With global data volumes now measured in zettabytes and growing rapidly, traditional enterprise IT systems increasingly will have a harder time scaling with it, leading to replacing servers and devices or moving to the cloud. Regardless of which path your business decides to take, data migration is inevitable. However, data migration is a complicated and […]
Read MoreReal-time data processing is the handling of data as it arrives, so it is available for use almost as immediately as it is created and collected. This term is most often used in the context of a business data center and refers to the ability to take data that’s been collected and make decisions based […]
Read MoreMore than a decade ago, Marc Andreessen wrote a prescient article in the Wall Street Journal titled “Why Software Is Eating The World,” which noted all the industries that were being disrupted by software. It set the stage for the megatrend of cloud computing. But his motto could also apply to data. If anything, the […]
Read MoreEnterprises worldwide are deeply engaged in their digital transformation journey, as they digitize and automate antiquated processes. To get there, they are increasingly investing in data analytics and business intelligence tools to analyze extensive datasets and make the right business decisions. Consequently, the data analytics market is surging, and now tops $200 billion in annual […]
Read MoreWith the volume of new data now measured in the hundreds of exabytes each day and Web 3.0 becoming a thing, businesses are in need of advanced analytics and big data tools that can turn that data into real-time insights and personalized services for their customers. And for that data to be effectively used for […]
Read MoreBusinesses have always been data-driven. The ability to gather data, analyze it, and make decisions based on it has always been a key part of success. As such, the ability to effectively manage data has become critical. In the past few years, data has exploded in size and complexity. For example, the amount of data […]
Read MoreTools that clean or correct data by getting rid of typos, formatting errors, and unnecessary and expendable data are known as data quality tools. These tools help organizations implement rules, automate processes, and remove costly inconsistencies in data to improve revenue and productivity. Why is Data Quality Important? The success of many businesses today is […]
Read MoreA business analyst is a critical role in many organizations. The job requires seeing the big picture and synthesizing information from across the business to find opportunities. Although every business analyst brings their own special set of skills and experiences to the table, earning a certification is a great way to prove your expertise. Business […]
Read MoreCopyright : Raphaël Soret / Safran Si vous pouviez travailler dans n’importe quelle entreprise, laquelle choisiriez-vous ? C’est peu ou prou la question à laquelle doivent répondre aujourd’hui les spécialistes de la donnée. Les profils de data scientist, data engineer ou data steward sont très recherchés dans toutes les industries et ces professionnels ont l’embarras […]
Read MoreA recently published report by analytics software company Qlik revealed that only 11 percent of employees feel confident in their digital literacy. Qlik’s Data Literacy: The Upskilling Evolution report, which surveyed more than 1,200 executives and 6,000 employees, also revealed that approximately 21 percent of employees think their employers are preparing them for a data-oriented […]
Read MoreToday, cloud computing is more than just another alternative for the business case. It has become an effective means of cutting costs, ensuring constant availability, and reducing downtime. In the past, connecting to the corporate network by accessing accounts, files, and business servers was only possible from offices and workspaces where firewalls or other security […]
Read MoreIdentity and access management (IAM) is a set of applications, tools, and policies that specify and maintain who has access to what resources and services in an organization. In development, security, and operations (DevSecOps), this involves access to logs, internal networks, platform-as-a-service (PaaS) models, internal and external Wikis, continuous integration and continuous deployment (CI/CD) pipelines, […]
Read MoreToday’s need for data security is no longer the same as a few years ago. Previously, businesses ran on data over their local area network (LAN). However, current data practices are shifting, as more remote workers are accessing data, applications, and servers through various networks. A few years ago, most online traffic was headed towards […]
Read MoreMachine learning (ML) teaches computers to learn from data without being explicitly programmed. Unfortunately, the rapid expansion and application of ML have made it difficult for organizations to keep up, as they struggle with issues such as labeling data, managing infrastructure, deploying models, and monitoring performance. This is where MLOps comes in. MLOps is the […]
Read MoreGenerative AI is an innovative technology that helps generate artifacts that formerly relied on humans, offering inventive results without any biases resulting from human thoughts and experiences. This new tech in AI determines the original pattern entered in the input to generate creative, authentic pieces that showcase the training data features. The MIT Technology Review […]
Read MoreRegardless of the strength of data’s encryption, more and more potential vulnerabilities surface in data security as more people are granted access to sensitive information. However, a relatively new encryption protocol poses a unique solution to these types of mounting privacy exposures. Homomorphic encryption enables users to edit data without decrypting it, meaning the broader […]
Read MoreAt its core, DevOps is a philosophy that emphasizes communication and collaboration between development and operations teams and continuous testing and release of new features on a regular basis. And while most people associate DevOps with cloud computing, many experts note that implementing DevOps in any type of environment is essential for today’s competitive businesses. […]
Read MoreDo you ever feel like you’re swimming in data but don’t know what to do with it? You’re not alone. In today’s digitally empowered economy, every business has access to more data than they know what to do with. According to a recent forecast by the International Data Corporation (IDC), the amount of digital data […]
Read MoreArtificial intelligence (AI) software platforms are used to build smart applications that mimic human behavior. Fast-paced development environments are a necessity to stay relevant in the booming software market of today, and a sound AI tool can help you immensely. In this guide, we will analyze the top AI software on the market. Table of […]
Read MoreData is the new oil, some say, forming a coveted resource that powers enterprise decision-making. Although, data in its raw form isn’t good for much. It needs to be extracted, refined, and processed—its constituents funneled into various byproducts through pipelines that range from source to refinery to end consumer. Every bottleneck in that system has […]
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