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

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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

Actian

FEBRUARY 5, 2020

Are you considering a hybrid cloud data warehouse for your company? Here is a list of the top must-have features of a hybrid cloud data warehouse solution. Your hybrid cloud data warehouse should support multi-cloud deployment. Storage needs grow incrementally over time as you produce more data.

Data Warehouse 40

Data Warehouse Digital Transformation Digital Data Management 40

Actian

FEBRUARY 3, 2020

A few months ago, Gartner published an update on the database market, which is highlighted in Adam Ronthal’s blog “ There is only One DBMS Market ” and made a rather profound declaration – the database markets have collapsed. Why is this important you might ask, and what does it have to do with my data warehouse?

Data Warehouse 40

Data Warehouse Digital Transformation Big Data Digital 40

BizAcuity

JULY 13, 2021

In many cases, source data is captured in various databases and the need for data consolidation arises and typically it takes around 6-9 months to complete, and with a high budget in terms of provisioning for servers, either in cloud or on-premise, licenses for data warehouse platform, reporting system, ETL tools, etc.

Data Warehouse 130

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BizAcuity

MAY 16, 2022

The more effectively a company uses data, the better it performs. As a data analytics company, we have been observing a trend among certain large enterprises who are looking for real-time data streaming for analytics. Data mining. Do let us know if you found the blog useful in the comments.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Sisense

JULY 8, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. 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. The ETL process and data warehouses.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

The BAWorld

DECEMBER 23, 2023

In this blog, we delve into the world of Business Analysis, exploring the diverse roles and skill sets associated with this dynamic field. Business Data Analyst Another distinct type is the Business Data Analyst, often seen working on data analytics projects. appeared first on Business Analysis Blog.

Banking 52

Banking UML Business Analysis Business Analysis 52

Sisense

APRIL 17, 2020

Money never sleeps and neither does your data. In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data.

Digital Transformation 81

Digital Transformation Data Warehouse Innovation Digital 81

Sisense

AUGUST 4, 2021

The Sisense Q2 2021 product release is packed with exciting innovations and enhancements that offer users a more extensible experience when it comes to analytics. Analytics adoption has stalled; only infused analytics can help. Optimize your cloud data warehouse cost forecasting. Learn more.

Data Warehouse 52

Data Warehouse User Experience Government Innovation 52

Sisense

APRIL 26, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. 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. Structured vs unstructured data.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data analytics case study: SkullCandy.

Big Data 52

Big Data Supply Chain Data Warehouse Data Analytics 52

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Data Pine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire.

Supply Chain 52

Supply Chain Embedded Analytics Pharmaceutical Data Warehouse 52

Astera

APRIL 28, 2023

To address these challenges, approximately 44% of companies are planning to invest in artificial intelligence (AI) to streamline their data warehousing processes and improve the accuracy of their insights. AI is a powerful tool that goes beyond traditional data analytics.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

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

Astera

MARCH 16, 2023

In this blog, we’ll talk you through the process of migrating data from Oracle to Azure Data Lake (Gen 2) using Astera Centerprise. Before we get to it, let’s quickly go through Oracle and Azure Data Lake first. Azure Data Lake is designed primarily to support big data analytics workloads.

Big Data 52

Big Data Data Warehouse Data Quality Data Analytics 52

Data Pine

JANUARY 24, 2021

This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. Now, with Data Dan, you only get to ask him three questions. The questions to ask when analyzing data will be the framework, the lens, that allows you to focus on specific aspects of your business reality.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. Big Data Storage Optimization. Enterprise Big Data Strategy.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

NOVEMBER 27, 2023

It’s a method used to diagnose the data’s health by thoroughly examining its structure, content, and relationships. It ensures that the data is accurate, consistent, and unique before it’s used for ETL and data analytics. It can also highlight patterns, rules, and trends within the data.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Sisense

OCTOBER 2, 2019

The difference between reporting and business intelligence goes beyond charts for the first or data correlations for the second. Different Business Needs Changes Convergence What to Do Now. Reporting and business intelligence are often used to refer to the same thing — but wrongly so!

Business Intelligence 75

Business Intelligence Business Intelligence Data Warehouse Data Analytics 75

Astera

APRIL 7, 2023

Finally, the stored data is retrieved at optimal speeds to support efficient analysis and decision-making. Essentially, a data warehouse also acts as a centralized database for storing structured, analysis-ready data and giving a holistic view of this data to decision-makers.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

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. Also, see data visualization.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

The BAWorld

SEPTEMBER 2, 2021

Non-technical users can also work easily with structured data. Structured Data Example. can be grouped in a data warehouse for marketing analysis. You can also learn Data visualization skills by joining our Data visualization course with Tableau and Power BI Certification Course.

Big Data 52

Big Data Data Warehouse Data Visualization Visualization 52

Astera

JULY 18, 2023

They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency. In this blog, we will explore the benefits of data wrangling tools and the top contenders in the market.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 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! Looking at the sheer volume of data generated every minute across the globe can be mind-boggling.

Data Analytics 52

Data Analytics Data Analytics Data Visualization Visualization 52

Astera

MARCH 11, 2024

It eliminates the need for complex infrastructure management, resulting in streamlined operations. According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. What are Snowflake ETL Tools? Snowflake ETL tools are not a specific category of ETL tools.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

APRIL 24, 2024

Data ingestion is important in collecting and transferring data from various sources to storage or processing systems. In this blog, we compare the best data ingestion tools available in the market in 2024. What is Data Ingestion? Sometimes, data from different sources might be in different formats or structures.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

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. And it’s completely free!

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

OCTOBER 19, 2023

Alteryx Alteryx data preparation tool offers a visual interface with hundreds of no/low-code features to perform various data preparation tasks. The tool allows users to easily connect to various sources, including data warehouses, cloud applications, and spreadsheets.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

DECEMBER 21, 2022

In simple terms, data extraction is the process of extracting and gathering data from semi-structured and unstructured sources, such as emails, PDF documents, PDF forms, text files, social media, barcodes, and images. How is unstructured data extraction done?

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Actian

NOVEMBER 26, 2019

The Challenges of Connecting Disparate Data Sources and Migrating to a Cloud Data Warehouse. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Conceptually, it is easy to understand why you would want to move to a cloud data warehouse.

Data Warehouse 8

Data Warehouse Vision Digital Transformation Data Security 8

Analysts Corner

JUNE 18, 2023

ETL Developer: Defining the Role An ETL developer is a professional responsible for designing, implementing, and managing ETL processes that extract, transform, and load data from various sources into a target data store, such as a data warehouse.

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

BizAcuity

MAY 10, 2022

And how this transformation will impact businesses in the short and long run is the main discussion in this blog. 2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. More on Kubernetes soon.

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