Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction A key aspect of big data is data frames. However, Spark is more suited to handling scaled distributed data, whereas Pandas is not. Pandas and Spark are two of the most popular types. What […].

Big Data 336

Big Data Data Science Publishing Analytics 336

Smart Data Collective

JUNE 7, 2019

This is where real-time stream processing enters the picture, and it may probably change everything you know about big data. Read this article as we’ll tackle what big data and stream processing are. We’ll also deal with how big data stream processing can help new emerging markets in the world.

Big Data 81

Big Data Marketing Cost-Benefit Unstructured Data 81

IBM Big Data Hub

APRIL 25, 2023

We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

FineReport

JULY 1, 2021

Therefore, the technical requirements for analyzing data are constantly increasing. This article will systematically introduce the definition of BI technology, the technology list and provide technology examples and tool recommendations. Data warehouse. Data querying & discovery. BI Technology Meaning.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting. It consists of historical and commutative data from single or multiple sources.

Data Warehouse 313

Data Warehouse Forecasting Big Data Data Science 313

TDAN

MARCH 17, 2020

The O*NET Data Collection Program, which is sponsored by the U.S. Department of Labor, is seeking the input of expert Data Warehousing Specialists. O*NET is the nation’s primary source […].

Data Warehouse 52

Data Warehouse Data Collection Business Intelligence Big Data 52

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Sisense

JANUARY 1, 2020

5 Advantages of Using a Redshift Data Warehouse. Whatever business you’re in, your company is becoming a data company. That means you need to put all that data somewhere. Chances are it’s in a data warehouse, and even better money says it’s an AWS data warehouse. Read on to learn more.

Analytics 98

Analytics Digital Transformation Data Warehouse Dashboards 98

Smart Data Collective

MARCH 30, 2022

Azure Data Lake Storage Gen2 is based on Azure Blob storage and offers a suite of big data analytics features. If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses. Determine your preparedness.

Data Lake 101

Data Lake Cost-Benefit Data Warehouse Big Data 101

Data Virtualization

OCTOBER 22, 2021

Since its first incarnation almost 35 years ago in my IBM Systems Journal article, the data warehouse (DW) has remained a key architectural pattern for decision-making support. The post Weaving Architectural Patterns: I – Data Fabric appeared first on Data Virtualization blog.

Data Warehouse 52

Data Warehouse Reporting IT Metadata 52

Data Virtualization

OCTOBER 21, 2021

Since its first incarnation almost 35 years ago in my IBM Systems Journal article, the data warehouse (DW) has remained a key architectural pattern for decision-making support. The post Weaving Architectural Patterns: I – Data Fabric appeared first on Data Virtualization blog.

Data Warehouse 52

Data Warehouse Reporting IT Metadata 52

Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Data Mining is an important research process.

Data mining 143

Data mining Data Science Informatics Statistics 143

Analytics Vidhya

DECEMBER 23, 2022

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction In today’s digital world, data is generated at a swift pace. Data in itself is not useful unless we present it in a meaningful way and derive insights that help in making key business decisions.

Visualization 231

Visualization Business Intelligence Data Science Publishing 231

Sisense

APRIL 2, 2020

How to Choose a Database to Solve Your Data Challenges. There’s more to life on the data team than just SQL. A wide variety of modern databases have arisen to tackle the challenges of Big Data, taking a variety of forms, each suited for different kinds of data and tasks.

Data Warehouse 83

Data Warehouse Big Data Testing Software 83

Analytics Vidhya

JUNE 28, 2022

This article was published as a part of the Data Science Blogathon. “Preponderance data opens doorways to complex and Avant analytics.” ” Introduction to SQL Queries Data is the premium product of the 21st century.

Data Science 224

Data Science Publishing Enterprise Analytics 224

Data Virtualization

DECEMBER 15, 2022

Despite modern advancements such as big data technologies and cloud, data often ends up in organized silos, but this means that cloud data is separated from.

Big Data 52

Big Data Data Integration Technology Management 52

Sisense

JUNE 8, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. Datasets are on the rise and most of that data is on the cloud.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

Alation

JULY 22, 2021

This course called on the students to utilize the catalog to find and query sample data, and then to publish results into articles on the site. For the course, ‘Big Data and Society’, we loaded publicly available COVID-19 data into the catalog for student use and investigation.

