DataKitchen

NOVEMBER 5, 2024

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. By systematically moving data through these layers, the Medallion architecture enhances the data structure in a data lakehouse environment.

Data Quality 198

Data Quality Testing Metrics Reporting 198

Analytics Vidhya

DECEMBER 17, 2024

What sets Phi-4 apart from its predecessors and other models is its innovative approach to […] The post Phi-4: Redefining Language Models with Synthetic Data appeared first on Analytics Vidhya. One such breakthrough in AI is Phi-4, a 14-billion parameter model developed by Microsoft Research.

Modeling 208

Modeling Analytics IT 208

Analytics Vidhya

NOVEMBER 28, 2024

In today’s data-driven world, organizations rely on data analysts to interpret complex datasets, uncover actionable insights, and drive decision-making. Enter the Data Analysis Agent, to automate analytical tasks, execute code, and adaptively respond to data queries.

Data-driven 208

Data-driven Analytics 208

DataKitchen

MARCH 20, 2025

Unlocking Data Team Success: Are You Process-Centric or Data-Centric? Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We want to share our observations about data teams, how they work and think, and their challenges.

Data Quality 164

Data Quality Testing Metrics Management 164

Analytics Vidhya

JANUARY 8, 2025

A large number of high-level decisions and subsequent actions are based on the data analysis modern economies cannot exist without. Regardless of whether you are yet to get your first Data Analyst Interview Questions or you are keen on revising your skills in the job market, the process of learning can be rather challenging.

Marketing 208

Marketing Analytics 208

Analytics Vidhya

DECEMBER 30, 2024

What will data engineering look like in 2025? How will generative AI shape the tools and processes Data Engineers rely on today? As the field evolves, Data Engineers are stepping into a future where innovation and efficiency take center stage.

Management 207

Management Analytics 207

Analytics Vidhya

APRIL 22, 2025

Data preprocessing remains crucial for machine learning success, yet real-world datasets often contain errors. Data preprocessing using Cleanlab provides an efficient solution, leveraging its Python package to implement confident learning algorithms. appeared first on Analytics Vidhya.

Machine Learning 161

Machine Learning Statistics Analytics IT 161

CIO Business Intelligence

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Curate the data.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

DataKitchen

FEBRUARY 20, 2025

Announcing DataOps Data Quality TestGen 3.0: Open-Source, Generative Data Quality Software. It assesses your data, deploys production testing, monitors progress, and helps you build a constituency within your company for lasting change. Imagine an open-source tool thats free to download but requires minimal time and effort.

Data Quality 187

Data Quality Scorecard Testing Dashboards 187

CIO Business Intelligence

DECEMBER 12, 2024

Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. Theres a perspective that well just throw a bunch of data at the AI, and itll solve all of our problems, he says.

IT 134

IT Data Quality Experimentation Machine Learning 134

CIO Business Intelligence

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

CIO Business Intelligence

DECEMBER 11, 2024

In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth.

Management 111

Management Data Governance Data Science Reporting 111

AWS Big Data

OCTOBER 30, 2024

This is part two of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to load data from a legacy database (SQL Server) into a transactional data lake ( Apache Iceberg ) using AWS Glue. Data types from the source are mapped to an Iceberg data type.

Data Lake 105

Data Lake Data Processing Optimization Machine Learning 105

David Menninger's Analyst Perspectives

JANUARY 15, 2025

One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. Until recently, it was adequate for organizations to regard external data as a nice to have item, but that is no longer the case.

Predictive Modeling 130

Predictive Modeling Forecasting Predictive Analytics Statistics 130

Analytics Vidhya

JANUARY 21, 2025

In the world of data science, efficiency is paramount. If youve ever found yourself waiting endlessly for Pandas to […] The post Say Goodbye to Slow Data: FireDucks is 125x Faster Than Pandas appeared first on Analytics Vidhya. Are you tired of staring at your screen, waiting for your Pandas code to process a large dataset?

