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October 19, 2017 | Shelby Khan | Dataworks Summit

7 Sessions From DataWorks Summit Sydney You Should See

October 18, 2017 | Kevin Jordan | Hortonworks Case Study

How Much Can You Trust Your Big Data?

October 16, 2017 | Matt Spillar | Hortonworks Case Study

Leveraging Data to Make Decisions in Financial Services

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In September, we rounded out the 2017 DataWorks Summit events in Sydney, Australia. Each event boasts different sessions, keynotes, sponsors, etc. so you can be sure to get a new experience and the latest updates from the community wherever you go. Aside from the networking opportunities, the best part of DataWorks Summit is the session […]

In the financial services industry, fraud becomes an ever-increasing concern as the world becomes more connected through the web, electronic payments, mobility, and ever-changing technologies. The amount of data that is produced from any one customer transaction must be monitored closely, as there are various new sources to collect data from in today’s data landscape. […]

The financial services industry encounters a variety of unique challenges with data. These companies not only need the ability to process huge amounts of data from traditional and non-traditional sources, but they also need to ensure the data is secure. This data is then used for actionable intelligence presenting huge business opportunities. One example of […]

This blog post is from one of our newest partners, Unravel Data, an MDS ISV/IHV Partner in the Partnerworks Program. Our guest blogger is Oliver Claude, CMO. Application Performance Management (APM) As more and more modern data applications get deployed, the business needs production-grade performance to ensure mission critical apps run fast and error free. […]

At this point, the number of blogs and articles about Big Data probably surpasses the amount of data collected by a typical organization. For every company trying to solve the “data problem”, the issue isn’t just sheer size. That is just the starting point, and granted, it is a major hurdle to jump, but that […]

Guest author Nagapriya Tiruthani, Offering Manager, IBM Big SQL, IBM Why Big SQL? Enterprise Data Warehousing (EDW) emerged as a logical home for all enterprise data that captures the essence of all enterprise systems. But in recent years, there’s been an explosion of data being captured from social media, sensors, etc. This rapid growth has put […]

Recent versions of Hortonworks Data Platform (HDP) introduced several innovations in the areas of security, data governance, business cataloging, query optimization, visualization, and backup-and-restore. To help us keep pace with the rapid adoption of HDP, we are actively partnering with innovative companies within the big data ecosystem. Expanding the Ecosystem One such partner is Denodo, […]

Without the right knowledge at the right time in the healthcare industry, there can be dire consequences for many people. This means no one person or organization can monopolize knowledge, and the only way to ensure the transference of information is accessible data. Nothing is Solved in a Silo On Monday, we discussed how predictive […]

At Hortonworks we are constantly striving to achieve high quality releases. HDP/HDF releases are deployed by thousands of enterprises and are used in business critical environments to crunch several petabytes of data every single day. So maintaining the highest standards of quality and investing in an infrastructure to support the repeatable standards of quality is […]

Healthcare organizations face distinct challenges in managing the quantity of their data along with being able to utilize data from numerous different sources. Through the use of predictive analytics and data virtualization, healthcare organizations are able to better serve their members. One example of utilizing predictive analytics to provide better solutions and cost savings is […]

Big Data is rapidly changing our world, and the insurance industry is no exception. Leveraging and analyzing data leads to actionable insights that insurance companies use to help mitigate risks to prevent disasters. The availability of new data sources has created new opportunities to optimize risk, reduce exposure and create behavior based products. Insurance companies […]

The Enterprise Data Warehouse (EDW) has been a great custodian of enterprise data, and the foundation for business critical analytics for many years. The growing volumes of business data combined with recent advances in Big Data technology are introducing a market inflection point where enterprise legacy EDWs can no longer effectively address the scale, diversity, […]

Originally published by DataQuest It would not be an over statement to say that widespread cyber attacks crippling global businesses has become the new normal. The speed and scale of the recent ransomware attacks and cyber-security breaches have taught us one important lesson. Threat detection and mitigation will be the key to SOC (security operations […]

Bad data in any organization has damaging consequences, and in the housing market, the families that become affected only inflames concerns. Without the proper data at the right time, and the ability to effectively govern the data coming in, the process of ensuring the right candidates are able to live in the home of their […]

With today’s new rapid pace, speed to market is a huge factor for any business. The faster a company can gain insights from their data, the better they can serve their customers. If changes aren’t made quickly enough, there’s a significant risk of losing customers and market share. One example of gaining faster insights from […]

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@hortonworks: With #OpenSource, #DataMgmt solutions can store, process & analyze nearly any data- including #streaming & real time https://t.co/bdjum2OtGc

@hortonworks: Moving the needle! New ORC is 2x-11x faster @ 10TB in #ApacheSpark. Get the details here: https://t.co/yp7ogpgddI #DWS17

@hortonworks: What does a modern #DataScience platform look like? Get a demo of #DSX on HDP, here: https://t.co/9HLErL6veE… https://t.co/6P75c7z1Ji

@hortonworks: How much can you trust your #BigData? https://t.co/Pi7zZUKNQn #FinTech https://t.co/HOQwo1zAd4

@hortonworks: Common challenges in deploying #BigData projects: resolving performance and utilization problems… https://t.co/7pfDwYgQe0

@hortonworks: The right systems and services are crucial in measuring performance for successful #BigData & #analytics projects https://t.co/iWrgUrK37M

@hortonworks: What is #BigSQL and how does it relate to #Apache Hadoop? https://t.co/AteZUhXKg1 via @IBM

@hortonworks: One of the best parts of @DataWorksSummit is the sessions. Here are ones you will want the slides for: https://t.co/1GGabrAjKV #DWS17