Tag: data warehouse

Feed: AWS Big Data Blog. This is a guest post by Dillon Morrison at Looker. Looker is, in their own words, “a new kind of analytics platform–letting everyone in your business make better decisions by getting reliable answers from a tool they can use.” As the breadth of AWS products and services continues to grow, customers are able to more easily move their technology stack and core infrastructure to AWS. One of the attractive benefits of AWS is the cost savings. Rather than paying upfront capital expenses for large on-premises systems, customers can instead pay variables expenses for on-demand services. To further ... Read More

Feed: AWS Big Data Blog. This is a guest post by Jeremy Winters and Ritu Mishra, Solution Architects at Full 360. In their own words, “Full 360 is a cloud first, cloud native integrator, and true believers in the cloud since inception in 2007, our focus has been on helping customers with their journey into the cloud. Our practice areas – Big Data and Warehousing, Application Modernization, and Cloud Ops/Strategy – represent deep, but focused expertise.”AWS Glue is a fully managed ETL (extract, transform, and load) service that makes it simple and cost-effective to categorize your data, clean it, enrich ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: George Vyshnya. Data Science and DevOps Convergence The primary mission of DevOps is to help the teams to resolve various Tech Ops infrastructure, tools and pipeline issues. At the other hand, as mentioned in the conceptual review by Forbes in November 2016, the industrial analytics is no more going to be driven by data scientists alone. It requires an investment in DevOps skills, practices and supporting technology to move analytics out of the lab and into the business. There are even voices calling Data Scientists to concentrate on agile methodology and ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: john-sprague; Data already is the new currency and is at the heart of everything digital. I like to repeat the adage, “Data becomes Information, becomes Knowledge, becomes Wisdom”.  And “It’s all about the data”.  So why do we send up probes, sensors or satellites —  for the data?I’d like to touch upon some mission critical projects showing how NASA is using Big Data in a variety of ways to accomplish its goals: Quantum Artificial Intelligence Laboratory (QuAIL) and quantum computers NASA's Pleiades Supercomputer performing modeling and simulation Distributed Active ... Read More

Feed: Microsoft Azure Blog. Author: Ron Ortloff. SQL Data Warehouse is a fully managed, petabyte-scale cloud service for data warehousing. SQL Data Warehouse is highly elastic, enabling you to provision in minutes and scale capacity in seconds. With the public preview release of Replicated tables, the ability to reason over large amounts of data on SQL Data Warehouse at lightning fast speeds, just got faster. Replicated tables is a feature designed to speed up queries by reducing data movement. Data movement happens in distributed data warehouse systems when tables are joined or aggregated in a manner inconsistent with how they ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Nadeem Asghar. Attunity is a long-time Hortonworks partner who provides data optimization and data integration software to help Hortonworks customers address exploding data growth, efficiently manage the performance of BI and data warehouse systems, and realize the tremendous economies of Apache Hadoop®. Attunity solutions are certified on HDF, HDP and are YARN Ready. Together, Hortonworks and Attunity are committed to advancing Hadoop through community-led innovation. This new solution is one more example of that. Attunity Compose for Hive By Jordan Martz, Director of Technology Solutions, Attunity Attunity Compose for Hive automates the data pipeline ... Read More

Feed: Microsoft Azure Blog. Author: Josh Caplan. In April we announced the general availability of Azure Analysis Services, which evolved from the proven analytics engine in Microsoft SQL Server Analysis Services. The success of any modern data-driven organization requires that information is available at the fingertips of every business user, not just IT professionals and data scientists, to guide their day-to-day decisions. Self-service BI tools have made huge strides in making data accessible to business users. However, most business users don’t have the expertise or desire to do the heavy lifting that is typically required, including finding the right sources ... Read More

Feed: AWS Big Data Blog. by Jorge A. Lopez | on 10 AUG 2017 | Permalink | |  Share One of the benefits of a data warehouse environment using both Amazon Redshift and Amazon RDS for PostgreSQL is that you can leverage the advantages of each service. Amazon Redshift is a high performance, petabyte-scale data warehouse service optimized for the online analytical processing (OLAP) queries typical of analytic reporting and business intelligence applications. On the other hand, a service like RDS excels at transactional OLTP workloads such as inserting, deleting, or updating rows. In the recent JOIN Amazon Redshift AND ... Read More

Feed: CDH – Cloudera Engineering Blog. Author: Karina Babcock. Users of CDH, Cloudera’s Big Data platform, are solving big problems and building amazing solutions with Apache Hadoop. We at Cloudera are very proud of our customers’ accomplishments, and it’s time to showcase them. This year we’re thrilled to present the first annual Data Impact Awards, an awards program designed to recognize Hadoop innovators for their achievements in five categories: Business Impact: Driving tangible results to an organization, company or industry by empowering new capabilities that generate top-line growth and/or increased competitive advantage, or improving operational efficiencies that result in quantifiable ... Read More

Feed: MemSQL Blog. Author: Mike Mohler. Data today moves in extremely large volumes at light speed all while requiring high levels of protection on the content. Traditional database and data warehouse technologies are unable to handle these workloads without the need for expensive hardware appliances. The NoSQL and Hadoop-based systems are very complex and unable to support real-time analysis. A new way to process fast-moving, structured content is needed to achieve this level of scale and security. Why not a highly secure and extreme scalable SQL-based approach? Imagine the volume of telemetry data that is required for processing a swarm ... Read More