Category: Teradata

Feed: MemSQL Blog. Author: Rick Negrin. There is a trend in industry which says that modern applications need to be built on top of one or more special-purpose databases. That every application benefits from using the best-of-breed technology for each requirement. And that the plethora of special-purpose options available from certain cloud providers is reasonable to manage. That’s all BUNK. The reality is that navigating the choices, figuring out how to use them effectively, and dealing with the ETL and inevitable data sprawl, is so difficult that the pain far outweighs any technical advantage you might get. In the vast ... Read More

Feed: Teradata Blog. The hybrid cloud is not just a consideration, but for our customers, especially our larger customers, already a reality. To understand what we mean when we say hybrid cloud, we first need to define two terms: Hybrid Cloud: Uses mix of on-premises and one or more clouds. Multi-cloud: Uses two or more clouds. Typically, companies are using both hybrid and multi-cloud architectures. When we talk to our customers about hybrid cloud and or multi-clouds, we often hear the following: We want to use the best-of-breed cloud for a workload. We want to be cloud agnostic. One cloud provider does ... Read More

Feed: Alation. Author: Conor Knowles, Tableau. January 13, 2020— This post originally appeared on www.tableau.com/about/blog. Powering self-service analytics at MercadoLibreMercadoLibre hosts the largest online commerce platform in Latin America with 3.3 million sellers and 267 million users. The e-commerce giant leverages Tableau and the Alation Data Catalog to create a seamless process of data discovery and analysis with the goal of enabling all of its 7,000 employees with self-service analytics. MercadoLibre’s journey to democratizing data began five years ago. At the time, MercadoLibre had a traditional BI model where users would make a request of the BI team and then ... Read More

Feed: Teradata Blog. R and Python are two of the most popular languages for data science. Python is often praised as a general-purpose language traditionally applied in engineering disciplines, while R was initially developed with a focus on statistics. Whatever your language of choice is, chances are you have run into the same problems:   × Did you know that Teradata enables you to solve these problems with your language of choice by processing data directly within a Vantage system? Taking the analytic processing into the Teradata Vantage platform has tremendous processing and performance benefits, namely: R/Python code can leverage Vantage’s massively ... Read More

Feed: Teradata Blog. It is with a mix of expectation and hopefulness that I offer you my predictions for the data management and analytic trends that will accelerate in 2020, quite possibly leading to radical changes in how we approach these practices. Trend #1 – AI-Enabled Data Management Although it’s been around for decades, artificial intelligence has become the megastar of the analytics world in recent years due to advances in techniques and processing power. But AI can only be as effective as the quality of the data underneath, and while the breadth and depth of available data explodes, the ... Read More

Feed: Teradata Blog. There is no doubt that Kaggle, an online community of data scientists and machine learners, is a great place to learn and experiment with data science. There are many data scientists who invest a lot of time in Kaggle. That is fantastic. But you should not rely soley only on Kaggle to learn data science skills. And here are the reasons why: Data science is not only about prediction Kaggle focuses only on problems which require a prediction. However, there are many real world problems which are not related to prediction. For example, many companies are interested to know the ... Read More

Feed: Teradata Blog. Artificial intelligence has been getting a lot of attention lately, and rightly so. New techniques and advances in technology now make wide use of AI possible across all major industries and sectors. But being successful with AI requires more than selecting the right technology. Knowing this, organizations are scrambling to hire or develop the right talent and establish suitable structures to make effective use of AI. And if you look for it, you’ll find plenty of advice on “organizing for AI”. But there is something missing in much of this advice: How to organize for analytics in ... Read More

Feed: Teradata Blog. Language has been one of the most intelligent inventions by human beings. It is language that enables us to communicate with each other, know each other and eventually develop a relationship with each other. According to the Oxford English dictionary, language is defined as “the method of human communication, either spoken or written, consisting of the use of words in a structured and conventional way.” Language makes us unique from other living beings and has been one of the most important factors in shaping us as the dominant species of this planet. It has eased the lifestyle of ... Read More

Feed: Teradata Blog. I took my mother to the traveling Van Gogh art exhibit when it stopped by Los Angeles a few years back. The museum had strict enforcement in place on how many visitors could be inside viewing Van Gogh paintings at the same time. The staff kept track of how many people they let in, and how many were exiting, so the total number of visitors inside never exceeded a self-imposed limit. By correlating entrances to exits they could ensure that all visitors, once inside, ended up with a quality viewing experience without anyone needing to elbow their ... Read More

Feed: Actian. Author: Jack Mardack. The transformative agency of data within the enterprise grows more powerful every day, and the ways in which enterprises manage and leverage their data are therefore in a state of profound transformation. New technologies, strategies and trends are taking shape almost daily across analytics, cloud, UX and IoT.In 2020, we’re going to continue to see data re-shaping customer experience, multiple business functions, as well as the analytics infrastructures on which these systems operate. We’re also going to see 5G ushering in a golden age of IoT and analytics at the Edge. Customer Experience and Marketing ... Read More