Dan DeMers of Cinchy.com joins host Jeff Doolittle for a conversation about data collaboration and dataware. Dataware platforms leverage an operational data fabric to liberate data from apps and other silos and connect it together in real-time data networks. They explore a range of key topics, including zero-copy integration, encapsulation and information hiding, handling changes to data models over time, and latency and access issues. The discussion also explores dataware management and security concerns, as well as the concept of 'data plasticity' as an analogy to neuroplasticity, which is where the nervous system can respond to stimuli such as injuries by reorganizing its structure, functions, or connections.

Jaxon Repp of HarperDB speaks with Brijesh Ammanath about distributed data infrastructure, including what it is and why it's important. They discuss the key factors that make distributed data infrastructure attractive, as well as challenges to implementing it. The episode explores the architecture and design principles, the key security considerations, and the transition factors for distributed data Infrastructure. Brought to you by IEEE Computer Society and IEEE Software.

Yingjun Wu, founder of RisingWave Labs and previously a software engineer at Amazon Web Services and researcher at IBM Almaden Research Center, speaks with SE Radio host Brijesh Ammanath about streaming databases. After considering the benefits and unique challenges, they delve into the architecture and design patterns of streaming databases, as well as the evolution and security considerations. Yingjun also talks about the future of streaming databases, including the potential impact that Amazon S3 Express One Zone will have on the streaming landscape, and how the unified batch and streaming might evolve in the database world. Brought to you by IEEE Computer Society and IEEE Software magazine.

Catherine Nelson, author of the new O’Reilly book, Software Engineering for Data Scientists, discusses the collaboration between data scientists and software engineers -- an increasingly common pairing on machine learning and AI projects. Host Philip Winston speaks with Nelson about the role of a data scientist, the difference between running experiments in notebooks and building an automated pipeline for production, machine learning vs. AI, the typical pipeline steps for machine learning, and the role of software engineering in data science. Brought to you by IEEE Computer Society and IEEE Software magazine.

"It's not just Intel chips that are vulnerable to hard-to-fix security flaws. Researchers at the Graz University of Technology have detailed a pair of side channel attacks under the "Take A Way" name that can leak data from AMD processors dating back to 2011, whether it's an old Athlon 64 X2, a Ryzen 7 or a Threadripper. Both exploit the "way predi... [PCSTATS]

The ADATA SE800 is an NVMe based external SSD, which means it offers much better performance than earlier external storage. In our testing we saw speeds up to 1 GB/s, that, paired with 1 TB capacity on the SE800 make it an excellent choice if you want to move a lot of data around.... [PCSTATS]

While Project 2025 would stymy climate data collection, a network of grassroots volunteers are braving hurricanes—including Milton and Helene—to collect and share local data that can ultimately save lives.

Birth workers serving Black pregnant people maintain the holistic methods—and data privacy—that distinguish doula care from the medical-industrial complex.

Melanie Green is currently Sr. Director of Power Generation at CPS Energy in San Antonio, Texas.

After we changed everyone's passwords a couple of weeks ago, people were asking some questions about passwords and personal data.  Firstly, we don't hold much personal data- as people have usernames, we don't know real names. We do ask for the year and date of birth to comply with the Children's Online Privacy Protection Act (COPPA). We ask for an active email account and send a link that has to be clicked on to complete the registration. This is to make it harder for automated registration by advertisers and spammers. We also ask where you're from, where you are based now and what your first language is. There are also optional fields where people can add biographical information and interests if they wish. Unless you use your real name as a username or connect via Facebook, the data is anonymous. If an acount is deleted, this information is deleted from our records.

Choosing the power of a static UPS system serving a data center is a decision that involves various elements and which cannot be made before, or independently from, the choice of distribution scheme. The main elements to consider can be summarised... Read more

The post Sizing a Static UPS System In Data Center appeared first on EEP - Electrical Engineering Portal.

Lighting is defined as emergency lighting when it is intended for operation when standard lighting fails. Emergency lighting must be powered by an independent energy source (typically a central power supply system) and is classified by the UNI EN 1838 standard... Read more

The post Emergency Lighting Power Supply in Data Center appeared first on EEP - Electrical Engineering Portal.

