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Cloudera is packaging its distribution of the open-source Hadoop software with developer tools, technical support, training programs, and sales and marketing resources to make it easier for enterprises to adopt the technology, said Kirk Dunn, COO of the Palo Alto, Calif.-based company.

"We want to help data-driven enterprises who use data as a critical part of their business to use Hadoop," Dunn said.

The Apache Hadoop project is a framework for running applications on large clusters built using commodity hardware. Hadoop works by breaking an application into multiple small fragments of work, each of which may be executed or re-executed on any node in the cluster.

It includes the Hadoop Distributed File System (HDFS) for reliably storing and analyzing very large files across machines in a large cluster

While Hadoop is often tied with cloud technologies for analyzing large amounts of data, it is just as likely to be found in use by enterprises looking for ways to better manage their own data stores, Dunn said. For instance, he said, cloud providers like Yahoo, Amazon, and Twitter all use Hadoop internally for their own data.

"Enterprises don't have the volume of data that Web companies have," he said. "But Web companies don't have the diversity of data sources that enterprises have."

Cloudera has figured out how to package Hadoop for the enterprise, which Dunn said is no trivial matter. While Cloudera's Distribution including Apache Hadoop (CDH) is, like all open source software, available for downloading at no charge, the company is offering it as a package to hardware vendors, ISV, and systems integrators, he said.

Cloudera's new hardware partners include Dell, Cisco, Fujitsu, SGI, and Mellanox, while ISV partners include Informatica, Microstrategy, Teradata, and IBM. Cloudera will also offer its package to both regional or boutique integrators as well as larger, national integrators, Dunn said.

"We're creating an ecosystem where hardware and software vendors and system integrators can come together to look at how to use Hadoop to get better insights into data," he said. "We believe that if we can do that, we can enable Hadoop, which is already growing fast, to get even faster adoption."

Hadoop has received much industry support in the last few months especially as businesses grow more interested in new ways to handle "big data," or data which scales to multiple petabytes of capacity and is created or collected, is stored, and is collaborative in real time.

EMC in May unveiled plans to provide full open-source support for Hadoop with the eventual release of software, appliance, and eventually virtual appliance versions of the Hadoop technology in connection with technology it got with last year's Greenplum acquisition.

That same month, NetApp unveiled a new Hadoop storage appliance based on the E5400 storage subsystem it received with its acquisition of Engenio.

Startup server technology developer Calxeda in June unveiled a group of integrator and ISV partners are developing applications around its upcoming ARM processor-based, power-efficient server technology for use in such applications as Hadoop.

Data integration software vendor Informatica in June released a new version of its flagship product designed to handle the "big data" generated by today's transaction processing and social media systems which also supports Hadoop.

(TimeStopper69/Shutterstock)

The days of databases existing as islands unto themselves are over, according to Gartner, which reports the existence of a strong and growing signal for cloud databases to become part of “broader data ecosystems.” Last month, the analyst group rated the ecosystem participation of the top databases, and the results might surprise you.

In mid-December, Gartner released its 2023 Magic Quadrant for Cloud DBMS (CDBMS), which analyzed the market for transactional and analytical databases running in public and private clouds. Nineteen cloud DBMS vendors made the final cut for the quadrant, which was dominated by the likes of AWS, Microsoft Azure, Google Cloud, and Oracle.

A major trend identified by the Gartner analysts is the co-mingling of standard database features and capabilities with the features and capabilities offered in the broader market for data management tools, which have traditionally resided outside of the DBMS proper.

In the past, database customers usually turned to independent software vendors (ISVs) for data management functions like data lineage tracking, data governance, data integration/ETL, data quality, and data security. Many of these functions have been conglomerated into so-called data fabrics, which ensure a measure of repeatability and consistency in various data management processes.

2023 Magic Quadrant for Cloud DBMS (Source: Gartner)

But according to Gartner’s analysts, database vendors are now reaching out and working more closely with the data management ISVs, and vice versa. As the most important layer in the data stack, it’s great that databases are playing nicely (or playing nicer, anyway) with the array of other important data management products that companies must rely upon to get value from data while minimizing cost and risk.

