Flipboard

JUNE 10, 2023

When we say “database” today we are probably talking about persistent storage, relational tables, and SQL. Rows and Columns, and all that stuff.

Database 123

Database SQL Computer Science Computer Science 123

Flipboard

FEBRUARY 13, 2025

Algorithms: Design and Analysis Algorithms: Design and Analysis Part 2 America's Poverty and Inequality Course Communicating with Presence Comparative Democratic Development Part I: Conditions of Democracy Comparative Democratic Development Part II: Structuring Democracy Compilers Computer Science 101 Databases: Advanced Topics in SQL Databases: Modeling (..)

Database 146

Database SQL Computer Science Computer Science 146

AWS Machine Learning Blog

AUGUST 30, 2024

In this post, we provide an overview of the Meta Llama 3 models available on AWS at the time of writing, and share best practices on developing Text-to-SQL use cases using Meta Llama 3 models. Meta Llama 3’s capabilities enhance accuracy and efficiency in understanding and generating SQL queries from natural language inputs.

SQL 92

SQL AWS Database AI 92

AWS Machine Learning Blog

DECEMBER 4, 2024

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. Use Amazon Athena SQL queries to provide insights.

AWS 107

AWS AI AI SQL 107

Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

Database 158

Database AWS ETL SQL 158

Hacker News

JULY 17, 2023

She wanted students to know that there are things called databases. That databases, if they are designed well, are easy to index and to find information in. Databases could be used to automatically generate Web pages. We used these blocks to talk about queries and database design in the class.

Database 122

Database Computer Science Computer Science Algorithm 122

Smart Data Collective

NOVEMBER 8, 2020

Forging a Career Path in the Field of Data Science. With advancing technology, the data science space is rapidly evolving. 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. and globally.

Data Engineering 104

Data Engineering Data Engineering Data Engineer Data Engineering 104

Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 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. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Dataconomy

JULY 24, 2023

To put it another way, a data scientist turns raw data into meaningful information using various techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. Machine learning Machine learning is a key part of data science.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Data Science Dojo

AUGUST 18, 2023

LlamaIndex can be used to connect LLMs to a variety of data sources, including APIs, PDFs, documents, and SQL databases. Vector databases Vector databases are a type of database that is optimized for storing and querying vector data. However, it can also be a time-consuming and computationally expensive process.

Natural Language Processing 195

Natural Language Processing Database AI AI 195

Pickl AI

APRIL 21, 2025

Data Science extracts insights and builds predictive models from processed data. Big Data technologies include Hadoop, Spark, and NoSQL databases. Data Science uses Python, R, and machine learning frameworks. This might involve querying databases, scraping websites, accessing APIs, or using existing datasets.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

Smart Data Collective

OCTOBER 11, 2021

Some employers will specifically look for candidates to have a four-year degree in computer science, data science, software engineering, or a related field. It’s not strictly necessary to have a bachelor’s degree to begin working in data engineering, but it certainly helps.

Data Engineering 132

Data Engineering Data Engineering Data Engineer Data Engineering 132

Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired. Release v1.0

Tableau 145

Tableau ML ML Database 145

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Technical challenges with multi-modal data further include the complexity of integrating and modeling different data types, the difficulty of combining data from multiple modalities (text, images, audio, video), and the need for advanced computer science skills and sophisticated analysis tools.

AWS 135

AWS AI AI ML 135

Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. You can use query_string to filter your dataset by SQL and unload it to Amazon S3.

ML 123

ML ML AWS Data Warehouse 123

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

JUNE 26, 2024

Analysts need to learn new tools and even some programming languages such as SQL (with different variations). Action groups – Action groups are interfaces that an agent uses to interact with the different underlying components such as APIs and databases.

AWS 137

AWS AI AI Database 137

Mlearning.ai

APRIL 24, 2023

Learning about the framework of a service cloud platform is time consuming and frustrating because there is a lot of new information from many different computing fields (computer science/database, software engineering/developers, data science/scientific engineering & computing/research).

Azure 52

Azure SQL Database Python 52

Pickl AI

MARCH 3, 2025

Key skills include SQL, data visualization, and business acumen. Essential skills include SQL, data visualization, and strong analytical abilities. It gathers information from various sources sales databases, marketing platforms, customer feedback, and more and consolidates it into a unified view.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Pickl AI

FEBRUARY 28, 2023

Significantly, Data Science experts have a strong foundation in mathematics, statistics, and computer science. Furthermore, they must be highly efficient in programming languages like Python or R and have data visualization tools and database expertise. Who is a Data Analyst? in manipulating and analysing the data.