This technical article provides a top-to-bottom overview of Sun Microsystems’s Santa Clara, California datacenter from electrical design aspect. Sun’s electrical design tour of Santa Clara datacenter is done through a series of single line diagrams. These diagrams illustrate the various components... Read more

The post Electrical Design Project Of Sun’s Datacenter In Santa Clara, California appeared first on EEP - Electrical Engineering Portal.

Let’s start with basics you probably already know, but nevertheless. It’s important to explain the basics first. Electrostatic Discharge (or ESD) refers to the transfer of electrostatic charge between bodies at varied voltages that is caused by direct contact or... Read more

The post Never underestimate electrostatic discharge (ESD) while working with data networking equipment appeared first on EEP - Electrical Engineering Portal.

A few years ago I participated in an interesting project Telenor Data Center in Belgrade – The most advanced technical building in the region of Central and Eastern Europe. The building extends to 2,600 square meters and has the most... Read more

The post Eight substation equipment needed to power up data center appeared first on EEP - Electrical Engineering Portal.

The first choice for service and distribution voltage is almost always 480 volts. Why is that? Well, it’s because it’s traditional, it has a safe design and specifications are already written around 480 V. UPS and backup aggregate equipment are... Read more

The post How to design the power supply for data centres and airports while megawatts of loads rise fast appeared first on EEP - Electrical Engineering Portal.

Professor Zhu Feida The global personal data economy is growing faster than anyone could have imagined. The current business model for data is broken – for individual users and businesses alike. On one hand, users don not have enough control over their own data, such as what data is collected and how the data is used. That challenges their privacy. Users are also not fairly rewarded for their data. On the other hand, while most businesses see the value of customer data, the data they have is fragmented and incomplete. That results in blurry customer profiles, inaccurate insights and poor recommendations. Furthermore, it is difficult for businesses to connect with their customers in a personalised way and track the effectiveness of the connection. In this podcast, Associate Professor Zhu Feida from SMU School of Information Systems shares his research on a next-generation, blockchain-based platform named Symphony. The platform seeks to empower a personal data economy by democratising and personalising data intelligence, with privacy by design.

Data has emerged as the most important driver for modern economic development. New industries have arisen from the use of data with personal information as the core asset, while many traditional models of business are ‘disrupted’ or drastically transformed. Artificial Intelligence (A.I.) has also become an integral tool for the management and processing of data, including personal data, as it provides greater accuracy and capability. How should the use of A.I. in data management be regulated and should it be treated any differently under the data protection regime? What role can A.I. play in regulating the use of personal data and as a cybersecurity tool? Is creating a form of propertisation of personal data and ‘data ownership’ useful? These are just some of the lingering questions that regulators and organisations are currently grappling with. Central to the issue is how A.I. can best serve and safeguard humanity’s interests. Warren Chik is Associate Professor of Law at SMU School of Law, and concurrently Deputy Director at SMU’s Centre for AI and Data Governance. In this podcast, he shares his recent research into Artificial Intelligence and Data Protection in Singapore, which takes a deeper look into consumers’ trust, organisational security and government regulation.

We are pleased to announce the approval of three updated position statements that will help shape the future of climate action, science communication and data sharing. AGU position statements—created, revised and approved by members with feedback and support from experts in related fields—are what enable AGU to take adaptive stances on significant policy issues ranging from climate change to national security. These statements, which are updated in a recurring four-year …

The post AGU Updates Critical Position Statements on Climate, Communications and Data appeared first on AGU Blogosphere.

Some big tests are on the horizon in the area of pharmaceutical tracking as new requirements of the Drug Supply Chain Security Act (DSCSA) take effect.

The International Classification of adult underweight, overweight and obesity according to BMI.

The packaging solutions will be on display at Pack Expo Las Vegas Booth N-10942, September 11-13. 

A note via Bank of America economists on expectations and wariness on US October CPI data due Wednesday at 8.30 am US Eastern time.

BoA expect core CPI to show an increase of 0.3% m/m month

• holding at 3.3% y/y
• would be the third consecutive month with a 3.3% core reading

BoA say that looking ahead, the rise is inflation tilted to the upside:

• "We see pro-growth fiscal policy, tariffs, and tighter immigration as potential sources of upside inflation risk over the coming years if they are implemented"

Higher inflation to come would slow/halt/reverse (you can pick more than one ;-)) Federal Reserve rate cuts.

