Latest news with #ETL
India.com
4 days ago
- Business
- India.com
Reimagining Transaction Intelligence: How Chandrashekar Althati's Innovations Are Shaping Modern Data Platforms
Today's world is driven by digital transactions, organizations are under constant pressure to manage risk, understand customer behavior, and ensure compliance. Earlier, rule-based transaction monitoring systems fell short when faced with evolving patterns of fraud and increasingly complex regulatory demands. The need for intelligent, scalable, and real-time classification systems has never been greater. This is where Chandrashekar Althati's contributions to data architecture and machine learning step in. One such notable innovation is the U.S. patent US8965820B2, titled 'Multivariate Transaction Classification,' co-invented by Chandrashekar Althati during his tenure at SAP. This patent introduced a methodology to classify transactions using a multivariate approach powered by machine learning and an innovation that has since started the groundwork for scalable, real-time fraud detection, customer segmentation, and compliance monitoring. From Concept to Implementation: What Is This Patent? The core idea of the Multivariate Transaction Classification system is to analyze transactional data using multiple variables rather than relying on static rule sets. This helps businesses to adapt changing transaction behaviors, a critical feature in industries where fraudsters and compliance requirements keep changing. ' At SAP, our goal was to solve a problem that rule-based systems couldn't—how do we build a system that not only detects known fraud patterns but can also evolve with new ones?' said Chandrashekar Althati. 'Our approach used machine learning models to evaluate risk across dimensions like transaction value, time, location, and behavior anomalies.' The patent describes innovations like thresholding mechanisms, automated data processing pipelines, and adaptive learning models that change themselves over time. For SAP's enterprise customers, this resulted in not only improved fraud prevention but also enhanced decision-making and real-time business insights. Beyond SAP, the impact of this technology has repeated across sectors like financial services, e-commerce, healthcare, and even regulatory agencies now rely on similar approaches for intelligent transaction management. Deep Expertise Across Domains Chandrashekar Althati's trajectory since then has only reinforced his reputation as a leader in data architecture and applied AI. Currently serving as a Data Platform Architect at a leading health tech provider, he has been instrumental in designing real-time data processing solutions that support personalized patient care at scale. At a major healthcare analytics company (anonymized), Chandrashekar led the design of a fault-tolerant, cost-optimized Kubernetes infrastructure on AWS, powering hundreds of dynamic ETL workflows through Apache Airflow and container orchestration. His work with data scientists and engineers helps ML pipelines using tools like AWS SageMaker, Kubeflow, and Apache Spark, and enhance operational agility. ' We needed to streamline data movement while keeping the computer cost in check. Building production-ready, auto-scaled systems on Kubernetes helped us ingest and process data more efficiently and securely,' Chandrashekar shared. His leadership here involved not only architectural design but also hands-on implementation, security management, and cost optimization shows his end-to-end mastery of enterprise data systems. Earlier, during his time at Deloitte Consulting, Chandrashekar focused on AI-driven analytics and serverless architectures. He designed machine learning solutions to extract structured insights from unstructured web data and led projects that integrated AWS services through Lambda, Step Functions, and Redshift. His ability to integrate DevOps and MLOps practices made him a valuable contributor in cross-functional, globally distributed teams. Scholarly Contributions and Global Recognition A strong advocate for knowledge sharing, Chandrashekar Althati is also a published researcher whose work in AI, predictive analytics, and data platform optimization has been cited widely. His Google Scholar profile reflects over 100 citations and an h-index of 7 clear indicators of academic influence. In particular, his recent article 'Enhancing Data Integration and Management: The Role of AI and Machine Learning in Modern Data Platforms' (JAIGS, 2024) has received notable attention in the data science community. Collaborating with peers across North America and India, he has published on themes ranging from AI-driven analytics in annuity products to optimization techniques for storage-constrained systems. ' My research interests are often inspired by the challenges I see in real-world enterprise data systems. Publishing these findings allows us to raise the bar for the industry while encouraging interdisciplinary collaboration,' Chandrashekar noted. His scholarly presence is matched by active participation in academic and industry forums. Chandrashekar frequently contributes as a co-author with other noted professionals like Bhavani Krothapalli, Jegatheeswari Perumalsamy, and Manish Tomar. The Road Ahead: Scalable, Responsible AI Chandrashekar believes that future transaction analytics systems will integrate deeper layers of intelligence. ' We're moving toward architectures where deep learning, edge computing, and blockchain all converge. The goal is to provide decision-support systems that are transparent, compliant, and fast,' he explained. There's also a strong push toward responsible AI, something that aligns with his current work in regulated sectors like healthcare. His emphasis on governance, reproducibility, and real-time monitoring of AI pipelines reflects a mature and forward-looking understanding of enterprise needs. Chandrashekar is also exploring opportunities to extend his patented work into domains like decentralized finance and real-time patient health monitoring, where transaction-like events must be classified with high accuracy and low latency. Closing the Loop: From SAP Labs to Industry Standard The journey of the Multivariate Transaction Classification patent is a story of practical innovation. What began as a forward-looking idea at SAP Labs has evolved into an industry standard, echoed in modern data platforms around the world. Chandrashekar Althati's career—spanning healthcare, consulting, and enterprise software—illustrates how deep technical expertise, combined with a collaborative and inquisitive mindset, can drive lasting impact. Whether enabling scalable cloud-native systems or publishing influential research, Chandrashekar continues to influence how we build and trust intelligent systems. His contributions demonstrate that impactful technology starts with thoughtful design and a vision that bridges research with enterprise scale.
