Tag: data analytics

Feed: Actian. Author: Lewis Carr. And why is it better than a Data Lake or an Analytics Hub? In the opening installment of this blog series—Data Lakes, Data Warehouses and Data Hubs: Do we need another choice?  I explore why simply migrating these on-prem data integration, management, and analytics platforms to the Cloud does not fully address modern data analytics needs. In comparing these three platforms, it becomes clear that while all of them meet certain critical needs, none of them meet the needs of business end-users without significant support from IT. What we in fact need is a platform ... Read More

Feed: Recent Announcements. Amazon Kinesis Data Analytics makes it easier to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data streams. Amazon Kinesis Data Analytics reduces the complexity of building and managing Apache Flink applications. Amazon Kinesis Data Analytics for Apache Flink integrates with Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon Opensearch Service, Amazon DynamoDB streams, Amazon Simple Storage Service (Amazon S3), custom integrations, and more using built-in connectors. You can learn more about Amazon Kinesis Data Analytics for Apache ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Joydeep Bhattacharya. Healthcare is one of the most data-intensive industries in the world. With hospitals, clinics, and doctors all collecting patient information daily, it's no wonder that healthcare analytics is growing at an exponential rate. Big Data Analytics is a hot topic in the healthcare industry, but what are some trends that are happening now, and what do they mean for the future? This blog post will go over some of the most interesting trends happening with Big Data. We'll also show you how you can take advantage of these trends ... Read More

Feed: Recent Announcements. Today, we announce AI for data analytics (AIDA), a set of AWS Partners solutions that embed predictive analytics into mainstream analytics workspaces. AIDA partners solutions make it easy for business experts to use artificial intelligence (AI) and machine learning (ML) to derive better insights from data and take action. AIDA features solutions from the following AWS Partners: Amplitude, Anaplan, Causality Link, Domo, Exasol, Interworks, Pegasystems, Provectus, Qlik, Snowflake, Tableau, TIBCO, and Workato.  AIDA partners solutions have interfaces and integrations with AWS AI/ML services that help bring predictive analytics in the normal workflow of business users who use ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Paul Lasserre. By Paul Lasserre, Global Applied AI Segment Lead – AWSBy Dylan Tong, Partner Solutions Architect, AI-Augmented Analytics Leader – AWSBy Alice Bartose, Global Head of ML Partner Marketing – AWS We are excited to introduce AI for data analytics (AIDA) partner solutions which embed predictive analytics into mainstream analytics workspaces. AWS AIDA partner solutions make it easy for business experts to use artificial intelligence (AI) and machine learning (ML) to derive better insights from data and take action. These AI/ML solutions from Amazon Web Services (AWS) Partners have interfaces and integrations ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Diego Colombatto. By Diego Colombatto, Partner Solution Architect – AWSBy Souvik Khamaru, Executive Security Architect – IBM Cloud Security Centre of Competency IBM This post describes a solution created by IBM during the migration of a big data and analytics platform for one of the top 10 banks worldwide. The primary drivers were cost efficiency, business agility, and performance. The bank’s setup was based on premises and they decided to migrate the setup to Amazon Web Services (AWS) as part of its cloud-first initiative. As part of the migration, one of the challenges ... Read More

Feed: Actian. Author: Lewis Carr. Last August I wrote a blog about the data at the Beating Heart of Healthcare and introduced the concept of the healthcare data analytics hub.  Frequent readers will remember that a healthcare data analytics hub provides a unified, cloud-based platform that supports access, enrichment, analysis, visualization, and reporting services to both automate and act on healthcare delivery, operations, and administration activities. What distinguishes a healthcare data analytics hub from its forerunners—data warehouses, data lakes, and data hubs—is that it provides the tools to transform data from disparate sources many of which are external to the ... Read More

Feed: Cloudera Blog. Author: Rob Carey. Posted in Business | November 09, 2021 2 min read SANTA CLARA, Calif., Nov. 9, 2021 – Cloudera, the enterprise data cloud company, today announced Cloudera Data Platform capabilities available to help federal agencies meet requirements of the Biden Administration’s Executive Order on improving the Nation’s cybersecurity. Cloudera is committed to supporting the federal government in adhering to this executive order with the company’s technology and special government rates.  The executive order advocates for bold progress on detecting and remediating breaches, enhancing supply chain security and removing barriers to the sharing of threat information ... Read More

Feed: AWS Big Data Blog. Nearly all businesses today require some form of data analytics processing, from auditing user access to generating sales reports. For all your analytics needs, the Data Analytics Lens for AWS Well-Architected Framework provides prescriptive guidance to help you assess your workloads and identify best practices aligned to the AWS Well-Architected Pillars: Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization. Today, we’re pleased to announce a completely revised and updated version of the Data Analytics Lens whitepaper. Self-assess with Well-Architected design principles The updated version of the Data Analytics Lens whitepaper has been revised to ... Read More

Feed: CIO. Author: . Many organizations are working to become more data-driven – increasing data use and leveraging data insights to improve decision-making, solve their most challenging problems and improve revenue and profitability. A February 2020 IDC survey showed a direct correlation between quality decision-making and strong data-to-insight capabilities; 57 percent of organizations with the best data analytics pipelines received the highest decision-making score. Being data-driven requires a different approach than is possible with traditional BI tools, which can’t keep up with the pace of today’s digital economy and the rise of new technologies like cloud and artificial intelligence. The time has come for ... Read More