CPI data from the US due today, Wednesday, November 13, 2024.

Greg popped up a preview earlier:

• US CPI to be released tomorrow at 8:30 AM. Expectations are for 0.2% MoM

In a recent note, BMO previewed the data also. Analysts at the bank suggest that any significant influence from recent storms on inflation data is likely limited, meaning market reactions to any deviation in core inflation—either upward or downward—may be pronounced.

The consensus forecast calls for a steady +0.3% rise in core CPI for the month, with expectations leaning toward a possible upside surprise.

A +0.4% reading or higher would make waves, particularly against the backdrop of the recent election results. The logic suggests that if inflation was already ticking up before the GOP’s victory, the added impact of tariffs and potential trade conflicts could fuel further inflationary momentum. However, BMO analysts also point out that while targeted tariffs may not universally drive up prices, this assumption currently shapes US rates market sentiment. With this market outlook in mind, BMO expects that an upside surprise in October’s inflation numbers could have a meaningful impact on yields, increasing their upward trajectory.

At present, actual inflation data is seen as the most direct factor that could push 10-year yields beyond the 4.50% threshold. A softer-than-expected core CPI reading could trigger a rally in the Treasury market, though there appears to be a limit to how much the market will temper expectations for inflation following Trump’s victory. Instead, BMO anticipates the market will continue to define a trading range in this post-election landscape, characterized by a mix of cautious optimism and prevailing skepticism.

Australia data - Wage Price Index for Q3 2024:

+0.8% q/q for the third consecutive quarter

• expected +0.9%, prior +0.8%
• Both the private sector and the public sector rose 0.8%, seasonally adjusted, for the quarter.

+3.5% y/y, lowest annual rise for the series since December quarter 2022 and followed four consecutive quarters of annual wage growth equal to or above 4%.

• expected +3.6%, prior +4.1%

---

The Australian Bureau of Statistics (ABS) publishes the Wage Price Index (WPI) quarterly, measuring changes in the price of labor, unaffected by shifts in workforce composition, hours worked, or employee characteristics.

The ABS provides detailed WPI data, including breakdowns by industry and sector, offering insights into wage trends across Australia's economy.

Later today, Wednesday, 13 November, we get the US consumer inflation data for October 2024

• due at 1330 GMT, which is 0830 US Eastern time

Previews posted already:

• US CPI to be released tomorrow at 8:30 AM. Expectations are for 0.2% MoM

• US CPI data due Wednesday - possible upside surprise.
• US inflation data this week expected to show core CPI moving sideways - risk ahead higher

OK, what to expect. This snapshot from the ForexLive economic data calendar, access it here.

Taking a look at the range of expectations compared to the median consensus (the 'expected' in the screenshot above) for the key data points:

CPI Headline y/y, expected 2.6% with the range showing:

• 2.3% - 2.7%

CPI Headline m/m expected 0.2% with the range showing:

• 0.1 to 0.3%

CPI excluding food and energy (the core rate of inflation) y/y expected 3.3% with the range showing:

• 3.2 - 3.4%

CPI excluding food and energy (the core rate of inflation) m/m expected 0.3% with the range showing:

• 0.2 to 0.4%

***

Why is knowledge of such ranges important?

Data results that fall outside of market low and high expectations tend to move markets more significantly for several reasons:

• Surprise Factor: Markets often price in expectations based on forecasts and previous trends. When data significantly deviates from these expectations, it creates a surprise effect. This can lead to rapid revaluation of assets as investors and traders reassess their positions based on the new information.

• Psychological Impact: Investors and traders are influenced by psychological factors. Extreme data points can evoke strong emotional reactions, leading to overreactions in the market. This can amplify market movements, especially in the short term.

• Risk Reassessment: Unexpected data can lead to a reassessment of risk. If data significantly underperforms or outperforms expectations, it can change the perceived risk of certain investments. For instance, better-than-expected economic data may reduce the perceived risk of investing in equities, leading to a market rally.

• Triggering of Automated Trading: In today’s markets, a significant portion of trading is done by algorithms. These automated systems often have pre-set conditions or thresholds that, when triggered by unexpected data, can lead to large-scale buying or selling.