While not all DBMS providers are working with ISVs in the same degree or manner, there’s a clear trend toward DBMSs playing in the data ecosystem, according to Gartner.

“Cloud DBMS systems are already beginning to be aware of, and collaborate with, the other data management components around them,” Gartner writes. “This does not mean that the cloud DBMS systems will subsume the functions of those other systems; rather, they will be aware of them and add more value by interoperating with them.”

There has been “a major improvement in capabilities” around Cloud DBMS participation in broader data ecosystem and “a conscious aim to interoperate with them,” Gartner says. “If anything, progress toward this is faster than expected, with many significant vendor announcements since last year’s cloud DBMS Magic Quadrant.”

The trend toward playing in data ecosystems is a broader one that is not isolated to cloud DBMSs or DBMSs in general (you’ll remember back in 2019, when Gartner predicted that the cloud would usurp the majority of the DBMS market, which is the process of happening–55% of DBMS spending was on the cloud in 2022, Gartner says, and the cloud accounted for 98% of all growth in the entire DBMS market).

Gartner says that by 2025, 90% of new data and analytics deployments “will be through an established data ecosystem, causing consolidation across the data and analytics market.” What’s more, it says that by the end of next year, 55% of IT buyers will have adopted a data ecosystem. “That will consolidate the vendor landscape by 40%, thereby reducing cost while reducing choice,” the analyst group says.

Data Ecosystem Ratings

Gartner gave higher marks to some cloud DBMSs for their participation in data ecosystems. While it didn’t specifically mention data ecosystem participation or interoperability in all 19 of the vendor profiles in its Magic Quadrant, it did for 10 of them. Here’s a summary of what it said for those 10:

Recent partnerships Alibaba Cloud made with ISVs like MongoDB, ClickHouse and PingCAP has demonstrated improvement in its cloud ecosystem, Gartner says. “This provides more choice in third-party D&A [data and analytics] solutions with less integration effort on Alibaba Cloud,” Gartner says in its Magic Quadrant, which featured Alibaba Cloud in the Leaders quadrant.

(NicoElNino/Shutterstock)

Gartner also discussed AWS’s movements toward a data ecosystem. It states that the cloud giant has the resources “to move toward a more integrated set of solutions, building on the work started with Amazon DataZone,” the data management service that went GA last October and which is composed of a data portal, a data catalog, data projects and environments, and a governance and access control layer. However, Gartner also cautioned about going with an all-AWS eco-system, which raises lock-in concerns.

Cloudera, which Gartner put in its Visionaries quadrant, received Excellent Marks for its data ecosystem work. “Cloudera continues to invest in its open-source leadership to drive innovation through the community with open standards in its data ecosystem delivering portable data and AI services across all cloud data architectures,” Gartner says. “With a centralized control plane across all clouds and on-premises, it delivers integrated security, metadata and governance with applied observability and an open data ecosystem.”

Gartner noted that ecosystems available through cloud providers are more “tightly integrated” and are “easier to use” than Cloudera’s. However, Cloudera’s dedication to multi-cloud and hybrid deployments, and ease of portability on workloads, “is an effective counterbalance to this competitive pressure that will require sustained effort to remain effective,” Gartner says.

Couchbase, which develops a NoSQL database used primarily for transactional and operational use cases, was lauded by Gartner for its capabilities in mobile and edge and for the ease of use of Capella, its managed database service. However, Couchbase’s ecosystem support is lacking, according to Gartner, which placed Couchbase in the Niche Players quadrant.

“Couchbase does not have a full-fledged capability to access data nor provide data to engines outside of the Couchbase world, although they are on its roadmap,” the analyst group says. “The ability to broadly interact with multiple engines across an ecosystem is driving increasing flexibility and efficiency in multiple use cases, most prominently analytics and AI. Other nonrelational products also have this limitation.”

(phipatbig/Shutterstock)

Databricks, which Gartner placed in the Leaders quadrant, received Excellent Marks for Unity Catalog, the company’s metadata catalog and governance hub for data that exists in Databricks as well as outside repositories. Gartner also lauded the data ecosystem bonafides of Delta Live Tables for its capability to simplify ETL pipeline development for streaming, batch, and AI workloads.

