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

Data Science Dojo

JULY 24, 2023

They allow data processing tasks to be distributed across multiple machines, enabling parallel processing and scalability. Its characteristics can be summarized as follows: Volume : Big Data involves datasets that are too large to be processed by traditional database management systems. databases), semi-structured data (e.g.,

Big Data 195

Big Data Big Data Data Engineering Data Engineer 195

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Data Science Dojo

OCTOBER 31, 2024

Top Employers Microsoft, Facebook, and consulting firms like Accenture are actively hiring in this field of remote data science jobs, with salaries generally ranging from $95,000 to $140,000. Advancing into Leadership For those interested in leadership, progressing to roles like Lead Data Scientist or Chief Data Officer is an option.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Dataconomy

APRIL 27, 2023

What is an online transaction processing database (OLTP)? OLTP is the backbone of modern data processing, a critical component in managing large volumes of transactions quickly and efficiently. This approach allows businesses to efficiently manage large amounts of data and leverage it to their advantage in a highly competitive market.

Database 159

Database Data Scientist Data Mining Data Mining 159

KDnuggets

JUNE 16, 2025

Here’s what makes it stand out: Agentic AI: Move and clean data between apps automatically, date formats, text extraction, and formatting handled for you. Workflow Automation: Connect any two apps or websites and automate tasks without integrations, perfect for auto filling forms, updating databases, or sending messages.

Data Science 303

Data Science Natural Language Processing AI AI 303

KDnuggets

JUNE 11, 2025

MCP servers are lightweight programs or APIs that expose real-world tools like databases, file systems, or web services to AI models. Big names like Hugging Face and Meta are now running hackathons where participants build MCP servers, clients, and plugins, showing just how hot this space is right now.

Natural Language Processing 193

Natural Language Processing Data Science Machine Learning Machine Learning 193

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. Thats where data engineering tools come in!

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Flipboard

JUNE 9, 2025

Email Report Generator Why its useful : If you regularly compile and send data reports via email, this automation can cut your workload substantially. What to build : Develop a script that pulls data from a source (spreadsheet, database, or API), generates a report, and emails it to a predefined list of recipients on a schedule.

Python 158

Python Natural Language Processing Data Science Machine Learning 158

Analytics Vidhya

MARCH 7, 2023

Introduction Apache Flume is a tool/service/data ingestion mechanism for gathering, aggregating, and delivering huge amounts of streaming data from diverse sources, such as log files, events, and so on, to centralized data storage. Flume is a tool that is very dependable, distributed, and customizable.

Analytics 315

Analytics Analytics Hadoop Data Engineer 315

Flipboard

JUNE 9, 2025

EPAM Thinks You Should Rethink Your Data Stack for AI Navigating the Future of Talent Skills in a Transforming Business Landscape Latest AI News Glean Raises $150M in Series F Round, Hits $7.2B Request Customised Reports & AIM Surveys for a study on topics of your interest.

AWS 72

AWS Data Engineering Data Engineer Data Engineering 72

KDnuggets

JUNE 12, 2025

Because it’s modular, you can easily extend it, maybe add a search bar using Streamlit, store chunks in a vector database like FAISS for smarter lookups, or even plug this into a chatbot. Examples of Articles Conclusion In this guide, you’ve learned how to build a flexible and powerful PDF processing pipeline using only open-source tools.

Data Science 266

Data Science Natural Language Processing Python Machine Learning 266

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 Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Data Science Blog

JUNE 27, 2023

In this representation, there is a separate store for events within the speed layer and another store for data loaded during batch processing. The serving layer acts as a mediator, enabling subsequent applications to access the data. This architectural concept relies on event streaming as the core element of data delivery.

Big Data 130

Big Data Big Data Apache Kafka Database 130

ODSC - Open Data Science

JANUARY 30, 2024

Data engineering is a hot topic in the AI industry right now. And as data’s complexity and volume grow, its importance across industries will only become more noticeable. But what exactly do data engineers do? So let’s do a quick overview of the job of data engineer, and maybe you might find a new interest.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

JANUARY 18, 2024

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Dataconomy

FEBRUARY 26, 2025

Prescriptive analytics is a branch of data analytics that focuses on advising on optimal future actions based on data analysis. It transcends merely describing past events and predicting future occurrences by providing actionable recommendations that guide decision-making processes in organizations.

Analytics 103

Analytics Analytics Predictive Analytics Data Analysis 103

ODSC - Open Data Science

MAY 5, 2023

Data science and data engineering are incredibly resource intensive. Between accessing databases, using frameworks, using applications, and more, a lot of power is needed to run even the simplest algorithms. As such, here are a few data engineering and data science cloud options to make your life easier.

Data Science 52

Data Science Data Engineering Data Engineer Data Engineering 52

Mlearning.ai

MAY 16, 2023

Data engineering is a rapidly growing field that designs and develops systems that process and manage large amounts of data. There are various architectural design patterns in data engineering that are used to solve different data-related problems.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

FEBRUARY 15, 2024

We couldn’t be more excited to announce the first sessions for our second annual Data Engineering Summit , co-located with ODSC East this April. Join us for 2 days of talks and panels from leading experts and data engineering pioneers. Is Gen AI A Data Engineering or Software Engineering Problem?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

IBM Data Science in Practice

MARCH 8, 2023

Additionally, imagine being a practitioner, such as a data scientist, data engineer, or machine learning engineer, who will have the daunting task of learning how to use a multitude of different tools. In the event of a problematic AI model, it can be challenging to determine the root cause.

