Tag: Big Data

Feed: Actian. Author: Traci Curran. Embarking on a big data project can be daunting. If you believe that you need insight into your business activity, that you have to collect a large “big data” stash, and that you need to analyze it all to generate worthwhile insight, you will likely feel swamped by the task ahead to get any meaningful value from this project.Big data, especially open data, has huge potential. Many businesses hold the same data – that is, data gathered from open-data sites – and combine it with their own data to find something unique. Being able to ... Read More

Feed: Matillion. Author: Julie Polito; “Big data analytics” refers not just to massive sets of diverse data, but also to the tools and processes used to generate value from that data. Big data analytics can deliver insights that businesses are unable to uncover through traditional analysis of discrete datasets; the big data analytics process is invaluable, but companies can’t perform it effectively with their legacy processing and storage infrastructures.Here’s an overview of the big data analytics process, the common challenges companies face in performing it, and the increasing move to the cloud and cloud-native tools to support the undertaking. But ... Read More

Feed: AWS Big Data Blog. Customers with specific needs to run big data compute jobs on an on-premises infrastructure often require a scalable orchestration solution. For large-scale distributed compute clusters, the orchestration of jobs must be scalable to maximize their utilization, while at the same time remain resilient to any failures to prevent blocking the ever-growing influx of data and jobs. Moreover, on-premises compute resources can’t be extended on demand, therefore, the jobs may be competing for the same resources with different priorities. This post showcases serverless building blocks for orchestrating big data jobs using AWS Step Functions, AWS Lambda, ... Read More

Feed: AWS Big Data Blog. With real-time information about customers, products, and applications in hand, organizations can take action as events happen in their business application. For example, you can prevent financial fraud, deliver personalized offers, and identify and prevent failures before they occur in near real time. Although batch analytics provides abilities to analyze trends and process data at scale that allow processing data in time intervals (such as daily sales aggregations by individual store), real-time analytics is optimized for low-latency analytics, ensuring that data is available for querying in seconds. Both paradigms of data processing operate in silos, ... Read More

Feed: AWS Big Data Blog. This post is co-written with Richard Li from SailPoint. SailPoint Technologies is an identity security company based in Austin, TX. Its software as a service (SaaS) solutions support identity governance operations in regulated industries such as healthcare, government, and higher education. SailPoint distinguishes multiple aspects of identity as individual identity security services, including cloud governance, SaaS management, access risk governance, file access management, password management, provisioning, recommendations, and separation of duties, as well as access certification, access insights, access modeling, and access requests. In this post, we share how SailPoint updated its platform for big ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Integrate Power BI Premium Gen2 inherently with Microsoft’s collaboration analytics stack — including the new Power BI app for Microsoft Teams that makes it easier to access, share, and act on insights as you work, the latest AI-driven visualization capabilities with Smart Narratives and achieving near real-time analytics over your enterprise data using Hybrid Tables in Power BI Premium Gen2. Vanessa Fournier, Microsoft Power BI Director, joins Jeremy Chapman to share how Power BI makes it accessible for everyone to use, from novice to data scientist. Power BI is ... Read More

Feed: Cloudera Blog. Author: Cloudera Contributors. Posted in Business | April 06, 2022 5 min read This blog post was written by Elizabeth Howell, Ph.D as a guest author for Cloudera.  At a distance of a million miles from Earth, the James Webb Space Telescope is pushing the edge of data transfer capabilities. The observatory launched Dec. 25 2021 on a mission to look at the early universe, at exoplanets, and at other objects of celestial interest. But first it must pass a rigorous, months-long commissioning period to make sure that the data will get back to Earth properly. Mission ... Read More

Feed: R-bloggers. Author: R to the max. [This article was first published on R to the max, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Plotting Big Data and Alpha When plotting too many data points, we use alpha= because points are overlapped and indistinguishable. library(dplyr) library(data.table) library(cowplot) library(ggplot2) #N <- 1000 N <- 1000000 x <- rnorm(N) y <- x + rnorm(N) dat <- data.table(x = x, y = y) dat %>% ... Read More

Feed: Neo4j Graph Database Platform. Author: Enzo. Welcome back, everyone, and welcome to 2022! 2021 flew by like no other (arguably faster than 2020, I’d say). It’s hard to believe I’m writing a winter edition of our news round-up, having already wrapped up the holiday season. Over the last few months, we’ve read and spoken a lot about the immense growth at Neo4j, including a new funding round and board appointment, how to truly understand our data amongst the deluge, and the ongoing challenges of cybercrime (an evergreen theme, it seems). Wrapping up the year has been nothing short of ... Read More

Feed: Big Data Made Simple. Author: Lee Li Feng. The fintech industry is growing at an accelerated pace, driven by new technological innovations and evolving needs. In many cases, the modern enhancements across many IT sectors have had secondary effects across industries – and particularly on fintech products and services.For example, artificial intelligence (AI) now drives a large number of applications and major predictive market models/systems. Of particular note are big data analytics and product analytics. Both industries get a lot of news coverage, though normally in relation to social media or marketing. Yet many emerging fintech companies are using ... Read More