• Impact on Monetary and Fiscal Policies: Data that is significantly off from expectations can influence the policies of central banks and governments. For example, in the case of the inflation data due today, weaker than expected will fuel speculation of nearer and larger Federal Open Market Committee (FOMC) rate cuts. A stronger (i.e. higher) CPI report will diminish such expectations. the December meeting is in focus right now.

• Liquidity and Market Depth: In some cases, extreme data points can affect market liquidity. If the data is unexpected enough, it might lead to a temporary imbalance in buyers and sellers, causing larger market moves until a new equilibrium is found.

• Chain Reactions and Correlations: Financial markets are interconnected. A significant move in one market or asset class due to unexpected data can lead to correlated moves in other markets, amplifying the overall market impact.

• Fed speakers on energy, the economy, and maybe policy due on Wednesday
• US CPI data due Wednesday, the ranges of estimates (& why they're crucial to know)
• AUD traders heads up - Reserve Bank of Australia Governor Bullock speaks Thursday
• The argument for a near-term Reserve Bank of Australia interest rate cut remains very thin
• Japan's Seven & i Holdings is considering a management buyout
• Bank of England Monetary Policy Committee member Catherine Mann speaking Wednesday
• Australia - "Wage inflation is moderating as expected"
• PBoC promised stronger damping to support CNY, and that's what are seeing
• PBOC sets USD/ CNY mid-point today at 7.1991 (vs. estimate at 7.2305)
• Dogecoin catches a bid on Trump's new DOGE department headed by Musk
• Trump names Elon Musk, Vivek Ramaswamy to lead Department of Government Efficiency (DOGE)
• Australia data - Wage Price Index for Q3 2024: +0.8% q/q (expected +0.9%, prior +0.8%)
• Japan PPI (October) +0.2% m/m (expected 0%) and +3.4% y/y (expected +3.0%)
• Barclays on oil - current market dynamics relatively stable, doesn't foresee major shifts
• ECB Interest Rate Forecast: Deutsche Bank's 7 reasons for projecting a lower terminal rate
• BoA expect a 4% EPS benefit for S&P 500 equites from Trump corporate tax cuts
• US CPI data due Wednesday - possible upside surprise.
• Green shoots in China? Excavator sales grew 15% in October
• Forexlive Americas FX news wrap 12 Nov: Bitcoin hits $90K. Stocks fall. USD moves higher.
• NY Fed Perli says there's been more friction in money mkts lately, repo rate rise orderly
• Amazon’s Bezos sells US$1.25bn of shares
• US indices close lower on the day. No new records today.
• Bitcoin trades above $90,000 for the first time. It broke the $80,000 level on Monday
• Trade ideas thread - Wednesday, 13 November, insightful charts, technical analysis, ideas

Small ranges prevailed during Asia time with many traders content to wait until the US inflation data later.

• US CPI data due Wednesday, the ranges of estimates (& why they're crucial to know)

Data events during the session here were lower-tier. We had PPI data from Japan coming in higher than expected. Renewed yen weakness pushed up import costs for some goods. At the margin, an argument can be made that the data was supportive of a nearer-term Bank of Japan rate hike. Against this is, of course, is the new political pressure on the Bank to not hike until wages are seen rising at the next round of wage negotiations in (Japan's) spring. Many months away. The Bank of Japan next meet on December 18 - 19.

USD/JPY moved a little higher, but didn’t get to 155.00. As I post its around the middle of its session range circa 154.80.

Data from Australia showed wage growth moderating a little. This is not sufficient for the Reserve Bank of Australia to cut its cash rate any time soon. The next meeting is December 9 – 10, and then in February (17 – 18).

Earlier this week People’s Bank of China Governor Pan Gongsheng emphasized that the Bank will not let the yuan plummet without a fight:

• Will step up countercyclical adjustment
• Should resolutely guard against the risk of exchange rate overshoot

Today the Bank set the USD/CNY reference rate more than 300 points lower than model estimates (ie a stronger yuan). The Bank delivered on its word to support the yuan. Offshore yuan has jumped (lower USD/CNH).

Bitcoin sat near US$88K.

Washington, D.C. -- The broadcast television and radio industry would lose $2.1 billion in digital advertising revenue annually, representing 6.3% of the industry’s total advertising revenue, if third-party cookies were eliminated today with no privacy-preserving alternatives, according to a new study released today by Borrell Associates. Borrell Associates President Jim Brown presented the study, commissioned the National Association of Broadcasters' (NAB) innovation wing PILOT, at NAB Show New York.

