Cloud Computing, Hadoop and SQL - Data Science Current

Cloud Computing

Hadoop

SQL

Becoming a Data Engineer: 7 Tips to Take Your Career to the Next Level

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

Data Engineering Data Engineering Data Engineer Data Engineering

What Does a Data Engineer’s Career Path Look Like?

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

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Webinars

How to Achieve High-Accuracy Results When Using LLMs

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Trending Sources

How Will The Cloud Impact Data Warehousing Technologies?

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 company works consistently to enhance its business intelligence solutions through innovative new technologies including Hadoop-based services.

Data Warehouse

Data Warehouse Big Data Big Data Big Data Analytics

Webinars

How to Achieve High-Accuracy Results When Using LLMs

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB.

Data Science

Data Science Machine Learning Machine Learning Data Visualization

Data Science Blogathon 30th Edition- Women in Data Science

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

Data Science Analytics Analytics Apache Hadoop

6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

MAY 20, 2019

For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. 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

Analytics Analytics Data Analyst Machine Learning

Data Science Blogathon 28th Edition

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

Data Science Analytics Analytics Hadoop

Data Science Career FAQs Answered: Educational Background

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

Data Science Data Scientist Machine Learning Machine Learning

Top 10 Jobs in AI and the Right AI Skills

Pickl AI

JANUARY 13, 2025

Proficiency in programming languages like Python and SQL. Familiarity with SQL for database management. Hadoop , Apache Spark ) is beneficial for handling large datasets effectively. Salary Range: 12,00,000 – 35,00,000 per annum. Key Skills Expertise in statistical analysis and data visualization tools.

AI AI Machine Learning Machine Learning

Azure Data Engineer Jobs

Pickl AI

APRIL 6, 2023

In-depth knowledge of distributed systems like Hadoop and Spart, along with computing platforms like Azure and AWS. Strong skills in working with Azure cloud-based environment with delta lake implementation. Hands-on experience working with SQLDW and SQL-DB. Knowledge in using Azure Data Factory Volume. What is Polybase?

Azure

Azure Data Engineering Data Engineering Data Engineer

Discover the Most Important Fundamentals of Data Engineering

Pickl AI

NOVEMBER 4, 2024

Various types of storage options are available, including: Relational Databases: These databases use Structured Query Language (SQL) for data management and are ideal for handling structured data with well-defined relationships. Apache Spark Spark is a fast, open-source data processing engine that works well with Hadoop.

Data Engineering

Data Engineering Data Engineering Data Engineer Data Engineering

Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. It’s also necessary to understand data cleaning and processing techniques.

Machine Learning

Machine Learning Machine Learning Data Science Big Data

Predicting the Future of Data Science

Pickl AI

DECEMBER 4, 2024

A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. Grasp the Fundamentals of Data Analysis and Management Build a strong foundation in Data Analysis by learning data manipulation techniques using SQL and Excel.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

The Evolving Role of the Modern Data Practitioner

ODSC - Open Data Science

MARCH 5, 2025

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. In the ever-expanding world of data science, the landscape has changed dramatically over the past two decades.

Data Science

Data Science Cloud Computing SQL Machine Learning

Becoming a Data Engineer: 7 Tips to Take Your Career to the Next Level

What Does a Data Engineer’s Career Path Look Like?

Webinars

Trending Sources

How Will The Cloud Impact Data Warehousing Technologies?

Webinars

A Guide to Choose the Best Data Science Bootcamp

Data Science Blogathon 30th Edition- Women in Data Science

6 Data And Analytics Trends To Prepare For In 2020

Data Science Blogathon 28th Edition

Data Science Career FAQs Answered: Educational Background

Top 10 Jobs in AI and the Right AI Skills

Azure Data Engineer Jobs

Discover the Most Important Fundamentals of Data Engineering

Data science vs. machine learning: What’s the difference?

Predicting the Future of Data Science

The Evolving Role of the Modern Data Practitioner

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