Time of India
25-06-2025
- Entertainment
- Time of India
Ironheart X review: 5 tweets to read before watching Dominique Thorne's Marvel show
Ironheart X review: Ironheart, one of the most eagerly-awaited shows of the year, premiered on JioHotstar on June 25 much to the delight of fans, It has created a great deal of fans as it is set in the Marvel Cinematic Universe and features an intriguing story about the effects of technology. So, did the series live up to expectations? Here is what netizens have to say about Ironheart. Ironheart Twitter review The first three episodes of Ironheart are available to stream on JioHotstar in India. The series has become the talk of the town with its intriguing trailer. The fact that it is a successor to Black Panther: Wakanda Forever, too has added to the curiosity surrounding it. Not surprisingly, fans took to X (formerly known as Twitter) to review Ironheart A user loved the 'fun' action sequences and the show's take on legacy. I LOVED the first 3 episodes of #Ironheart! It's a gorgeous show with fun action, real stakes, and an exciting take on legacy. Seeing Riri do bad things for the greater good is a really interesting dilemma and The Hood is a scene stealer. Can't wait to see the rest next week! Another netizen called it a 'banger' and took a dig at those who have tried to pull down the series. And ironheart was amazing??? All the haters can stay missing out on amazing media 😘 Thank you Ryan coogler for another BANGER 🥰#Ironheart Fans were also impressed by Dominique Thorne's portrayal of the titular character. Wow I'm so impressed with the first three episodes of #IronHeart! I hope people give it a chance. It's a good show so far. Dominique Thorne is really talented Viewers were also impressed by the protagonist's suit and the show's execution. So u telling me that Riri improved on the Ironman suit??!!! This is a good show. No issues so far. #Ironheart Just finished those first three episodes of #Ironheart and I'm loving it so far. I'm definitely feeling underlying potential for an ETL relationship with Riri and Parker (Hood) and I hope I'm not the only one 👀 The remaining three episodes of Ironheart will be released on July 2. About Ironheart Ironheart centres on the events that unfold when Riri Williams, an MIT student, gets involved with Parker Robbins/The Hood. The show delves into their equation while establishing them as 'sides of the same coin'. The cast is headlined by Dominique Throne and Anthony Ramos.
International Business Times
23-06-2025
- Business
- International Business Times
From Cost Control to Intelligent Scaling: How Haribabu Is Redefining Database Modernization for the Cloud-Native Era
In the cloud-native era, data is both a strategic asset and a budgetary minefield. Enterprises are under pressure to modernize their database infrastructures but the path is riddled with technical complexity, platform fragmentation, and runaway costs. Enter Haribabu, a veteran architect and thought leader in cloud infrastructure optimization. With over 15 years of experience in database modernization and AI-enabled performance engineering, Haribabu is now leading a new frontier one that reimagined data platforms not just for performance, but for resilience, intelligence, and cost efficiency. His research, recently featured in multiple international journals including IJIRSET and QITP-IJCC, details a transformative methodology that fuses AI-based workload profiling, platform-agnostic orchestration, and zero-disruption optimization pipelines. The result? A modular, intelligent data modernization strategy that delivers predictable ROI while eliminating technical debt. "We have to stop thinking of cloud databases as static endpoints," Haribabu says. "They are dynamic, evolving systems and need to be managed with intelligence, not intuition." The Evolution of Enterprise Databases: Beyond Lift-and-Shift Many organizations have approached cloud database migration with a "lift-and-shift" mindset replicating legacy architecture in the cloud with minimal changes. The result: soaring bills, poor utilization, and brittle systems. Haribabu's framework