Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Times change, technology improves and our lives get better.

Data Science 284

Data Science Natural Language Processing Deep Learning Deep Learning 284

Data Science Blog

NOVEMBER 15, 2023

The creation of this data model requires the data connection to the source system (e.g. SAP ERP), the extraction of the data and, above all, the data modeling for the event log. DATANOMIQ Data Mesh Cloud Architecture – This image is animated! Central data models in a cloud-based Data Mesh Architecture (e.g.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

ODSC - Open Data Science

FEBRUARY 2, 2023

Scale is worth knowing if you’re looking to branch into data engineering and working with big data more as it’s helpful for scaling applications. Cloud Services The only two to make multiple lists were Amazon Web Services (AWS) and Microsoft Azure.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

ODSC - Open Data Science

JUNE 7, 2023

Since data is left in its raw form within the data lake, it’s easier for data teams to experiment with models and analysis techniques with greater flexibility. So let’s take a look at a few of the leading industry examples of data lakes. Snowflake Snowflake is a cross-cloud platform that looks to break down data silos.

Data Lakes 52

Data Lakes Azure Hadoop Data Warehouse 52

ODSC - Open Data Science

FEBRUARY 17, 2023

Cloud Computing, APIs, and Data Engineering NLP experts don’t go straight into conducting sentiment analysis on their personal laptops. Data Engineering Platforms Spark is still the leader for data pipelines but other platforms are gaining ground. Google Cloud is starting to make a name for itself as well.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

ODSC - Open Data Science

APRIL 3, 2023

While a data analyst isn’t expected to know more nuanced skills like deep learning or NLP, a data analyst should know basic data science, machine learning algorithms, automation, and data mining as additional techniques to help further analytics. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst SQL 52

ODSC - Open Data Science

JANUARY 29, 2024

We also examined the results to gain a deeper understanding of why these prompt engineering skills and platforms are in demand for the role of Prompt Engineer, not to mention machine learning and data science roles.

Data Science 52

Data Science Machine Learning Machine Learning AI 52

phData

JULY 25, 2023

You can choose from Amazon Web Services (AWS), Microsoft Azure, GCP, Oracle Cloud, etcetera. Hiring Experts to Manage Your Platforms Another cost that often goes unnoticed when it comes to a data strategy is the cost of human resources. There are a lot of professional terms for people who manage data in 2023.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

phData

JULY 25, 2023

You can choose from Amazon Web Services (AWS), Microsoft Azure, GCP, Oracle Cloud, etcetera. Hiring Experts to Manage Your Platforms Another cost that often goes unnoticed when it comes to a data strategy is the cost of human resources. There are a lot of professional terms for people who manage data in 2023.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

AI 74

AI AI Machine Learning Machine Learning 74

Mlearning.ai

JUNE 16, 2023

How to use the Codex models to work with code - Azure OpenAI Service Codex is the model powering Github Copilot. GPT-4 Data Pipelines: Transform JSON to SQL Schema Instantly Blockstream’s public Bitcoin API. The data would be interesting to analyze. The article has good points with any LLM Use prompt to guide.

AI 52

AI AI Data Analysis Data Analysis 52

phData

JULY 18, 2023

Best Practices Delivery best practices in a Modern Data Stack environment include but are not limited to: CI/CD: Making the latest versions widely available and deploying the latest stable code to production continuously. Testing: Data engineering should be treated as a form of software engineering.

Data Warehouse 52

Data Warehouse SQL Analytics Analytics 52

The MLOps Blog

MARCH 21, 2023

Other users Some other users you may encounter include: Data engineers , if the data platform is not particularly separate from the ML platform. Analytics engineers and data analysts , if you need to integrate third-party business intelligence tools and the data platform, is not separate. Allegro.io

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69