Informatics 98

Informatics Big Data Insurance Metadata 98

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? One challenge in applying data science is to identify pertinent business issues.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

Analytics Vidhya

SEPTEMBER 1, 2021

This article was published as a part of the Data Science Blogathon A data scientist’s ability to extract value from data is closely related to how well-developed a company’s data storage and processing infrastructure is.

Data Science 209

Data Science Publishing Modeling Analytics 209

Peter James Thomas

AUGUST 18, 2018

No this article has not escaped from my Maths & Science section , it is actually about data matters. The image at the start of this article is of an Ichthyosaur (top) and Dolphin. That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. An example is probably simpler to understand.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

datapine

SEPTEMBER 29, 2022

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Laminar Security

DECEMBER 13, 2023

Close to 70% of respondents in an ISC report indicated that they believe their organization lacks requisite cybersecurity staff to handle cloud data risk effectively. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

TDAN

MARCH 19, 2019

Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way.

Management 84

Management Data Lake Data Warehouse Analytics 84

Insight

AUGUST 20, 2019

While NoSQL databases emerged with the advent of big data, relational databases remain widely popular and are still the best solution for many use cases. Our Fellows have used it in their projects, often in conjunction with Spark, for the exploration of Reddit data.

Data Warehouse 71

Data Warehouse Big Data Data-driven Data Processing 71

Smart Data Collective

APRIL 15, 2021

Business Intelligence uses methods and tools like machine learning to take massive, unstructured swaths of data and turn them into easy-to-use reports. This article aims to outline the process. Set Up Data Integration. But how exactly to implement BI into a company? What kinds of BI tools are available ? Pitch to Key Players.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

Peter James Thomas

JUNE 20, 2019

Some of these are referenced by The Atlantic in an article (which, in turn, cites a study published by The Royal Society entitled The impact of the ‘open’ workspace on human collaboration ): “If you’re under 40, you might have never experienced the joy of walls at work. Gentlemen (and Ladies) Place your Bets.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

datapine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. If you want to take a deeper look into a more researched approach to the top software companies in the market, then take a look at our BI tools article including a rundown of the top 14 tools based on pricing, features, and user reviews!

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

DECEMBER 17, 2019

In this article, I review some of the top free and open source reporting tools. Jaspersoft ETL – an open-source ETL system that is easy to deploy and execute, creating a comprehensive data warehouse and data set. for the big data product, provides the REST API service interface. FineReport.

Reporting 98

Reporting Dashboards Visualization Cost-Benefit 98

FineReport

JULY 22, 2021

Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. The examples in this article are real applying cases using the application FineReport.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

Alation

FEBRUARY 20, 2020

We define it as this: Data acquisition is the processes for bringing data that has been created by a source outside the organization, into the organization, for production use. Prior to the Big Data revolution, companies were inward-looking in terms of data. Access the original article here.

Metadata 52

Metadata IT Data Governance Data Warehouse 52

Domino Data Lab

APRIL 3, 2019

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. In other words, #adulting. Cynical Perspectives.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

FEBRUARY 14, 2023

A 2023 New Vantage Partners/Wavestone executive survey highlights how being data-driven is not getting any easier as many blue-chip companies still struggle to maximize ROI from their plunge into data and analytics and embrace a real data-driven culture: 19.3% report they have established a data culture 26.5%

Data Strategy 108

Data Strategy Strategy Machine Learning Data-driven 108

Howard Dresner

JANUARY 8, 2013

Below are summaries and links to my articles posted thus far: January 7, 2013 Dresner’s Point: Three Don’ts, Four Do’s for Business Intelligence in 2013 What will we see cropping up in the business intelligence space in the coming year? Each week I am joined by Business Intelligence and information management experts (e.g.,

Business Intelligence 45

Business Intelligence Data Warehouse Data Processing Big Data 45

Data Virtualization

OCTOBER 5, 2022

The post Modern Data Architecture: Data Warehousing, Data Lakes, and Data Mesh Explained appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Lake 52

Data Lake Data Architecture Data Integration Management 52

Data Virtualization

FEBRUARY 24, 2022

We say that data storage, like matter, adheres to the Law of Increments, which states that, according. The post Introducing the Liquid Data Model appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Modeling 59

Modeling Data Integration Software Management 59

Alation

JANUARY 17, 2023

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52