Fri.Apr 28, 2023

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A Beginner’s Introduction To The Most Common Data Types In Programming 

Data Pine

Table of Contents 1) What Are Data Types? 2) The Need For Data Types 3) List Of Common Data Types a) Primitive Data Types b) Composite Data Types c) Abstract Data Types In our digitally-driven age, data is permeating every industry and business function at an increasing pace. In fact, it is estimated that approximately 328.77 million terabytes of data are generated every day.

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Will My Career Benefit from Becoming a Citizen Data Scientist?

Dataversity

As a team member within a business environment, you may be familiar with the term “citizen data scientist.” This term has been around for some time and was popularized by Gartner, which defines a citizen data scientist as “a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside […] The post Will My Career Benefit from Becoming a Citizen Data Scientist?

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Utilizing SAP Analytics Tools to Turn Your Data Into Valuable Insights!

Fingent

SAP is widely known for its brilliant abilities and functionalities, the foremost being Data Analysis. The newest version of SAP ERP is the SAP Data and Analytics Solution. It has been making great strides in helping businesses make sense of their data and make intelligent decisions. But before we dive into that, let us briefly […] The post Utilizing SAP Analytics Tools to Turn Your Data Into Valuable Insights!

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Elevate Your Decision-Making: The Impact of Observability on Business Success

Dataversity

In our rapidly evolving microservices and digital landscape, keeping track of what is happening with these services and making well-informed decisions is paramount for business success. With observability, organizations can navigate complex challenges and unlock their full potential in the digital world. Observability is a term that was coined for control systems to measure how well a […] The post Elevate Your Decision-Making: The Impact of Observability on Business Success appeared first

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How to Build the Ideal HR Team

HR doesn’t exist in a vacuum. This work impacts everyone: from the C-Suite to your newest hire. It also drives results. Learn how to make it all happen in Paycor’s latest guide.

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AI and Data Management: How Intelligent Systems are Changing the Game

Astera

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. This is where intelligent systems come in. Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how organizations collect, store, analyze, and leverage data.

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Exploratory Testing: Why Is It Not Ideal for Agile Projects?

Agile Connection

As the Agile environment has efficient principles that allow quick responses to changes and the ability to deal with uncertainty, exploratory testing may seem like a perfect match for such projects. However, this is only partially true. In reality, diverse reasons impede its usage in Agile projects, and companies should take them into account before designing QA strategies.

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Retail real estate sector is booming: how digital transformation can help to succeed?

CMW Lab Blog

With the end of lockdown, the retail real estate sector showed significant growth in 2022. The forecasts for 2023 prove this tendency with a retail vacancy rate falling to 4,2%. It means the beginning of an even tougher race between real estate agencies than it ever was before. How to stay on top in this highly competitive environment and what technologies can help with it?

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Article: How Not to Use the DORA Metrics to Measure DevOps Performance

InfoQ Articles

The DORA metrics are the de facto measuring stick but they can be used incorrectly and drive poor behavior and performance. When using any metrics, a strong focus on the end goal must be maintained.

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The Role of AI in Cybersecurity and Data Privacy: Protecting Your Business in 2023 and Beyond 

Astera

As the world moves towards an increasingly digital future, cybersecurity and data privacy have become two of the most pressing concerns businesses and individuals face. With sensitive data being generated and transmitted at an unprecedented scale, the stakes have never been higher. In this landscape, Artificial Intelligence (AI) has emerged as a game-changing technology with the potential to revolutionize how we approach these critical issues.

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How to Stay Competitive in the Evolving State of Martech

Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks. To help practitioners keep up with the rapidly evolving martech landscape, this special report will discuss: How practitioners are integrating technologies and systems to encourage information-sharing between departments and pr

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Everyday Uses of AI/Chatbots for the Common Man 

Astera

AI and chatbots are not just buzzwords but practical tools transforming lives by providing personalized assistance and streamlining operations for the common man. Artificial intelligence (AI) and chatbots have been making significant strides in recent years, with a growing number of industries and businesses adopting the technology to improve customer experiences and streamline operations.

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The Role of AI in Cybersecurity and Data Privacy: Protecting Your Business in 2023 and Beyond 

Astera

As the world moves towards an increasingly digital future, cybersecurity and data privacy have become two of the most pressing concerns businesses and individuals face. With sensitive data being generated and transmitted at an unprecedented scale, the stakes have never been higher. In this landscape, Artificial Intelligence (AI) has emerged as a game-changing technology with the potential to revolutionize how we approach these critical issues.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. 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.