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52

ODSC - Open Data Science

FEBRUARY 14, 2023

These models are the technology behind Open AI’s DALL-E and GPT-3 , and are powerful enough to understand natural language commands and generate high-quality code to instantly query databases. A massively scalable database that can be used to power popular internet sites would need to have several key features to be successful.

Database 124

Database AI AI Natural Language Processing 124

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first OEM contract with the database company Hyperion—that’s when I was hired. Release v1.0

Tableau 98

Tableau ML ML Database 98

Pickl AI

JANUARY 22, 2025

Importance of Programming Languages Programming languages are foundational to computer science and technology, enabling the creation of software that powers modern society. It facilitates innovation, problem-solving, and efficient communication with computers. SQL SQL specialises in querying relational databases efficiently.

Python 52

Python Data Science SQL Cloud Computing 52

AWS Machine Learning Blog

JUNE 25, 2024

In addition, the generative business intelligence (BI) capabilities of QuickSight allow you to ask questions about customer feedback using natural language, without the need to write SQL queries or learn a BI tool. The processed output is stored in a database or data warehouse, such as Amazon Relational Database Service (Amazon RDS).

AWS 128

AWS Natural Language Processing Machine Learning Machine Learning 128

Dataconomy

JULY 25, 2023

Data science can be understood as a multidisciplinary approach to extracting knowledge and actionable insights from structured and unstructured data. It combines techniques from mathematics, statistics, computer science, and domain expertise to analyze data, draw conclusions, and forecast future trends.

Data Science 91

Data Science Data Scientist Machine Learning Machine Learning 91

Pickl AI

JULY 30, 2024

Summary: Bioinformatics Scientists apply computational methods to biological data, using tools like sequence analysis, gene expression analysis, and protein structure prediction to drive biological innovation and improve healthcare outcomes. Skills Develop proficiency in programming languages like Python , R, and SQL.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 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., Most AI jobs require a degree in computer science or a related field along with specialized training or certifications in machine learning or data science.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JUNE 21, 2023

Gain knowledge in data manipulation and analysis: Familiarize yourself with data manipulation techniques using tools like SQL for database querying and data extraction. FAQs Is Data Science good for a non-technical background? As a Data Scientist, you need a strong background in Mathematics and Computer Science.

Data Scientist 52

Data Scientist Data Science Computer Science Computer Science 52

Pickl AI

JUNE 19, 2024

Computer Science A computer science background equips you with programming expertise, knowledge of algorithms and data structures, and the ability to design and implement software solutions – all valuable assets for manipulating and analyzing data. Databases and SQL Data doesn’t exist in a vacuum.

Data Science 52

Data Science Data Scientist Hypothesis Testing Natural Language Processing 52

Dataconomy

MARCH 24, 2023

They may also be involved in data modeling and database design. A degree in computer science, mathematics, statistics, or a related field is often preferred. Database management:  A BI professional should be able to design and manage databases, including data modeling, ETL processes, and data integration.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

They may also be involved in data modeling and database design. A degree in computer science, mathematics, statistics, or a related field is often preferred. Database management:  A BI professional should be able to design and manage databases, including data modeling, ETL processes, and data integration.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

MAY 17, 2023

Understand Databases: SQL is useful in handling structured data, query databases and prepare and experiment with data. Accordingly, SQL is deployed alongside Python and its libraries thus, requiring you to develop your skills in using SQL. It will help you work with large datasets better and more efficiently.

Data Scientist 52

Data Scientist Data Science Data Wrangling Python 52

Pickl AI

SEPTEMBER 12, 2023

After completing a Bachelor of Computer Applications (BCA) degree, many graduates find themselves at a crucial crossroads, eager to delve deeper into the world of information technology and computer science. They ensure data security, optimize database performance, and troubleshoot any issues that arise.

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Like their counterparts in the machine learning world, engineers need to know a variety of scripted languages such as SQL for database management, Scala, Java, and of course Python.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Pickl AI

MAY 29, 2024

By the end of this blog, you will feel empowered to explore the exciting world of Data Science and achieve your career goals. Programming Languages (Python, R, SQL) Proficiency in programming languages is crucial. SQL is indispensable for database management and querying.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52