LAS VEGAS, Nev. -- NAB Show today announced that a new report from the North American Broadcasters Association (NABA) on hybrid radio, metadata and service providers will be unveiled during the Broadcast Engineering and IT Conference (BEITC) session "Broadcasters and Hybrid Radio – It's All About the Metadata" on April 16 at 10 a.m. An expert panel will discuss the report, "Insights on Hybrid Radio and Metadata for Broadcasters," as well as the changing automotive media and entertainment landscape and the service providers helping broadcasters create a great media experience with metadata in the car.

What is Big Data, really, and why does it matter? A conversation with experts Jean-Pierre Dijks and Andrew Bond.

What new challenges does Big Data present for Architects? What do architects need to do to prepare themselves and their organizations?

Which stakeholders are driving the adoption of Big Data strategies in organizations, and why?

A community panel of Oracle Data Integrator experts discusses ODI's flexibility as it relates to meeting the challenges of data warehousing.

A panel of data warehousing experts and community leaders discusses how data warehousing is changing -- and the forces driving that change.

Four ODI experts discuss the core skills for effective data integration and what they've done to keep their skills relevant.

What distinguishes an architecture that is ready for Big Data from one that is not? What are some of the typical mistakes organizations make as they take their first steps toward big data?

Big data experts discuss how Oracle Database fits into a Big Data Architecture, and share insight on a persistent problem in technology adoption.

There's big, and then there's BIG. Experts discuss the challenges of keeping up with coming data explosion.

The conversation by this panel of business intelligence experts turns to Oracle 12c and enterprise performance management.

A panel of business intelligence experts sits down for a wide-ranging and candid discussion of Oracle Data Integrator.

The panel closes out the conversation with a look at the evolution of data integration tools.

Five business intelligence experts discuss migration from Oracle Warehouse Builder to Oracle Data Integrator.

American inventor Thomas Edison, once said, “Hell, there are no rules here. We're trying to accomplish something.” What we hope to accomplish with this episode of the Groundbreaker Podcast is an exploration of the idea that the evolution in today’s architectures makes it advantageous, perhaps even necessary, to challenge some long-established concepts that have achieved “golden rule” status as they apply to the use of databases.

View the complete show notes.

In this program Suhas Uliyar (Vice President of Mobile Strategy Product Management for Oracle) and Mark Johnson (Chief AI Scientist, Oracle Digital Assistant product team) discuss artificial intelligence, what’s new in the Oracle Digital Assistant platform, and why data is the new oil.

In this Oracle Groundbreakers Podcast Extra guest host Alexa Weber Morales interviews Oracle Database master product manager Maria Colgan about new product features that allow developers, data scientists, and non-traditional database users to help themselves.

See the complete show notes.

Jim Grisanzio talks with Jeff Smith about some interesting features that have been emerging in the Oracle Database recently, such as an integrated development environment in the console for rapidly building RESTful Web Services. And many other tools for developers, of course.

The two also talk about how much Jeff and his colleagues interact with the developer community, which is substantial. Jeff's been involved with database technology, developer communities, and enterprise customers for two decades now. He's has many fascinating stories to tell. 

• Jeff Smith, Distinguished Product Manager, Oracle Database

Podcast Host: Jim Grisanzio, Oracle Developer Relations
https://twitter.com/jimgris
https://developer.oracle.com/team/ 

Jim Grisanzio talks with Sandesh Rao about Artificial Intelligence and Machine Learning, the latest technologies from Oracle in the AIOps space, how Sandesh manages teams, how he deals with change, and how industry trends are changing everything.

• Sandesh Rao, Oracle VP, AIOps

Podcast Host: Jim Grisanzio, Oracle Developer Relations
https://twitter.com/jimgris
https://developer.oracle.com/team/ 

Science Shock: U.K. Met Office is “Inventing” Temperature Data from 100 Non-Existent Stations by Chris Morrison Shocking evidence has emerged that points to the U.K. Met Office inventing temperature data from over 100 non-existent weather stations. The explosive allegations have been made by citizen journalist Ray Sanders and sent to the new Labour Science Minister Peter Kyle MP. […]

This 3D printing podcast asks: What is the best way to protect my 3D Printing Data? This is the type of work the 3D Printing Association deals with every day.