Smart Data Collective

NOVEMBER 18, 2020

Data Science is used in different areas of our life and can help companies to deal with the following situations: Using predictive analytics to prevent fraud Using machine learning to streamline marketing practices Using data analytics to create more effective actuarial processes. Where to Use Data Mining?

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Data Mining Big Data Artificial Intelligence Data Warehouse 360

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 Warehouse 290

Data Warehouse Big Data Data Analytics Data Analytics 290

Smart Data Collective

JUNE 7, 2019

Data, for instance, has to be processed fast so that the companies can keep up to the changing business and market conditions in real time. This is where real-time stream processing enters the picture, and it may probably change everything you know about big data. What is Big Data?

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Big Data Real-time Data Data Warehouse Innovation 260

Dataversity

MARCH 17, 2021

I do not think it is an exaggeration to say data analytics has come into its own over the past decade or so. What started out as an attempt to extract business insights from transactional data in the ’90s and early 2000s has now transformed into an […]. appeared first on DATAVERSITY.

Data Analytics 130

Data Analytics Data Analytics Data Warehouse Data Architecture 130

Dataversity

FEBRUARY 3, 2022

From valuable insights regarding customer satisfaction to understanding vital improvements that you can make operationally, data analytics can provide a huge return on investment. However, many businesses shy away from Data Science and analytics because they feel […].

Data Analytics 130

Data Analytics Data Analytics Data Warehouse Big Data 130

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms. Data Analytics.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Analysts Corner

JUNE 18, 2023

Data integration has become a crucial aspect of managing this information, and two popular approaches have emerged to address these needs: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT). This process ensures that data is clean, accurate, and ready for analysis and reporting. ETL and ELT: Understanding the Basics 1.1

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Data Warehouse IBM Maintenance IBM Support Data Quality 130

The BAWorld

OCTOBER 17, 2024

Worry not, In this article, we will answer the following questions: What is a data warehouse? What is the purpose of data warehouse? What are the benefits of using a data warehouse? How does a data warehouse impact analytics? What are the different usages of data warehouses?

Data Warehouse 40

Data Warehouse Data Analytics Data Analytics Data Mining 40

Sisense

JULY 8, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

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Data Warehouse Embedded Analytics Real-time Data Documentation 90

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Actian

JULY 30, 2019

Data warehouse modernization. Move your Netezza, Teradata or Exadata data warehouse that likely runs on obsolete, proprietary hardware to a shiny new system that runs in the cloud, costs a fraction of what you were paying before and can be turned on and off like a light switch. You can read my full article here.

Data Warehouse 8

Data Warehouse Data Modelling Data Analytics Data Analytics 8

Actian

FEBRUARY 17, 2020

Your users are happy, but management is starting to ask questions about what’s next and how they can pull together the data from across different systems to drive real-time decision making across your operations. You need a real-time connected data warehouse. Why You Need a Connected Data Warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Supply Chain Logistics 40

Analysts Corner

JUNE 18, 2023

As the importance of data integration and analysis continues to grow, the demand for skilled ETL (Extract, Transform, Load) developers has risen accordingly. ETL developers play a critical role in managing and transforming data to enable organizations to make data-driven decisions.

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Astera

MAY 30, 2024

What Is Data Analytics? Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. Data Mining : Sifting through data to find relevant information.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

The BAWorld

APRIL 27, 2021

How are the Data Analytics projects executed? In this article, I am going to discuss and explain Data Analytics Projects Life Cycle. Over the last two years alone, 90 percent of the data in the world was generated! It would be impossible to find any useful information from this raw data. Data Storage.

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Data Analytics Data Analytics Data Visualization Visualization 52

Actian

FEBRUARY 13, 2020

Does your company have a real-time connected data warehouse where you can aggregate data flowing in from all of your IT systems together with streaming data from IoT, mobile, and SaaS services? Can you easily connect your on-premise, cloud, and multi-cloud systems to enable centralized analytics?

Data Warehouse 40

Data Warehouse Supply Chain Enterprise Architecture Digital Transformation 40

BizAcuity

MARCH 28, 2022

In this article, we look at how casinos can approach player retention as a strategic imperative, capable of a business-wide impact rather than just an ad hoc amalgamation of expedient tactics and initiatives. No wonder casinos have full-fledged data analytics teams both in-house and outsourced.

User Experience 130

User Experience Data Warehouse Planning Data Visualization 130

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. This design philosophy was adapted from our friends at Fishtown Analytics.).

