Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Applied Data Science

AUGUST 2, 2021

Team Building the right data science team is complex. With a range of role types available, how do you find the perfect balance of Data Scientists , Data Engineers and Data Analysts to include in your team? The Data Engineer Not everyone working on a data science project is a data scientist.

Data Science 130

Data Science Data Scientist ML ML 130

ODSC - Open Data Science

FEBRUARY 17, 2023

Computer science, math, statistics, programming, and software development are all skills required in NLP projects. Cloud Computing, APIs, and Data Engineering NLP experts don’t go straight into conducting sentiment analysis on their personal laptops. Knowing some SQL is also essential.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Analytics Vidhya

MARCH 8, 2023

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

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? The post Data Science Blogathon 28th Edition appeared first on Analytics Vidhya. If all of these describe you, then this Blogathon announcement is for you!

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

Analytics Vidhya

JULY 19, 2021

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. The post Beginner’s Guide to Cloud based Tourism Management System appeared first on Analytics Vidhya.

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

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 87

AWS Clustering Machine Learning Machine Learning 87

Pickl AI

JANUARY 13, 2025

Key Skills Expertise in statistical analysis and data visualization tools. Proficiency in programming languages like Python and SQL. Key Skills Proficiency in data visualization tools (e.g., Familiarity with SQL for database management. Proficiency in Data Analysis tools for market research.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JANUARY 17, 2023

The data would be further interpreted and evaluated to communicate the solutions to business problems. There are various other professionals involved in working with Data Scientists. This includes Data Engineers, Data Analysts, IT architects, software developers, etc.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. Python is the most common programming language used in machine learning.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Mlearning.ai

FEBRUARY 16, 2023

Data warehousing is a vital constituent of any business intelligence operation. Companies can build Snowflake databases expeditiously and use them for ad-hoc analysis by making SQL queries. Machine Learning Integration Opportunities Organizations harness machine learning (ML) algorithms to make forecasts on the data.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

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

These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

SEPTEMBER 5, 2024

By leveraging Azure’s capabilities, you can gain the skills and experience needed to excel in this dynamic field and contribute to cutting-edge data solutions. Microsoft Azure, often referred to as Azure, is a robust cloud computing platform developed by Microsoft. What is Azure?

Azure 52

Azure Data Scientist Data Science Machine Learning 52

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. This provides end-to-end support for data engineering and MLOps workflows.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Dataconomy

MAY 2, 2023

Familiarity with machine learning frameworks, data structures, and algorithms is also essential. Additionally, expertise in big data technologies, database management systems, cloud computing platforms, problem-solving, critical thinking, and collaboration is necessary. How data engineers tame Big Data?

ML 110

ML ML Machine Learning Machine Learning 110

Pickl AI

SEPTEMBER 12, 2023

Data Analyst: Data Analysts work with data to extract meaningful insights and support decision-making processes. They gather, clean, analyze, and visualize data using tools like Excel, SQL, and data visualization software. Why Pursue a Course in Data Science?

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

AWS Machine Learning Blog

JANUARY 26, 2024

This is backed by our deep set of over 300 cloud security tools and the trust of our millions of customers, including the most security-sensitive organizations like government, healthcare, and financial services.

AWS 137

AWS ML ML AI 137

ODSC - Open Data Science

MARCH 5, 2025

In the ever-expanding world of data science, the landscape has changed dramatically over the past two decades. Once defined by statistical models and SQL queries, todays data practitioners must navigate a dynamic ecosystem that includes cloud computing, software engineering best practices, and the rise of generative AI.

Data Science 52

Data Science Cloud Computing SQL Machine Learning 52