Dataconomy

MARCH 5, 2025

Data science platforms are reshaping the landscape of how organizations harness data to drive insights and foster innovation. By providing a comprehensive ecosystem for data professionals, these platforms enhance the capabilities around machine learning, advanced analytics, and collaborative efforts.

Data Science 91

Data Science Data Scientist Machine Learning Machine Learning 91

Dataconomy

JUNE 13, 2025

Data virtualization refers to a method that creates a virtual representation of data, enabling access to information from multiple sources as if it were one cohesive unit. This approach eliminates the challenges of data replication, simplifies data interaction, and supports real-time analytics.

Data Visualization 91

Data Visualization Data Lakes Cloud Data Data Warehouse 91

databricks

JUNE 18, 2025

This is an important step forward because it gives LLMs the context they need to take actions in a more natural form.

AI 172

AI AI Data Science Artificial Intelligence 172

AWS Machine Learning Blog

JULY 11, 2025

Although we maintain pre-built Amazon QuickSight dashboards for commonly tracked metrics, business users frequently require support for long-tail analytics—the ability to conduct deep dives into specific problems, anomalies, or regional variations not covered by standard reports.

Business Intelligence 108

Business Intelligence Business Intelligence SQL AWS 108

Dataconomy

JUNE 19, 2025

Purpose and significance of dimensions Dimensions serve multiple purposes in data warehousing, making them invaluable: Facilitating analytical queries: Dimensions allow for meaningful exploration of data, enabling complex questions to be answered efficiently.

Data Warehouse 91

Data Warehouse Data Analysis Data Analysis Analytics 91

Dataconomy

JUNE 16, 2025

Structured data is a fundamental component in the world of data management and analytics, playing a crucial role in how we store, retrieve, and process information. By organizing data into a predetermined format, it enables efficient access and manipulation, forming the backbone of many applications across various industries.

Database 91

Database Data Lakes ETL Natural Language Processing 91

Dataconomy

JUNE 25, 2025

Essential skills of a data steward To fulfill their responsibilities effectively, data stewards should possess a blend of technical and interpersonal skills: Technical expertise: Knowledge of programming and data modeling is crucial. Regulatory compliance: Ensures adherence to data regulations, minimizing legal risks.

Data Governance 91

Data Governance Data Analyst Data Quality Data Scientist 91

Dataconomy

JUNE 30, 2025

This practice helps verify the reliability of data and minimizes the risk of errors. Data reformatting requirements Reformatting data as necessary ensures that it aligns properly with analytical tools and methodologies. Setting success criteria Establishing methodologies to evaluate data model effectiveness is vital.

Data Quality 91

Data Quality Machine Learning Machine Learning Cross Validation 91

Smart Data Collective

JULY 20, 2025

There are CIS graduates who just need to add machine learning and data modeling to their toolkit. Accept X By using this site, you agree to the Privacy Policy and Terms of Use. All Rights Reserved. It is helpful to start with Python and learn how to use libraries like TensorFlow or PyTorch. Followers Like 33.7k

Artificial Intelligence 102

Artificial Intelligence Artificial Intelligence Big Data Big Data 102

Pickl AI

JUNE 5, 2025

They are expected to be versatile, handling everything from data engineering and exploratory analysis to deploying machine learning models and communicating insights to business stakeholders. Validation techniques ensure models perform well on unseen data. Manufacturing: Industry 4.0 Salaries can exceed INR 35 LPA.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Pickl AI

NOVEMBER 22, 2024

By presenting data visually, organisations can communicate insights more clearly and drive strategic decisions based on real-time analytics. Reveals hidden patterns and trends within large volumes of data. Supports predictive analytics to anticipate market trends and behaviours.

Data Visualization 52

Data Visualization Big Data Big Data Power BI 52

Data Science Dojo

APRIL 7, 2025

This masking happens before the IP address is logged or stored, ensuring that even the raw data never contains personal information. For example, Google Analytics ha s a built-in feature that anonymizes IP addresses, helping businesses stay compliant with privacy laws while analyzing traffic patterns.

AI 195

AI AI Machine Learning Machine Learning 195

Flipboard

NOVEMBER 20, 2024

By combining the capabilities of LLM function calling and Pydantic data models, you can dynamically extract metadata from user queries. In this post, we explore an innovative approach that uses LLMs on Amazon Bedrock to intelligently extract metadata filters from natural language queries.

