Tag: data warehouse

Feed: erwin Expert Blog – erwin, Inc.. Author: Zak Cole. Much like the hospitality industry, digital transformation in retail has been a huge driver of change.One important fact is getting lost among all of the talk of “the retail apocalypse” and myriad stories about increasingly empty shopping malls: there’s a lot of money to be made in retail. In fact, the retail market was expected to grow by more than 3 percent in 2018, unemployment is low, and wages are at least stable. In short, there’s money to be spent. Now, where are shoppers spending it? Coming into 2019, consumers ... Read More

Feed: Planet PostgreSQL. First off – not trying to kindle any flame wars here, just trying to broaden my (your) horizons a bit, gather some ideas (maybe I’m missing out on something cool, it’s the most used Open Source RDBMS after all) and to somewhat compare the two despite being a difficult thing to do correctly / objectively. Also I’m leaving aside here performance comparisons and looking at just the available features, general querying experience and documentation clarity as this is I guess most important for beginners. So just a list of points I made for myself, grouped in no ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Editor’s Note: This presentation was given by Irene Iriarte-Carretero at GraphConnect San Francisco in October 2016.Presentation SummaryGousto is a UK-based recipe box service that uses Neo4j to map recipe ontologies so it can provide more personalized recommendations to customers. It all starts with the customer data journey, and all the places along the way that data collection and analysis can help improve efficiencies in the areas of marketing, forecasting, warehouse distributing, and product allocation. Customer personalization plays an extremely important role in the company’s business model for a simple reason: providing relevant ... Read More

Feed: SAS Blogs. Author: Karen Prillwitz. “We have a data lake. Nowadays, who needs a data warehouse too? That’s totally antiquated. It’s an obsolete model.” I often hear this kind of sentiment in my consulting work with clients. Dynamic analytics and digitisation teams face what they see as antiquated systems that are in urgent need of an overhaul. Unfortunately, this often leads to confrontations with the guardians of the previous systems. Views and working methods collide, and so do those involved. Conflict, lack of respect and contempt are much more prevalent than anyone is prepared to admit. In some businesses, ... Read More

Feed: Actian. Author: John Bard. With increasing competition in the marketplace and shrinking profit margins in many industries, companies are increasing looking for ways to achieve higher levels of business process optimization throughout their supply chain.  This isn’t a new challenge, but it is one that has recently taken on greater importance with the acceleration of the speed of business change.Many optimization techniques, one common problem The entire field of Production and Operations Management has developed over the last 50 years applying various techniques to address this problem.  Companies have learned a lot about how to eliminate waste, achieve consistency ... Read More

Feed: Microsoft Azure Blog. Author: James Baker. On February 7, 2019 we announced the general availability of Azure Data Lake Storage (ADLS) Gen2. Azure is now the only cloud provider to offer a no-compromise cloud storage solution that is fast, secure, massively scalable, cost-effective, and fully capable of running the most demanding production workloads. In this blog post we’ll take a closer look at the technical foundation of ADLS that will power the end to end analytics scenarios our customers demand. ADLS is the only cloud storage service that is purpose-built for big data analytics. It is designed to integrate ... Read More

Feed: R-bloggers. Author: Hugo Bowne-Anderson. Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Marco Blume, Trading Director at Pinnacle Sports. Here is the podcast link. Hugo: Hi there, Marco, and welcome to Dataframed. Marco: Yeah, hi Hugo. Thanks for having me. Hugo: Real pleasure to have you on the show and I’m actually really excited to have you here today to talk about sports betting, how data science plays a huge role in what you do as trading director at Pinnacle, with respect to sports betting. And also the fact that sports betting in your line of ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . In September 2018, IBM announced a new product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to decide on optimal patterns and passes this information to the Db2 query optimizer for use by subsequent statements. Machine Learning on the IBM z Platform In May of 2018, IBM announced version 1.2 of its Machine Learning for z/OS (MLz) product. This is a hybrid zServer and cloud software suite that ingests performance data, analyzes and builds models that represent the health ... Read More

Feed: Cloudera Engineering Blog. Author: Tom Wheeler. Cloudera Data Warehouse offers a powerful combination of flexibility and cost-savings. Using Cloudera Data Warehouse, you can transform and optimize your current traditional data warehouse by moving select workloads to your CDH cluster. This article shows you how to transform your current setup into a modern data warehouse by moving some initial data over to Impala on your CDH cluster. Prerequisites To use the following data import scenario, you need the following: A moderate-sized CDH cluster that is managed by Cloudera Manager, which configures everything properly so you don’t need to worry about ... Read More

Feed: IBM Big Data Hub Blog; Author: kevin-oliver; The focus on customer needs for greater choice and flexibility is a constant at the IBM Think 2019 conference. Nowhere is this more evident than in IBM Hybrid Data Management, which supports data of any type, source and structure, be it on-premises or in the cloud.On Monday, the level of customer choice expanded even further with two key announcements, including IBM Db2 Warehouse on Cloud, now available on Amazon Web Services (AWS), and the introduction of a cost optimized, symmetric multiprocessing (SMP) elastic scaling configuration. Both announcements are great news for organizations ... Read More