Gartner also had good things to say about the data ecosystem participation of Google Cloud, which also launched in the Leader quadrant. In particular, Gartner applauded Dataplex, its metadata/governance layer that enables a more integrated data ecosystem.

Microsoft, which landed in Gartner’s Leaders quadrant, also got Excellent Marks for its willingness to make its database more open and to work with other Microsoft products, including Microsoft 365, Power BI, and Purview but also with external solutions from ISVs.

“This enables a more consistent experience for its clients,” Gartner says. “At the same time, the ‘one lake’ direction in Microsoft Fabric brings more openness to data in non-Microsoft systems, which the potential to reduce its clients’ vendor lock-in concerns.” However, some Microsoft customers have expressed concern about the complexity of Microsoft DBMSs ecosystem capabilities , which hurt performance, security, and cost control, Gartner says.

SAP, a Visionary in Gartner’s Magic Quadrant, was lauded for its capability to run operational and analytical workloads in the same HANA database. Gartner also liked SAP Datasphere’s capability to unify SAP and non-SAP data in an ecosystem play.

“SAP is now much more open in its ability to import and export data between SAP and non-SAP environments via file exchange, replication and federation,” Gartner says. However, few non-SAP customers are going to use SAP to manage data, the analyst group says. And Datasphere is likely to be used by customers with “a significant SAP technology presence.”

Snowflake, which develops an analytical data warehouse and is in the Leaders quadrant, also got a nod from Gartner for its “robust” ecosystem capabilities. “Snowflake promotes the philosophy of an easy-to-use integrated solution complemented by a robust data-sharing and data marketplace story,” Gartner says.

Teradata is another data warehouse provider playing in the data ecosystem. Gartner, which put Teradata in the Visionary quadrant, likes Teradata’s QueryGrid functionality, which “implements access to data outside of Teradata efficiently by intelligently pushing down processing where appropriate, offloading cycles from the Teradata machine, and reducing the amount of data that has to be returned to Teradata,” Gartner says.

Cloud DBMSs obviously have capabilities beyond their integration with third-party data management tools and broader data ecosystems. But as Gartner has shown, the ecosystem grade of a database is becoming a more important consideration for database buyers.

Databricks is offering a get for the full 2023 Gartner Magic Quadrant for CDBMS. You can access it here.

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• Demand for open source developers with container expertise is soaring, with 57% of hiring managers prioritizing this expertise in 2018, up from 27% last year.
• Hiring managers are choosing to invest in and scale up new hires and existing employees by investing in training versus spending on external consultants.
• Be active in the open source community and contribute the highest quality code and content possible.

The 2018 Open Source Jobs Report published by The Linux Foundation and Dice.com provides many useful insights into which skills are the most marketable, the technologies most affecting hiring decisions, and which incentives are most effective for retaining open source talent. Taken together the many insights in the study provide a useful roadmap for recently-graduated students and experienced open source, developers, and technical professionals. The study is based on a survey of over 750 hiring managers representing a cross-section of corporations, small & medium businesses (SMBs), government agencies and staffing firms worldwide in addition to 6,500 open source professionals. Additional details regarding the methodology can be found in the report downloadable here (PDF, 14 pp., opt-in).  The following findings show how strong demand is for developers with open source expertise and which skills are in the most demand.

• The number of hiring managers seeking Linux talent soared in 2018 to 80% up from 65% in 2017, making this the most in-demand open source skill. Cloud technology experts are the second most in demand at 64%, followed by security and web technologies (49% each). Networking (46%) and containers (44%) are the six areas managers are prioritizing in their recruiting and hiring. Six in ten (62%) of open source professionals rank containers as the fastest growing area of 2018. 48% of open source developers believe Artificial intelligence and machine learning is growing the fastest followed by security (43%).

• Knowledge of cloud, container and security technologies most affect who gets an offer according to hiring managers. Having deep expertise in Linux in addition to experience working with cloud, containers, security, and networking is an effective career strategy for getting an open source developer job and progressing in a technical career. 66% of hiring managers cited cloud computing as the technology that most affects their hiring decisions, followed by containers (57%), security (49%) and networking (47%).