AWS 157

AWS Natural Language Processing Machine Learning Machine Learning 157

The Data Administration Newsletter

JULY 2, 2025

Taking immediate action on sensor data is vital in modern Internet of Things (IoT) systems. Real-time streaming serves as the fundamental structure of IoT analytics because it enables automated responses, predictive insights, and operational efficiency.

Internet of Things 52

Internet of Things Analytics Analytics Data Governance 52

Data Science Dojo

FEBRUARY 6, 2025

Explore 7 key prompting techniques to use for AI video generators Audio Annotation It refers to the process of tagging audio data such as speech segments, speaker identities, emotions, and background sounds. Below are a few reasons that make data annotation a critical component for language models.

AI 243

AI AI ML ML 243

Dataconomy

JANUARY 13, 2025

But over the past couple of years, even retail trading platforms have started to incorporate AI analytics to see if it could make individual traders successful. And thats where AI analytics comes in. Good data is the main factor in AI prediction. That will make your data do bad on new unvisible data.

AI 103

AI AI Algorithm Artificial Intelligence 103

AWS Machine Learning Blog

NOVEMBER 13, 2024

Project members consume assets from the Amazon DataZone catalog and produce new assets using one or more analytical workflows. In the notebook, we refer to the project ID as follows: project_id = "5rn1teh0tv85rb" Prepare a SageMaker model package group. Also, you can update the model’s deploy status.

ML 113

ML ML AWS Data Preparation 113

Pickl AI

MARCH 17, 2025

It covers creating measures and calculated columns, using aggregate functions, and applying time intelligence for advanced Data Analysis. Introduction In the world of Business Intelligence , Power BI is a leading tool for Data Analysis and visualization. It is essential for creating new insights from existing data models in Power BI.

Power BI 52

Power BI Data Analysis Data Analysis Data Modeling 52

Dataconomy

MARCH 17, 2025

Natural Language Query (NLQ) is changing the way we interact with data analytics by allowing users to speak or type their questions in a way that feels natural and intuitive. This user-friendly approach to data access resembles conversational interaction, making analytics more approachable for non-experts.

Natural Language Processing 91

Natural Language Processing Power BI Analytics Analytics 91

phData

JULY 24, 2025

This technique is lightweight, reusable, and works across most chart types and pivot tables, making it a best practice for building modular, user-driven analytics in Sigma. FAQs Can I use the same segmented control across multiple visuals?

Data Modeling 52

Data Modeling Data Models Analytics Analytics 52

ODSC - Open Data Science

APRIL 16, 2025

In a world of ever-evolving data tools and technologies, some approaches stand the test of time. Thats the case Dustin DorseyPrincipal Data Architect at Onyx makes for dimensional data modeling , a practice born in the 1990s that continues to provide clarity, performance, and scalability in modern data architecture.

Data Modeling 59

Data Modeling Data Models Analytics Analytics 59

Cambridge Intelligence

JUNE 23, 2025

You can prevent this by redesigning the data model, limiting expansion, grouping less important nodes, or even removing the central node entirely and indicating connections to it through glyphs or other styling. Always remember who you’re making the visualization for, and what they’ll need from it.

Data Visualization 52

Data Visualization Data Modeling Data Models Algorithm 52

AWS Machine Learning Blog

FEBRUARY 21, 2025

Thats why we use advanced technology and data analytics to streamline every step of the homeownership experience, from application to closing. Apache Hive was used to provide a tabular interface to data stored in HDFS, and to integrate with Apache Spark SQL. Apache HBase was employed to offer real-time key-based access to data.

Data Science 85

Data Science AWS Hadoop Data Scientist 85

Iguazio

JUNE 9, 2025

Developing automated CI/CD pipelines (for data, models, and apps) Finally, Live Operations: Automating deployment processes and rollbacks. Support for the full gen AI lifecycle: data, model tuning/eval, app build, LiveOps, and more. Optimizing performance, costs and supporting workload elasticity.

