DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

Analytics Vidhya

FEBRUARY 6, 2023

Introduction The demand for data to feed machine learning models, data science research, and time-sensitive insights is higher than ever thus, processing the data becomes complex. To make these processes efficient, data pipelines are necessary. appeared first on Analytics Vidhya.

Machine Learning 250

Machine Learning Data Science Modeling Analytics 250

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this blog, we will explore one interesting aspect of the pandas read_csv function, the Python Iterator parameter, which can be used to read relatively large input data.

Data Science 254

Data Science Publishing Analytics 254

Jet Global

JUNE 22, 2023

Blogs Podcasts Whitepapers and Guides Tools and Calculators Webinars Sample Reports The Evolution of the CFO into the Chief Data Storyteller View Insight Now Our Favorite CFO Blogs The Venture CFO Blog Link: [link] Are you looking for blog posts for CFOs by CFOs? Then you have come to the right place.

KPI 105

KPI Finance Dashboards Digital Transformation 105

Analytics Vidhya

MAY 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. In this blog post, we will learn how to pull data. The post How to use APIs to gather data and conduct data analysis (Google and IBB API) appeared first on Analytics Vidhya.

Data Science 307

Data Science Publishing Analytics Data mining 307

DataKitchen

MARCH 12, 2024

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Data errors can cause compliance risks.

Metrics 120

Metrics Software Cost-Benefit Testing 120

Analytics Vidhya

MAY 31, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hello Readers!! In this blog, we are going to discuss. Analyze World Happiness Data Using Python appeared first on Analytics Vidhya. The post Are Indians Happy?

Data Science 155

Data Science Publishing Analytics Structured Data 155

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a discussion of a data mesh implementation in the pharmaceutical space.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

Data Science 101

JANUARY 8, 2021

The Data Science 101 blog was started almost 9 years ago and the goal was to collect useful information for people looking to break into data science. It did that well, but now there are many other resources for learning data science. The blog address has moved from 101.datascience.community Email*: Sign Up.

Data Science 91

Data Science IT 91

KDnuggets

JANUARY 17, 2022

The December blogs that won KDnuggets Rewards include: Write Clean Python Code Using Pipes; Building a solid data team; How to Get Certified as a Data Scientist; 3 Tools to Track and Visualize the Execution of Your Python Code; and more.

Visualization 71

Visualization 71

Jet Global

APRIL 17, 2020

In a world run on data, ERP technologies matter more than ever. Fortunately, a robust community of experts, insiders, and thought leaders blogs regularly about the issues and ideas most important to everyone using an ERP system. ERP Software Blog. Ultra Consultants ERP Blog. Panorama’s 360 ERP Blog.

Digital Transformation 94

Digital Transformation Consulting Software Manufacturing 94

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights.

Data Lake 100

Data Lake Metadata Snapshot Recreation/Entertainment 100

Smart Data Collective

JANUARY 20, 2020

It goes without saying that blogging has slowly and steadily evolved into an indispensable marketing tool. While marketers have been continually using the best possible strategies to improve the existing global blogging landscape, the inclusion of artificial intelligence has taken the ballgame to a whole different level.

Deep Learning 98

Deep Learning ROI Data-driven Marketing 98

Aryng

MARCH 8, 2024

Because of their unprecedented ability to sift through vast amounts of data and generate instant and easy-to-understand insights, Large Language Models (LLMs) like these enable even non-technical business leaders to partake in more seamless and […] The post How to Use LLMs to Make Data-Driven Decisions appeared first on Aryng's Blog.

Data-driven 52

Data-driven Modeling 52

KDnuggets

DECEMBER 7, 2023

This blog post explores NotebookLM, its functionality, limitations, and advanced features essential for researchers and scientists.

Data Science 121

Data Science IT 121

AWS Big Data

APRIL 4, 2024

Many enterprises are migrating their on-premises data stores to the AWS Cloud. During data migration, a key requirement is to validate all the data that has been moved from source to target. This data validation is a critical step, and if not done correctly, may result in the failure of the entire project.

Data Quality 61

Data Quality Data Lake Data Warehouse Data-driven 61

Analytics Vidhya

FEBRUARY 10, 2024

Introduction Data Science is everywhere in the 21st century and has emerged as an innovative field. But what exactly is Data Science? This blog post aims to answer these questions and more. And why should one consider specializing in it?

Data Science 312

Data Science Analytics IT Machine Learning 312

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 96

Data Warehouse Testing Data Lake Data-driven 96

AWS Big Data

NOVEMBER 22, 2023

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams.

Statistics 99

Statistics Data Lake Optimization Data-driven 99

AWS Big Data

MARCH 2, 2023

It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. AWS Glue 3.0

Data Lake 116

Data Lake Data Processing Metadata Snapshot 116

BA Learnings

JANUARY 2, 2023

Data and analytics can provide invaluable insights into how your business is performing. Experts like Mark Stiffler say that leveraging data and analytics can uncover new growth opportunities, strengthen existing processes, and increase your overall efficiency.