breaks this pattern. He advocates for usage-aware replatforming where databases are re-architected based on actual workload signatures and operational goals. His AI model analyzes parameters such as: Query concurrency and response times Storage I/O profiles over time Memory access patterns during peak loads Read-write ratios and data gravity zones This intelligence is then used to recommend ideal database engines and instance types whether it's shifting from monolithic SQL to distributed NewSQL, or decoupling cold storage from OLAP compute nodes. His clients have reported: 33% reduction in post-migration incidents 45% acceleration in ETL jobs through tiered compute models 60% faster access to business-critical dashboards Haribabu's approach ensures that modernization is data-driven, context-aware, and purpose-built not merely a technology refresh. The Middleware Revolution: Intelligent Interconnectivity Without Lock-In Another hallmark of Haribabu's architecture is its middleware-first design. Instead of forcing teams to choose between cloud providers or database vendors, his solution layers intelligent abstraction above the infrastructure stack. This middleware: Supports hybrid deployments across AWS, Azure, GCP, and on-prem Enables cross-database orchestration (e.g., moving data between PostgreSQL and Cosmos DB) Implements policy-aware data routing and query redirection Integrates with CI/CD pipelines for schema-as-code delivery With built-in connectors for ETL, analytics, and Observability platforms like Power BI, Looker, and Grafana, Haribabu's platform simplifies governance across disparate data stores without locking customers into a single ecosystem. Intelligent Cost Observability: From Budget Oversight to Operational Forecasting Cloud database costs are often treated as a line item audited after the fact. Haribabu's system flips this paradigm by embedding cost Observability into the operational loop. Using AI-powered forecast models, his platform can: Predict cost overruns based on query usage trends Trigger alerts for idle resources and replication inefficiencies Simulate the impact of schema or index changes on billing This predictive FinOps layer gives DevOps teams and CFOs a shared visibility window bridging the gap between technical tuning and financial accountability. In one case study, a telecom client reduced their Aurora DB costs by 51% while maintaining 99.99% availability, simply by adopting Haribabu's intelligent recommendations. Democratizing Optimization: Built for Startups, Proven by Enterprises While Haribabu's innovations are deployed by Fortune 500 companies and global banks, his commitment goes beyond the enterprise. He is a passionate advocate for making intelligent optimization accessible to startups, academic institutions, and regional players. By leveraging open-source telemetry agents, lightweight automation scripts, and modular design templates, his architecture scales down as effectively as it scales up. "You don't need a massive budget to run an efficient cloud," Haribabu insists. "You just need visibility, automation, and the right architecture." About the Author Hari Babu Dama is a dynamic data infrastructure specialist with over 10 years of deep technical experience in enterprise database administration and cloud modernization. With a core focus on performance engineering and cost optimization, he has architected and implemented mission-critical solutions across Oracle, MySQL, PostgreSQL, and NoSQL platforms in diverse environments, including hybrid and multi-cloud ecosystems. Currently serving as an Application Architect at Randstad Digital LLC, Hari Babu drives cloud-native transformations that balance scalability, security, and efficiency. His background includes delivering high-availability systems and disaster recovery frameworks for leading financial institutions. While also contributing to automation and Observability solutions using modern DevOps tools like Ansible, Azure DevOps, and Prometheus. An accomplished technologist and thought leader, Hari Babu holds a Master's degree in Business Analytics from The University of Texas at Dallas.