• Hiring managers are choosing to invest in and scale up new hires and existing employees by investing in training versus spending on external consultants.  55% of employers are now also offering to pay for employee certifications, up from 47% in 2017 and only 34% in 2016. Global Knowledge recently completed a study of which certifications are the most valuable, and they are summarized in the post, 15 Top Paying Certifications For 2018.  55% of employers are willing to pay for certifications today, up from 47% last year and 34% in 2016. 42% are using training as an incentive to retain employees, up from 33% last year and 26% in 2016.

• Despite employers prioritizing pay to recruit open source developers, 65% are in the field to work with new technologies, 64% for the freedom of open source and 62% because they have a passion for the field. Open source developers who are the most likely to find a new job translate their passion for the field into shareable code and content. Getting a dream job as an open source developer starts by becoming part of the community and actively contributing as much as you can. Creating and sharing open source code via GitHub and other means, blogging and sharing what you’ve learned is a great way to stand out from other applicants. I recently had lunch with a good friend who is looking for an open source developer job and this person’s GitHub is getting a ton of downloads from a exact open source app written for data visualization. And a presentation given at a exact conference is leading to interview opportunities. The open source community is very reciprocal, and it’s a great idea to share the highest quality code and content there, and can lead to job interviews.
• Open source skills are lucrative, and in high demand, with 87% of open source developers crediting their expertise and continual learning of new apps, languages, and tools as the reason they are advancing in their careers. 52% of hiring managers say they will hire more open source professionals in the next six months than they did in the previous six months, crediting their company’s growth as a result of a strong national & global economy. 60% of hiring managers say the number of available positions for open source developers in increasing at a faster pace than overall open positions. The market value of DevOps skills grew an average 7.1% during the past six months according to analyst firm Foote Partners.
• There’s an 18% gap between what employees say is progress on diversity versus employers. Only 52% of open source developers say the level of effort at attaining greater diversity is effective versus 70% of employers. Employers need to consider how they can use advanced hiring systems beyond Applicant Tracking Systems (ATS) to get beyond the potential for conscious and unconscious bias in hiring decisions. A previous post, How to Close The Talent Gap With Machine Learning, provides insights into how employers can remove biases from hiring decisions and evaluate candidates on talent alone.

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Lainie Petersen writes about business, real estate and personal finance, drawing on 25 years experience in publishing and education. Petersen's work appears in Money Crashers, Selling to the Masses, and in Walmart News Now, a blog for Walmart suppliers. She holds a master's degree in library science from Dominican University.

ChatGPT has been found to have shared inaccurate information regarding drug usage, according to new research.

In a study led by Long Island University (LIU) in Brooklyn, New York, nearly 75% of drug-related, pharmacist-reviewed responses from the generative AI chatbot were found to be incomplete or wrong.

In some cases, ChatGPT, which was developed by OpenAI in San Francisco and released in late 2022, provided "inaccurate responses that could endanger patients," the American Society of Health System Pharmacists (ASHP), headquartered in Bethesda, Maryland, stated in a press release.

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ChatGPT also generated "fake citations" when asked to cite references to support some responses, the same study also found.

Along with her team, lead study author Sara Grossman, PharmD, associate professor of pharmacy practice at LIU, asked the AI chatbot actual questions that were originally posed to LIU’s College of Pharmacy drug information service between 2022 and 2023.

Of the 39 questions posed to ChatGPT, only 10 responses were deemed "satisfactory," according to the research team's criteria.

The study findings were presented at ASHP’s Midyear Clinical Meeting from Dec. 3 to Dec. 7 in Anaheim, California.

Grossman, the lead author, shared her initial reaction to the study's findings with Fox News Digital.

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Since "we had not used ChatGPT previously, we were surprised by ChatGPT’s ability to provide quite a bit of background information about the medication and/or disease state relevant to the question within a matter of seconds," she said via email. 

"Despite that, ChatGPT did not generate accurate and/or complete responses that directly addressed most questions."

