L’Observatoire de la démocratisation des usages de la donnée dans les organisations en France souligne quelques paradoxes. Ainsi, les entreprises françaises sont une large majorité à considérer les données comme un outil majeur de leur transformation numérique. En effet, selon le sondage réalisé par Odoxa, 78 % d’entre elles se disent déjà engagées dans une démarche […]
Read MoreDavid : Bonjour à toutes et à tous, et bienvenu pour ce nouvel épisode du ZDnet le Mag en partenariat avec Adobe. Le nouvel épisode de ce podcast s’adresse aux responsables marketing qui se demandent comment mieux analyser les données client. Et donc bien sûr nous allons évoquer les outils de type CDP, c’est à […]
Read MoreIn a world where data breaches are becoming increasingly common, it’s essential to take steps to protect enterprise information. That’s where data loss prevention tools come in. These tools can help companies protect their data from hackers, accidental deletion, insider threats and more. Businesses need to ensure the tools they use are practical and effective […]
Read MoreAnalysis 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 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 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 MoreRecently, IBM struck a deal to acquire Databand.ai, which develops software for data observability. The purchase amount was not announced. However, the acquisition does show the importance of observability, as IBM has acquired similar companies during the past couple years. “Observability goes beyond traditional monitoring and is especially relevant as infrastructure and application landscapes become […]
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 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 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 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 MoreData ethics are a hot topic among businesses large and small because the massive amounts of data we now collect can reveal so much about our customers, their habits, and their buying behaviors that we must navigate thorny issues of privacy and bias as we try to glean insight from that data. As with traditional […]
Read MoreWith 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 […]
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