There’s been some speculation in the market that Hadoop may be disappearing. Some of this speculation has been driven by vendors that have recently downplayed Hadoop in their marketing efforts. For example, the Strata+Hadoop World conference is now known as the Strata Data Conference. The Hadoop Summit is now known as the Dataworks Summit. In Cloudera’s S-1 filing with the SEC for its initial public offering, the term “Hadoop” appears only 14 times, while the term “machine learning” appears 83...
Read More
Topics:
Big Data,
Analytics,
Hadoop,
data lakes
Recently Hortonworksannounced some significant additions to its products at the DataWorks Summit. These additions reflect the fact that the big data market continues to evolve, as I have previouslywritten.
Read More
Topics:
Big Data,
Machine Learning,
Analytics,
Hadoop
Many organizations continue to struggle with preparing data for use in operational and analytical processes. We see these issues reported in our Data and Analytics in the Cloud benchmark research, where 55 percent of organizations identify data preparation as the most time-consuming task in their analytical processes. Similarly, in our Next-Generation Predictive Analytics research, 62 percent of companies report that they’re unsatisfied because data needed for access or integration is not...
Read More
Topics:
Big Data,
Analytics,
Collaboration,
Data Preparation,
Datawatch
This is my second analyst perspective based on ourIoT Benchmark Research. In thefirst, I discussed the business focus of IoT applications and some of the challenges organizations are facing. Now I’ll share some of the findings about technologies used in IoT applications and the impact those technologies appear to have on the success of users’ projects.
Read More
Topics:
Big Data,
Analytics,
Business Intelligence,
IOT,
NoSQL
This year various types of organizations are embracing machine learning like it is going out of style – or maybe it would be better to say coming into style. And now with a little investigation on LinkedIn finds over half million professionals with machine learning in their job title. Machine learning is the application of specific data science algorithms that become more accurate as the system records more outcomes and processes more data. This improvement is referred to as “learning,” hence...
Read More
Topics:
Big Data,
Data Science,
Analytics,
Business Intelligence,
Cloud Computing,
Machine Learning and Cognitive Computing,
Machine Learning Digital Technology
Informatica reintroduced itself to the world at its recent customer conference, Informatica World, in San Francisco. The company took advantage of the event to showcase its new branding in an effort to change the way customers think about the company. Informatica has been providing information services in the cloud for more than a decade. Even though cloud revenue comprises a minority of Informatica’s business, in absolute terms, the revenue is significant, and company executives want the...
Read More
Topics:
Big Data,
Data Science,
Analytics,
Business Intelligence,
Cloud Computing,
Data Governance,
Data Integration,
Data Preparation,
Information Optimization,
Machine Learning and Cognitive Computing,
Machine Learning Digital Technology
I recently attended the MicroStrategy World conference, which was held in Washington, D.C. and it celebrate its 20th anniversary, which is why MicroStrategy hosted the event near its headquarters. Over the past 20 years, the market and technology for business intelligence and analytics have significantly changed, and in several changes, MicroStrategy has been at the forefront. Now is a good time to examine the company’s position in the market and its latest offerings in context of the analytics...
Read More
Topics:
Big Data,
Mobile Technology,
Analytics,
Business Intelligence,
Digital Technology
Some 3,000 people attended Domo’s recent customer event, called Domopalooza. That’s nearly double the attendance of the previous event, which my colleague Mark Smith covered. Formerly a bit “stealthy,” Domo has started sharing more information, some of which I’ll pass along, as well as observations about product announcements made at the event.
Read More
Topics:
Big Data,
Data Science,
Mobile,
Mobile Technology,
Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Machine Learning and Cognitive Computing,
Machine Learning Digital Technology
I recently attended SAS Institute’s analyst relations conference. There the company provided updates on its financial performance and its Viya platform and a glimpse into some of its future plans.
Read More
Topics:
Big Data,
Data Science,
Mobile Technology,
business intelligence,
Analytics,
Cloud Computing,
Collaboration,
Data Governance,
Data Integration,
Data Preparation,
Internet of Things,
Information Optimization,
Machine Learning and Cognitive Computing,
Machine Learning Digital Technology
The Internet of Things (IoT) is a technology that extends digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This advance enables virtually any device to transmit its data, to which analytics can then be applied to facilitate monitoring and a range of operational functions. IoT can deliver value in several ways. It can provide organizations with more complete data about their operations, which helps them improve efficiencies and so reduce...
Read More
Topics:
Big Data,
Wearable Computing,
Analytics,
Internet of Things,
Digital Technology