Grossman also mentioned her surprise that ChatGPT was able to generate "fabricated references to support the information provided."

In one example she cited from the study, ChatGPT was asked if "a drug interaction exists between Paxlovid, an antiviral medication used as a treatment for COVID-19, and verapamil, a medication used to lower blood pressure."

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The AI model responded that no interactions had been reported with this combination.

But in reality, Grossman said, the two drugs pose a potential threat of "excessive lowering of blood pressure" when combined.

"Without knowledge of this interaction, a patient may suffer from an unwanted and preventable side effect," she warned.

"It is always important to consult with health care professionals before using information that is generated by computers."

ChatGPT should not be considered an "authoritative source of medication-related information," Grossman emphasized.

"Anyone who uses ChatGPT should make sure to verify information obtained from trusted sources — namely pharmacists, physicians or other health care providers," Grossman added.

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The LIU study did not evaluate the responses of other generative AI platforms, Grossman pointed out — so there isn’t any data on how other AI models would perform under the same condition.

"Regardless, it is always important to consult with health care professionals before using information that is generated by computers, which are not familiar with a patient’s specific needs," she said.

Usage policy by ChatGPT

Fox News Digital reached out to OpenAI, the developer of ChatGPT, for comment on the new study.

OpenAI has a usage policy that disallows use for medical instruction, a company spokesperson previously told Fox News Digital in a statement.

"OpenAI’s models are not fine-tuned to provide medical information. You should never use our models to provide diagnostic or treatment services for serious medical conditions," the company spokesperson stated earlier this year. 

"OpenAI’s platforms should not be used to triage or manage life-threatening issues that need immediate attention."

Health care providers "must provide a disclaimer to users informing them that AI is being used and of its potential limitations." 

The company also requires that when using ChatGPT to interface with patients, health care providers "must provide a disclaimer to users informing them that AI is being used and of its potential limitations." 

In addition, as Fox News Digital previously noted, one big caveat is that ChatGPT’s source of data is the internet — and there is plenty of misinformation on the web, as most people are aware. 

That’s why the chatbot’s responses, however convincing they may sound, should always be vetted by a doctor.

Additionally, ChatGPT was only "trained" on data up to September 2021, according to multiple sources. While it can increase its knowledge over time, it has limitations in terms of serving up more exact information.

Last month, CEO Sam Altman reportedly announced that OpenAI's ChatGPT had gotten an upgrade — and would soon be trained on data up to April 2023.

‘Innovative potential’

Dr. Harvey Castro, a Dallas, Texas-based board-certified emergency medicine physician and national speaker on AI in health care, weighed in on the "innovative potential" that ChatGPT offers in the medical arena.

"For general inquiries, ChatGPT can provide quick, accessible information, potentially reducing the workload on health care professionals," he told Fox News Digital.

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"ChatGPT's machine learning algorithms allow it to Strengthen over time, especially with proper reinforcement learning mechanisms," he also said.

ChatGPT’s recently reported response inaccuracies, however, pose a "critical issue" with the program, the AI expert pointed out.

"This is particularly concerning in high-stakes fields like medicine," Castro said.

Another potential risk is that ChatGPT has been shown to "hallucinate" information — meaning it might generate plausible but false or unverified content, Castro warned. 

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"This is dangerous in medical settings where accuracy is paramount," said Castro.

"While ChatGPT shows promise in health care, its current limitations … underscore the need for cautious implementation."

AI "currently lacks the deep, nuanced understanding of medical contexts" possessed by human health care professionals, Castro added.

"While ChatGPT shows promise in health care, its current limitations, particularly in handling drug-related queries, underscore the need for cautious implementation."

Speaking as an ER physician and AI health care consultant, Castro emphasized the "invaluable" role that medical professionals have in "guiding and critiquing this evolving technology."

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"Human oversight remains indispensable, ensuring that AI tools like ChatGPT are used as supplements rather than replacements for professional medical judgment," Castro added.

Melissa Rudy of Fox News Digital contributed reporting. 

For more Health articles, visit www.foxnews.com/health.

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