Analytics Vidhya

JANUARY 31, 2023

Introduction Big data is revolutionizing the healthcare industry and changing how we think about patient care. In this case, big data refers to the vast amounts of data generated by healthcare systems and patients, including electronic health records, claims data, and patient-generated data.

Big Data 319

Big Data Management Analytics 319

Analytics Vidhya

AUGUST 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction HBase is a column-oriented non-relational database management system that operates on Hadoop Distributed File System (HDFS). HBase provides a fault-tolerant manner of storing sparse data sets, which are prevalent in several big data use cases.

Big Data 360

Big Data Data Science Publishing Data Processing 360

Analytics Vidhya

JUNE 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction Big Data is everywhere, and it continues to be a gearing-up topic these days. And Data Ingestion is a process that assists a group or management to make sense of the ever-increasing volume and complexity of data and provide useful insights.

Big Data 354

Big Data Data Science Publishing Management 354

DataKitchen

DECEMBER 9, 2024

A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. data engineers delivered over 100 lines of code and 1.5

Data Quality 164

Data Quality Data Lake Testing Statistics 164

Analytics Vidhya

SEPTEMBER 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the Big Data space, companies like Amazon, Twitter, Facebook, Google, etc., collect terabytes and petabytes of user data that must be handled efficiently.

Big Data 348

Big Data Data Science Publishing Optimization 348

Analytics Vidhya

APRIL 1, 2023

Introduction Google Big Query is a secure, accessible, fully-manage, pay-as-you-go, server-less, multi-cloud data warehouse Platform as a Service (PaaS) service provided by Google Cloud Platform that helps to generate useful insights from big data that will help business stakeholders in effective decision-making.

Data Warehouse 306

Data Warehouse Machine Learning Big Data Management 306

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management. Its code generation architecture uses a visual interface to create Java or SQL code.

Management 324

Management Data Warehouse Data Quality Data Integration 324

Analytics Vidhya

AUGUST 30, 2022

This article was published as a part of the Data Science Blogathon. terabytes of data to manage. Whether you’re a small company or a trillion-dollar giant, data makes the decision. But as data ecosystems become more complex, it’s important to have the right tools for the […].

Big Data 336

Big Data Data Science Publishing Management 336

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

Analytics Vidhya

JULY 10, 2024

Introduction Excel’s LOOKUP capabilities are essential tools for data analysis because they let users quickly find and retrieve data from big databases. These functions boost productivity for various tasks, from straightforward lookups to intricate data management. What are LOOKUP Functions in Excel?

Management 304

Management Analytics 304

Analytics Vidhya

MARCH 1, 2023

Introduction Cassandra is an Apache-developed free and open-source distributed NoSQL database management system. It manages huge volumes of data across many commodity servers, ensures fault tolerance with the swift transfer of data, and provides high availability with no single point of failure.

Big Data 317

Big Data Modeling Management Analytics 317

O'Reilly on Data

JANUARY 21, 2025

Having received the relevant details, the structured workflow queries backend data to determine the issue: Were items shipped separately? But the truth is that structured automation simplifies edge-case management by making LLM improvisation safe and measurable. Are they still in transit? Were they out of stock?

Cost-Benefit 293

Cost-Benefit Testing Interactive Software 293

David Menninger's Analyst Perspectives

JANUARY 15, 2021

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

IT 306

IT Data Architecture Big Data Data Processing 306

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 304

Testing Machine Learning Consulting Data Science 304

datapine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. At present, around 2.7

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction YARN stands for Yet Another Resource Negotiator, a large-scale distributed data operating system used for Big Data Analytics. Apart from resource management, […].

Big Data 271

Big Data Data Science Publishing Data Analytics 271

Analytics Vidhya

MARCH 28, 2024

Introduction In the fast changing world of big data processing and analytics, the potential management of extensive datasets serves as a foundational pillar for companies for making informed decisions. It helps them to extract useful insights from their data.