Machine Learning 264

Machine Learning Machine Learning ML ML 264

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

AWS Machine Learning Blog

APRIL 18, 2025

This feature chunks and converts input data into embeddings using your chosen Amazon Bedrock model and stores everything in the backend vector database. On the Vector database pane, select Quick create a new vector store and choose the new Amazon OpenSearch Serverless option as the vector store.

Apache Kafka 84

Apache Kafka AWS Clustering Database 84

AWS Machine Learning Blog

JUNE 20, 2024

Imperva Cloud WAF protects hundreds of thousands of websites against cyber threats and blocks billions of security events every day. Counters and insights based on security events are calculated daily and used by users from multiple departments. Applications use different UI components to allow users to filter and query the data.

SQL 113

SQL Database AWS Machine Learning 113

ODSC - Open Data Science

APRIL 25, 2025

EvolvabilityIts Mostly About Data Contracts Editors note: Elliott Cordo is a speaker for ODSC East this May 1315! Be sure to check out his talk, Enabling Evolutionary Architecture in Data Engineering , there to learn about data contracts and plentymore.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

AWS Machine Learning Blog

MARCH 5, 2025

Or was the database password for the central subscription service rotated again? By searching for patterns, errors, or anomalies, as well as comparing the trend to the previous period, it helps the agent pinpoint issues related to specific events, such as failed authentications or system crashes. Did an internal TLS certificate expire?

AWS 111

AWS AI AI Machine Learning 111

Flipboard

JUNE 9, 2025

At one IndiaAI event, IT minister Ashwini Vaishnaw declared, “The entire ecosystem is being built right now in AI, and the IT industry should capture this transition as an opportunity.” Notably, all are young tech ventures, with no presence from established giants like Infosys, TCS or Wipro.

AI 65

AI AI AWS Data Engineering 65

phData

NOVEMBER 6, 2023

In other words, LLMs are not dynamic but rather static in nature, which prevents them from answering questions about recent events or information. This is done by creating a store of relevant knowledge, usually in the form of embeddings in a vector database, to supplement additional context for the LLM to consider when formulating a response.

Database 98

Database AI AI Artificial Intelligence 98

ODSC - Open Data Science

DECEMBER 5, 2024

Navigating the Complex World of Financial Data Engineering Here’s an exploration of a recent podcast, which provides a roadmap for understanding the challenges, opportunities, and future of financial data engineering. Announcing ODSC East 2025 — The 10th Anniversary of the Best AI Builders Event Around!

Data Engineering 40

Data Engineering Data Engineer Data Engineering Data Engineering 40

AWS Machine Learning Blog

NOVEMBER 26, 2024

Datadog is a monitoring service for cloud-scale applications, bringing together data from servers, databases, tools and services to present a unified view of your entire stack. This customizable and scalable solution allows its ML models to be efficiently deployed and managed to meet diverse project requirements.

AWS 117

AWS ML ML Data Scientist 117

Flipboard

APRIL 21, 2025

Ragas can be used to evaluate the performance of an information retriever (the component that retrieves relevant information from a database) using metrics like context precision and recall. Kai Zhu, currently works as Cloud Support Engineer at AWS, helping customers with issues in AI/ML related services like SageMaker, Bedrock, etc.

AWS 146

AWS AI AI Machine Learning 146

AWS Machine Learning Blog

DECEMBER 15, 2023

Amazon DocumentDB is a fully managed native JSON document database that makes it straightforward and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. You encounter bottlenecks because you need to rely on data engineering and data science teams to accomplish these goals.

Machine Learning 119

Machine Learning Machine Learning AWS ML 119

phData

MAY 31, 2023

This example assumes an architecture with your CRM, like Salesforce or HubSpot, as the source of your incoming sales leads and customer data. This data is being ingested into the Snowflake Data Cloud using Fivetran , and the data engineering has been done leveraging dbt.

Data Engineering 98

Data Engineering Data Engineer Data Engineering Data Engineering 98

AWS Machine Learning Blog

DECEMBER 18, 2023

In this post, we will explore the potential of using MongoDB’s time series data and SageMaker Canvas as a comprehensive solution. MongoDB Atlas MongoDB Atlas is a fully managed developer data platform that simplifies the deployment and scaling of MongoDB databases in the cloud. Setup the Database access and Network access.

Clustering 122

Clustering AWS Database ML 122

Flipboard

MARCH 31, 2025

Flows CrewAI Flows provide a structured, event-driven framework to orchestrate complex, multi-step AI automations seamlessly. These tools allow agents to interact with APIs, access databases, execute scripts, analyze data, and even communicate with other external systems.

AWS 177

AWS AI AI Natural Language Processing 177

Tableau

DECEMBER 1, 2021

Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. Release v1.0 April 2005) is in the top left corner.

Tableau 145

Tableau ML ML Database 145

ODSC - Open Data Science

SEPTEMBER 25, 2023

However, the majority of enterprise data remains unleveraged from an analytics and machine learning perspective, and much of the most valuable information remains in relational database schemas such as OLAP. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Data Preparation 104

Data Preparation Machine Learning Machine Learning ML 104