Data Analytics 130

Data Analytics Analytics Metrics Testing 130

Jet Global

MAY 5, 2019

Its data visualizations provide easily digestible insights into your business via robust, interactive dashboards. We’re lovers of all things data, and blogs about Power BI are no exception. Our Top 10 Power BI Blog Recommendations. Prathy’s Blog. Chris Webb’s BI Blog. Data Chant. by contacting us.

Visualization 81

Visualization Dashboards Business Intelligence Interactive 81

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 111

Analytics IoT Data-driven Snapshot 111

CIO Business Intelligence

FEBRUARY 24, 2023

Enterprises worldwide are not tapping the potential of their data when making critical business decisions and navigating uncertain macroeconomic conditions, according to a Salesforce survey. Just 21% of the survey respondents said they are using data to make decisions about their company’s diversity goals.

Enterprise 105

Enterprise Uncertainty Visualization Software 105

Analytics Vidhya

FEBRUARY 7, 2024

Introduction Scatter plots are a powerful tool in a data scientist’s arsenal, allowing us to visualize the relationship between two variables. This blog will explore the ins and outs of creating stunning scatter Plot Visualization in Python using matplotlib.

Visualization 253

Visualization Analytics Deep Learning Machine Learning 253

Jet Global

DECEMBER 12, 2019

Its data visualizations provide easily digestible insights into your business via robust, interactive dashboards. We’re lovers of all things data, and blogs about Power BI are no exception. Our Top 10 Power BI Blog Recommendations. Brett Powell’s Data & Analytics Blog. Chris Webb’s BI Blog.

Visualization 59

Visualization Dashboards Interactive Consulting 59

Cloudera

SEPTEMBER 22, 2022

We’ve previously highlighted opportunities to improve digital claims processing with data and AI. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step one: gather the data. Utilizing a variety of data sources creates a more accurate picture of risks.

Analytics 97

Analytics Insurance IoT Risk 97

Analytics Vidhya

FEBRUARY 2, 2024

It’s a versatile tool used in various applications, from scientific computing to data analysis and data visualization. In this blog, we’ll explore the ins and outs of numpy.linspace() and how you […] The post What is numpy.linspace() in Python?

Visualization 256

Visualization Analytics IT 256

Ontotext

DECEMBER 16, 2020

At the end of an unconventional year, we at Ontotext still want to honor our tradition and provide our readers with a round-up of the most popular posts on our blog. In its third generation, Ontotext Platform enables organizations to build, use and evolve knowledge graphs as a hub for data, metadata and content.

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52

Analytics Vidhya

FEBRUARY 5, 2024

Introduction Python dictionaries are a powerful data structure that allows you to store key-value pairs. In this blog, we will explore 4 ways to remove a key from a dictionary in Python. However, there are times when you need to remove a key from a dictionary.

Analytics 264

Analytics 264

Analytics Vidhya

JANUARY 8, 2024

It is a versatile function used in various scenarios, from simple arithmetic to complex mathematical operations. This blog will explore the various applications of numpy.arange() and how it can be leveraged to streamline your data […] The post Know All About numpy.arange() in Python appeared first on Analytics Vidhya.

Analytics 279

Analytics IT Machine Learning Data Science 279

erwin

DECEMBER 19, 2019

Data has been the driving force of the decade. Many organizations have tried and failed to become truly “data-driven,” and many organizations will continue to do so. Many organizations have tried and failed to become truly “data-driven,” and many organizations will continue to do so.

Metadata 75

Metadata Data Governance Management Digital Transformation 75

Ontotext

DECEMBER 30, 2019

In 2019 we have published many engaging blog posts on various topics and now, at the end of this exciting year, we have analyzed your interest in them and would like to present the top 5 most fascinating blog posts for 2019. Here’s our countdown: It Takes Two to Tango: Knowledge Graphs and Text Analysis.

Knowledge Discovery 52

Knowledge Discovery Publishing Technology Enterprise 52

Smart Data Collective

NOVEMBER 12, 2021

While I understand that selling products, cutting costs and delivering brand strategy is important for long term business results, the lack of priority in using data troubles me. Data is really the only way to get a 360-degree view of your customer and how they behave online. Data-informed buyer persona.

Marketing 130

Marketing Advertising Data-driven Strategy 130

Ontotext

FEBRUARY 12, 2024

Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Enterprises should identify and adopt specific data mesh elements to achieve velocity.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

Octopai

JANUARY 31, 2021

Data lineage is an essential tool that among other benefits, can transform insights, help BI teams understand the root cause of an issue, as well as help achieve and maintain compliance. Through the use of data lineage, companies can better understand their data and its journey. Data Engineering Podcast.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57