Data Science 207

Data Science Analytics 207

Analytics Vidhya

JUNE 23, 2024

Introduction Data Science deals with finding patterns in a large collection of data. For that, we need to compare, sort, and cluster various data points within the unstructured data. Similarity and dissimilarity measures are crucial in data science, to compare and quantify how similar the data points are.

Measurement 349

Measurement Data Science Unstructured Data Analytics 349

Analytics Vidhya

JANUARY 3, 2025

You have heard the famous quote “Data is the new Oil” by British mathematician Clive Humby it is the most influential quote that describes the importance of data in the 21st century but, after the explosive development of the Large Language Model and its training what we don’t have right is the data.

Modeling 224

Modeling Analytics IT 224

Analytics Vidhya

APRIL 4, 2025

Until recently, training AI for Minecraft needed lots of human data and custom […] The post Google’s DeepMind Masters Minecraft Without Human Data appeared first on Analytics Vidhya. It is a game where players explore, mine, build, and craft with the goal of finding rare diamonds.

Analytics 171

Analytics IT 171

TDAN

NOVEMBER 20, 2024

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Key Examples of Data Quality Failures — […]

Data Quality 122

Data Quality Management Data Governance 122

CIO Business Intelligence

APRIL 24, 2025

Enterprises worldwide are harboring massive amounts of data. Although data has always accumulated naturally, the result of ever-growing consumer and business activity, data growth is expanding exponentially, opening opportunities for organizations to monetize unprecedented amounts of information.

Data-driven 134

Data-driven Marketing Risk Sales 134

Analytics Vidhya

JULY 11, 2024

Introduction Data science is one of the professions in high demand nowadays due to the growing focus on analyzing big data. Hypothesis and conclusion-making from data broadly involve technical and non-technical skills in the interdisciplinary field of data science.

Data Science 352

Data Science Big Data Analytics 352

Analytics Vidhya

JULY 18, 2024

Hackathons are now the new way for companies to find the best data professionals. But it’s not just about bragging rights. […] The post Top 18 Companies Hiring Data Professionals through Hackathons appeared first on Analytics Vidhya.

Analytics 364

Analytics IT Data Science 364

Analytics Vidhya

JULY 21, 2024

Introduction In data science, having the ability to derive meaningful insights from data is a crucial skill. A fundamental understanding of statistical tests is necessary to derive insights from any data.

Statistics 350

Statistics Testing Data Science Optimization 350

AWS Big Data

APRIL 8, 2025

In modern data architectures, Apache Iceberg has emerged as a popular table format for data lakes, offering key features including ACID transactions and concurrent write support. Consider a common scenario: A streaming pipeline continuously writes data to an Iceberg table while scheduled maintenance jobs perform compaction operations.

Snapshot 138

Snapshot Management Metadata Big Data 138

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

Analytics Vidhya

JULY 14, 2024

Introduction Data science’s abilities are so versatile that they open up various job alternatives. Thus, in the rapidly developing field of data science, such […] The post Top 10 Data Science Alternative Career Paths appeared first on Analytics Vidhya.

Data Science 336

Data Science Business Analysis Management Analytics 336

Analytics Vidhya

MARCH 14, 2024

Introduction The role of statistics in the dynamic field of data science is foundational, acting as the critical toolset for analyzing and making sense of the vast data landscapes of today. This guide aims to […] The post 9 Best Statistics Books for Data Science in 2024 appeared first on Analytics Vidhya.

Statistics 397

Statistics Data Science Analytics 397

CIO Business Intelligence

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise. Take, for example, a recent case with one of our clients.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

CIO Business Intelligence

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

David Menninger's Analyst Perspectives

JANUARY 21, 2025

Despite all the interest in artificial intelligence (AI) and generative AI (GenAI), ISGs Buyers Guide for Data Platforms serves as a reminder of the ongoing importance of product experience functionality to address adaptability, manageability, reliability and usability. This is especially true for mission-critical workloads.

Data Lake 130

Data Lake IoT Cost-Benefit Enterprise 130