Big data provides significant opportunities with its ability to provide a platform for data management, help lower IT costs, accelerate data capture and integration, and deliver data and advanced analytics across all types of data in a single environment. The challenge is to apply the unique properties of big data – it is a very different type of technology – properly so these advantages are realized. RCG has found that most companies simply don’t understand how best to use big data technology. With our deep big data experience, we help our clients realize value and develop expertise applying big data to their business.
RCG has been recognized by CIO Review, CIO Story and Healthcare Tech Outlook for our leadership in providing Big Data Solutions.
Additionally, RCG has partnered with the foremost Hadoop-based data platform providers to enable industry-leading solutions using best practices. Our partners include Cloudera, MapR, Hortonworks, Pitney Bowes, Trifacta, Informatica Big Data Edition, and Attunity.
Read Insights on Big Data, Hadoop and the Internet of Things
RCG’s delivery leaders are sharing their expertise and thoughts in weekly blogs. A number of these are focused on the application of big data.
- Big Data Ingestion Challenges: What to do with ALL that Data? by Sai Yammada offers an approach to what to do with that massive reservoir of data and presents the key to surviving and thriving amidst the Big Data deluge.
- Everybody Can Enjoy the Benefits of Cloud-Based Data Ingestion by Steve Thompson discusses the benefits of Cloud-based Data Ingestion and introduces RCG|enable™ Data, a tool for simplifying cloud-based data ingestion.
- Enhance Your Big Data Marketing Analytics with a Hype-Free Approach by Damon Samuel contemplates the waning years of the last century, and the early years of this century, wherein Big Data has been endlessly hyped as the thing that would enable a new golden age of marketing.
- Is Domain Knowledge Needed for Data Science? by Ramesh Koovelimadhom shares the perspective that today’s massive data sets, along with the mathematical tools and computing power to crunch these numbers, challenge the old world paradigm of hypothesizing before modeling.
- Data Analytics: Art or Science by Nilesh Kulkarni observes that we use analytics to improve the quality of the decision-making process, and to shape business decisions and actions to best achieve organizational targets and asks, “But is this an art or science?”
Challenges and Approaches:
- Big Data Analytics: Information Management Challenges and Considerations by Sai Yammada is a short blog that summarizes, Sai’s video on the same topic where he illustrates the necessity of incorporating best practices as part of the data lake architecture before deciding upon technologies and tools.
- Don’t Implement a Data Lake Sandbox without a Strategy and Roadmap by Jeff Kish states that when building your roadmap, it is critical to focus on business capabilities (use cases) and to exercise caution in basing it solely on a technology.
- Big Data Governance Challenges by Ramesh Koovelimadhom posits that Big Data projects have all the traditional data management challenges, like the lack of a data governance strategy, but also add a few more.
- Health Plans: Get value from your data without Big Data (and get Big Data as a bonus) by Scott Chesney asks, “How should a health plan actually go about changing their business to meet the demands of the consumerization of care and the need to improve outcomes and cut costs?
- The Evolution of Cost-Effective, Efficient Distributed Computing Systems: Where We Stand Today by Paddy Krishnamoorthy compares YARN and Mesos and concludes that, together, they represent the current pinnacle of the evolution of distributed computing systems.
- Making Data Lakes Usable: Why we need a semantic layer – and why it should be open source by Rick Skriletz challenges The Apache Software Foundation to start a semantic layer for Hadoop project that will operationally integrate with Apache’s Hadoop-based data security and governance projects.
- How Big Data and the Check Engine Light Will Transform Healthcare by Robert Wolverton makes an argument for a human check engine light and posits that with the right tools, we can establish individual awareness enabling proactive health management that motivates the patient to take action. Empowering people to manage their own health, with a focus on preventing catastrophic events and effectively controlling chronic conditions, will transform healthcare.
- Big Data and Social Media Yields Voter Sentiment Snapshot of the U.S. Presidential Election by Shirley Santiago explains how Sentiment Analysis is used to better understand the minds of the U.S. voters before, during and after the Presidential Debates.
- Big Data, Hadoop Used to Accurately Analyze Voter Sentiment in the Philippines by Shirley Santiago explains how Sentiment Analysis is used to better understand the minds of the voters.