Big Data 290

Big Data Data Processing Management Analytics 290

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

DECEMBER 10, 2024

Thats a lot easier, but its a textbook example, so whatever the result, Id never know whether QwQ reasoned correctly or if it just managed to parrot something from its training set. There are more than a few math textbooks online, and its fair to assume that all of them are in the training data. So lets go! What else can we learn?

Testing 255

Testing Modeling Software IT 255

CIO Business Intelligence

JANUARY 7, 2025

Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. CIOs must also drive knowledge management, training, and change management programs to help employees adapt to AI-enabled workflows.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

CIO Business Intelligence

OCTOBER 30, 2024

Bhimani: There are three big components for me in this definition. We tend to focus a lot on the harm side, but expanding benefits is a big part of the ethical AI piece. In the past, the focus was on keeping the lights on, managing infrastructure, ensuring stability of systems, or just ensuring that integration is happening.

Technology 131

Technology Strategy Risk IT 131

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Infor offers applications for enterprise resource planning, supply chain management, customer relationship management and human capital management, among others. And its GenAI knowledge hub uses retrieval-augmented generation to provide immediate access to knowledge, potentially from multiple data sources.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

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

CIO Business Intelligence

NOVEMBER 26, 2024

Data is the lifeblood of the modern insurance business. It is the central ingredient needed to drive underwriting processes, determine accurate pricing, manage claims, and drive customer engagement. The fact is, even the world’s most powerful large language models (LLMs) are only as good as the data foundations on which they are built.

Insurance 131

Insurance Data-driven Data Architecture Technology 131

CIO Business Intelligence

DECEMBER 19, 2024

Conversations and subscriptions A per-conversation model seems to be an emerging approach, says Sesh Iyer, managing director, senior partner, and North America regional chair at BCG X, Boston Consulting Groups IT building and designing group. Vendors could also charge a small price per audio input or output.

Cost-Benefit 128

Cost-Benefit Modeling ROI Marketing 128

CIO Business Intelligence

NOVEMBER 14, 2024

Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. Data is the heart of our business, and its centralization has been fundamental for the group,” says Emmelibri CIO Luca Paleari.

ROI 119

ROI B2B Business Objectives Digital Transformation 119

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

datapine

MAY 28, 2019

BI projects aren’t just for the big fishes in the sea anymore; the technology has developed rapidly, the software has become more accessible while business intelligence and analytics projects implemented in various industries regularly, no matter the shape and size, small businesses or large enterprises.

Business Intelligence 317

Business Intelligence KPI Dashboards Reporting 317

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

CIO Business Intelligence

FEBRUARY 20, 2025

Outdated software applications are creating roadblocks to AI adoption at many organizations, with limited data retention capabilities a central culprit, IT experts say. The data retention issue is a big challenge because internally collected data drives many AI initiatives, Klingbeil says.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

AWS Big Data

DECEMBER 20, 2024

Amazon Q data integration , introduced in January 2024, allows you to use natural language to author extract, transform, load (ETL) jobs and operations in AWS Glue specific data abstraction DynamicFrame. The DataFrame code generation now extends beyond AWS Glue DynamicFrame to support a broader range of data processing scenarios.

Data Integration 105

Data Integration Visualization Data Processing Big Data 105

CIO Business Intelligence

JANUARY 14, 2025

CIOs must enable and rally around big strategic bets while democratizing generative AI across their teams. No small group can envision all the ways generative AI can transform daily work for every individual team/function, but they could provide input on the big strategic bets that you want to dedicate time and resources toward.

Strategy 141

Strategy ROI Experimentation Risk 141

DataKitchen

DECEMBER 7, 2021

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

CIO Business Intelligence

NOVEMBER 15, 2024

Everybody is worried not just that they will be exposing their data, or that their data is going to be misused, but also what then that means for their reputation, for their revenue streams,” he said. “If IDC research reveals that security is the number one concern in any sector, be it the enterprise, academia, or government.

Risk 119

Risk Risk Management Strategy Reporting 119