Analysis of data fed into data lakes promises to provide enormous insights for data scientists, business managers, and artificial intelligence (AI) algorithms. However, governance and security managers must also ensure that the data lake conforms to the same data protection and monitoring requirements as any other part of the enterprise. To enable data protection, data […]
Read MoreLast year, Match Group – which operates online platforms like Tinder, Match.com and Hinge – shelled out $1.725 billion to acquire Hyperconnect. This was a play on the metaverse. Unfortunately, Match had challenges in making the strategy work. In the latest shareholder letter, Match CEO Bernard Kim noted: “I’ve instructed the Hyperconnect team to iterate […]
Read MoreData continues to grow in importance for customer insights, projecting trends, and training artificial intelligence (AI) or machine learning (ML) algorithms. In a quest to fully encompass all data sources, data researchers maximize the scale and scope of data available by dumping all corporate data into one location. On the other hand, having all that […]
Read MoreHelsinki – Le pari de la Finlande en matière de santé publique passe par la recherche génétique. Une recherche alimentée par les données de santé de la population, avec des échantillons stockés à des températures allant de -20 à -150°C dans des biobanques. Le pays recense à présent 11 établissements de ce type. Ces biobanques abritent […]
Read MoreData lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these tools are designed to accomplish different tasks, so their functions are not exactly the same. We’ll go over those differences here, so […]
Read MoreData lakes have become a critical solution for enterprises to store and analyze data. A cloud data lake solution offers a number of benefits that make it an ideal tool for managing and processing data, including protection of sensitive information, scalability of storage and resources, and automation of data-related processes. We’ll look at the top […]
Read MoreIn this data-driven age, enterprises leverage data to analyze products, services, employees, customers, and more, on a large scale. ETL (extract, transform, load) tools enable highly scaled sharing of information by bringing all of an organization’s data together and avoiding data silos. What are ETL Tools? Extract, transform, and load a data management process for […]
Read MoreThe extraction of meaningful information from Big Data is a key driver of business growth. For example, the analysis of current and past product and customer data can help organizations anticipate customer demand for new products and services and spot opportunities they might otherwise miss. As a result, the market for Big Data tools is […]
Read MoreIt seems that the boom times for venture capital are over. This is not just the sentiment of the media or analysts. Keep in mind that a variety of venture capitalists agree that the slowdown is real – and could last a few years. Just look at Sequoia. On May 16, the top VC firm […]
Read MoreCertaines conséquences se sont déjà fait ressentir au niveau des consommateurs qui commencent à découvrir des produits manquants sur les étagères des magasins. Avec le nouveau confinement de plusieurs villes chinoises dont Shanghai, le plus grand port de porte-conteneurs du monde, la liste de ces pénuries risquent de s’allonger. S’il s’agit là de deux événements […]
Read More2023 sera l’année de la fin des cookies tiers. Google a annoncé son intention de différer leur abandon progressif dans Chrome, laissant ainsi aux professionnels du marketing un tout petit peu plus de temps pour s’y préparer. Cela signifie-t-il pour autant que les marques sont prêtes ? Voici six données à prendre en compte avant […]
Read MoreDespite facial recognition technology’s potential, it faces mounting ethical questions and issues of bias. To address those concerns, Microsoft recently released its Responsible AI Standard and made a number of changes, the most noteworthy of which is to retire the company’s emotional recognition AI technology. Responsible AI Microsoft’s new policy contains a number of major […]
Read MoreThe term “data company” is certainly broad. It could easily include giant social networks like Meta. The company has perhaps one of the world’s most valuable data sets, which includes about 2.94 billion monthly active users (MAUs). Meta also has many of the world’s elite data scientists on its staff. But for purposes of this […]
Read MoreHaving a clear understanding of where your data is being consumed is a critical first step toward being able to secure and ultimately protect it. Using data flow diagrams, it is possible to know the flow of data through each of the systems and processes being used within your organization. Though often used during the […]
Read MoreThe concept of the data fabric emerged in 2015 from NetApp. It was later redefined after three years as implementations matured. And as the rest of the data storage industry pushed their own data fabric solutions, the initial concept started to lose its original meaning. While it is not an uncommon occurrence for emerging concepts […]
Read MoreData lineage is the process of identifying the source of data, recording the transformations and flows of data over time, and visualizing data flow from sources to end users. Data lineage empowers data scientists, engineers, and data teams with granular visibility of data dynamics to help them and their organizations keep tabs on errors, carry […]
Read MoreBig Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS and data lakes. Big Data Requires Big Storage Big Data is an all-encompassing term that refers to large and complex sets of unstructured, semi-structured, and structured […]
Read MoreEnterprises today collect unimaginable amounts of data. But if data is raw, enterprises cannot utilize it to its full potential. Data wrangling helps turn this raw data into valuable data for the enterprise. Even though data wrangling is the most time-intensive component of data processing, it yields indispensable insights that impact future uses of the […]
Read MoreSi le choix du datacenter dépend des besoins et objectifs des entreprises, il s’agit avant tout de trouver l’installation qui assurera au mieux la continuité de l’activité. publicité Connectivité : une liaison directe avec vos partenaires Évaluer la connectivité offerte par un datacenter revient à étudier sa communauté de membres dont les machines sont installées […]
Read MoreLa présidente de la Commission européenne et le président américain ont annoncé le 25 mars 2022 avoir trouvé un nouvel accord politique de principe cadrant le transfert des données personnelles européennes vers les États-Unis. Ce nouvel accord viendrait combler le vide laissé par l’invalidation du Privacy Shield. En l’état actuel de la loi et la […]
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