AI 52

AI AI Data Preparation Data Scientist 52

AWS Machine Learning Blog

JANUARY 27, 2025

def predict_fn(data, model): normalized = preprocess_image(data) with torch.no_grad(): mask_ratio = 0.5 _, pred, mask = model(normalized, mask_ratio=mask_ratio) mask_img = model.unpatchify(mask.unsqueeze(-1).repeat(1, repeat(1, 1, pred.shape[-1])).detach().cpu() cpu() pred_img = model.unpatchify(pred).detach().cpu()#.numpy()

AWS 109

AWS Deep Learning Deep Learning Machine Learning 109

Hacker News

JULY 1, 2025

I help businesses and public agencies improve their operations through industry-leading management analytics strategies. Looking for management or consulting type roles where my skillset can help technical teams operate better and help executive management take better decisions.

Python 56

Python AWS SQL ML 56

Pickl AI

JULY 10, 2025

Salary Range: ₹9–22 LPA (mid-level); ₹40+ LPA (with experience) Skills Required: Python, deep learning , algorithms, data modeling Top Sectors: Finance, healthcare, IT, automation Both Data Scientist and Machine Learning Engineer roles are among the Top 10 highest paying jobs in India, and they also lead the AI revolution.

Data Scientist 52

Data Scientist Machine Learning Machine Learning Data Science 52

The Data Administration Newsletter

JANUARY 1, 2025

Research has shown that many people learn best when they see a story or information depicted in an image. Graphs, charts with colors, lines and shapes can often tell a story and communicate issues, challenges and opportunities in a business environment.

Data Visualization 52

Data Visualization Data Modeling Data Models Business Intelligence 52

Dataconomy

APRIL 2, 2025

With Bitcoin surpassing $87,000 in March 2025, AI and data science have become essential tools in crypto trading, enabling the extraction of meaningful insights from complex market data. Also, AI can analyze real-time data and provide risk assessments on the minute. What does Bitcoin price forecast data models say?

Data Science 103

Data Science Natural Language Processing Machine Learning Machine Learning 103

Pickl AI

APRIL 22, 2025

Introduction A snowflake schema is a sophisticated data modeling technique used in data warehousing to efficiently organize and store large volumes of data. It is an extension of the star schema, designed to optimize storage, enhance data integrity, and support complex analytical queries.

Data Warehouse 52

Data Warehouse Data Modeling Data Models Analytics 52

Dataconomy

MARCH 20, 2025

It relies on the data warehouse for its information and ensures consistency across the organization. This type often benefits from comprehensive data governance and a unified data model. Independent data mart In contrast, an independent data mart operates on its own.

Data Warehouse 91

Data Warehouse ETL Data Quality Database 91

Pickl AI

MARCH 19, 2025

It helps data engineers collect, store, and process streams of records in a fault-tolerant way, making it crucial for building reliable data pipelines. Amazon Redshift Amazon Redshift is a cloud-based data warehouse that enables fast query execution for large datasets. Which cloud-based data engineering tools are most popular?

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

AWS Machine Learning Blog

MARCH 13, 2025

This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular.

AWS 118

AWS AI AI Machine Learning 118

Dataconomy

JULY 1, 2025

SAP BW stands as a pivotal tool for organizations seeking effective methods for data management and analytics. In an era where data-driven decision-making is critical for business success, SAP BW equips enterprises with the capabilities needed to optimize data storage, integration, and analysis.

Data Analysis 91

Data Analysis Data Analysis Database Analytics 91

Dataconomy

MARCH 19, 2025

Hadoop as a Service (HaaS) offers a compelling solution for organizations looking to leverage big data analytics without the complexities of managing on-premises infrastructure. As businesses increasingly turn to cloud computing, HaaS emerges as a vital option, providing flexibility and scalability in data processing and storage.

Hadoop 91

Hadoop Big Data Big Data Big Data Analytics 91

AWS Machine Learning Blog

MARCH 7, 2025

Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) with graph data in Amazon Neptune Analytics.

Analytics 123

Analytics Analytics AWS Natural Language Processing 123

Hacker News

JULY 1, 2025

Never-ending data requests – because no one can find (or trust) the right query, engineers and analytics teams still get pinged for “one more pull.” We’re hiring our first Data Engineer to play a pivotal role in designing and developing our next-generation data and analytics infrastructure from the ground up.

Python 78

Python AWS ML ML 78