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Dataversity

NOVEMBER 25, 2022

At the same time, many forward-thinking businesses, from startups to large corporations, have implemented a modern cloud analytics stack to use data more efficiently. In this article, we will discuss how a modern […].

Cloud Computing 130

Cloud Computing Data Warehouse Data Architecture Data Analytics 130

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. What Is Amazon Redshift? 

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Data Warehouse Data Modelling Banking Real-time Data 52

Actian

DECEMBER 2, 2019

Checklist: Critical Capabilities to Consider when Selecting a Data Integration Vendor That Enables Real-Time Analytics Use Cases. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. The initial data loading and migration are only the beginning.

Data Warehouse 8

Data Warehouse Digital Transformation Real-time Data Vision 8

The BAWorld

SEPTEMBER 18, 2024

Data Integration Overview Data integration is actually all about combining information from multiple sources into a single and unified view for the users. This article explains what exactly data integration is and why it matters, along with detailed use cases and methods. Extract: Data is pulled from its source.

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. If you missed the first two articles in this series, you can view them here and here.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

Sisense

OCTOBER 7, 2019

Augmented analytics is the next iteration of business intelligence, where AI elements are incorporated into every phase of the BI process. The powerful AI analytics systems that are emerging today have AI assisting users in a broad range of ways, but we’ll stay focused on data prep for this article. .

Artificial Intelligence 71

Artificial Intelligence Data Warehouse Monitoring Business Intelligence 71

Astera

SEPTEMBER 4, 2023

Data replication software are used in multiple scenarios, so there is no surprise that, according to IDC, the data replication software market is expected to grow at a 3.6% This article navigates through the top 7 data replication software available in the market and explains their pros and cons so you can choose the right one.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Warehouse 52

Actian

JULY 11, 2019

Some companies are relying on operational technology to support, for example, marketing, sales and digital delivery of services, but that is the topic of a future article.). Why operational technology data management may never be standardized. The post Will Data Management in Operational Technology Finally Be Standardized?

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

Data Pine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. Being numbers and data-driven: There are many expectations when it comes to working with BI and data analytics. Business Intelligence Job Roles. Here we will name 3 of the top ones.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

JUNE 8, 2023

In this article, we’ll dive into both PostgreSQL and Oracle, taking an in-depth look at their similarities and differences so you can make an informed decision as to which one is best for your specific business needs. Because of its scalability, it’s often used in corporate data warehouses and cloud computing applications.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Astera

JUNE 8, 2023

In this article, we’ll dive into both PostgreSQL and Oracle, taking an in-depth look at their similarities and differences so you can make an informed decision as to which one is best for your specific business needs. Because of its scalability, it’s often used in corporate data warehouses and cloud computing applications.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Astera

MAY 6, 2024

It utilizes artificial intelligence to analyze and understand textual data. Therefore, it can help businesses extract insights from text-based sources such as social media posts, customer reviews, articles, and more. Can handle large volumes of data. Accessible and customizable due to its open-source nature.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Actian

SEPTEMBER 3, 2019

In order to delve into each of the four key trends identified in the survey and highlighted in the Datacast Infographic , we are releasing a series of in-depth blog posts, which you can find and follow along with on Data at Work , the official Actian blog.

Data Architecture 40

Data Architecture User Experience Data Warehouse Real-time Data 40

Actian

SEPTEMBER 3, 2019

In order to delve into each of the four key trends identified in the survey and highlighted in the Datacast Infographic , we are releasing a series of in-depth blog posts, which you can find and follow along with on Data at Work , the official Actian blog.

Data Architecture 40

Data Architecture User Experience Data Warehouse Real-time Data 40

The BAWorld

OCTOBER 8, 2020

This article is going to describe the concepts of data analytics to answer the question – What is Data Analytics? You can read more articles by clicking on the Data Science/Analytics. What is Data Analytics? Uses and Examples of Data Analytics.

Data Analytics 59

Data Analytics Data Analytics Retail Data Warehouse 59

Data Pine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Employ a Chief Data Officer (CDO). Are the data sources going to remain disparate?

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

ElegantJ BI

NOVEMBER 1, 2022

In this article, we will discuss the topic of modern business intelligence tools and solutions and the advantages of providing self-serve tools to your users for day-to-day analysis and intelligence gathering. that will provide the foundational data for your users.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Analytics 130

ElegantJ BI

NOVEMBER 1, 2022

In this article, we will discuss the topic of modern business intelligence tools and solutions and the advantages of providing self-serve tools to your users for day-to-day analysis and intelligence gathering. that will provide the foundational data for your users.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Analytics 130