Time Business News
30-05-2025
- Business
- Time Business News
SSIS Consulting
As an IT leader, you certainly understand the importance of ETL processes. Extract, Transform, and Load processes help in unlocking actionable insights. When it comes to handling complex ETL workflows, one powerful tool every organization needs is SQL Server Integration Services (SSIS). But without proper architecture & optimization, this tool can quickly become your greatest nightmare. UTIS LLC is the leading provider of advanced SSIS frameworks today. These architectures are designed to scale based on business needs. Read on to discover three high-impact SQL Server Integration Services worth seeking to streamline integration & enhance your database performance. Today, many organizations don't use modular SSIS package design in the development, maintenance, and scaling of efficient ETL workflows. This occurs due to a lack of awareness or tight deadlines. The lack of modular SSIS package design causes teams to encounter repeated code. Unfortunately, code duplication across multiple SSIS packages tends to raise maintenance time. It also leads to inconsistencies. Today, monolithic packages aren't only difficult to maintain. Also, they are usually hard to scale. If you currently experience this issue in your organization, now is certainly a good time to prioritize SQL Server Integration Services consulting. UTIS LLC can help! This firm has modular design strategies that break down large ETL tasks into small, reusable resources. This solution doesn't only enhance efficiency. It also makes maintenance easy. Bottom line: by partnering with SSIS experts at UTIS LLC, you'll get a clean architecture. Here, individual modules can be updated, tested, and reused. Of course, this will never cause disruption to the entire ETL pipeline. Does your organization currently encounter any of the following issues? Slow data loads Increasing data volume that leads to delays High server resource usage Frequent ETL job failures If yes, then we recommend that you prioritize ETL process optimization & performance tuning. This ETL consulting service matters because poorly optimized ETL processes often end up slowing down execution times. Besides, it causes memory leaks and performance degradation. UTIS LLC has a team of SSIS experts. They have successfully tuned thousands of packages from different industries. By partnering with this firm, you can always expect lightning-fast ETL performance. The importance of transparency & traceability in your enterprise environments can't be overstressed. Without robust logging & auditing, it becomes extremely difficult to troubleshoot issues. Today, SSIS experts at UTIS LLC offer Package Logging, Auditing & Exception Handling as a specialized service. They implement a centralized audit and logging framework—which makes rapid issue identification and resolution possible. Furthermore, it supports internal audits and governance requirements, which ensures compliance. Bottom line: UTIS LLC offers solutions that allow you to gain full visibility into your SSIS packages. This involves using centralized logging, auditing, and exception handling. Overall, this will allow your organization to catch issues and resolve them fast for smoother, more compliant operations. You can visit UTIS LLC today via the official website for more SSIS consulting services. TIME BUSINESS NEWS
Associated Press
22-05-2025
- Automotive
- Associated Press
Macurco Announces UL 2075 Certification for CO/NO2 Gas Detectors (CX-6 Series)
PRESS RELEASE: Paid Content from ACCESS Newswire. The AP news staff was not involved in its creation. Published [hour]:[minute] [AMPM] [timezone], [monthFull] [day], [year] Macurco is one of only two companies globally to offer an ETL Listed NO2 detector in compliance with UL 2075 standards. SIOUX FALLS, SOUTH DAKOTA / ACCESS Newswire / May 22, 2025 / Macurco is pleased to announce that its CX-6 (CO/NO2), CX-6-CO, and CX-6-NO2 gas detectors are now officially UL 2075 Listed through ETL certification. The CX-6 series is designed to detect hazardous gases, specifically Carbon Monoxide (CO) and Nitrogen Dioxide (NO2), in commercial environments such as parking garages, loading docks, maintenance bays, ambulance bays, warehouses, etc. The detectors can be standalone devices, controllers, or analog transducers integrated with Macurco control panels and other systems. Additionally, these detectors feature a 4-5-year field-replaceable sensor for enhanced convenience and CX-6 Gas Detector Carbon Monoxide and Nitrogen Dioxide Dual Gas Monitor Macurco is one of only two companies globally to offer an ETL listed NO2 detector in compliance with UL 2075 standards. The company is also the first in the commercial space to have CO, NO2, and Methane gas detectors that are ETL listed to UL 2075. 'Macurco is proud to announce that our CX-6 models now feature UL 2075 certification, reinforcing our commitment to safety, performance, and quality. This certification affirms that our detectors meet rigorous industry standards for accurately detecting hazardous gases. With Nitrogen Dioxide sensor technology advancements, the new CX-6 models offer a 5-year sensor lifespan-doubling the previous 2-year life. As more states require UL 2075 certification for gas detectors, Macurco continues to lead the industry by providing customers with dependable, cutting-edge safety solutions.' - Aaron Sherman, Director of Product Management The 2021 International Mechanical Code (IMC) Section 404.1 mandates that mechanical ventilation systems in enclosed parking garages must operate in conjunction with CO and NO2 detectors listed in accordance with UL 2075. Non-compliance with this regulation can result in significant safety risks, legal and regulatory consequences, insurance complications, operational disruptions, and challenges with future developments. Key Features and Benefits of CX-6 Detectors: Digital Display for CO & NO2 Internal Buzzer for audible alerts Replaceable Sensors with End-of-Life Notifications 5A SPDT Fan control relay, 0.5A N.O. or N.C. Alarm Relay Selectable Fan and Alarm Relay Actuation Settings 4-20mA current loop for easy integration ETL Listed to UL 2075 (CX-6, CX-6-CO, CX-6-NO2 models) Contact Information: For more information on the CX-6 CO/NO2 Monitors , please visit or contact [email protected] . At Macurco, our unwavering commitment is to enhance safety for individuals and properties. Our expertise lies solely in gas detection, and we take immense pride in delivering reliable products and exceptional customer service. Our Macurco Building and Home products are proudly made in the USA, ensuring short lead times and unparalleled support from our knowledgeable customer service and technical teams. Since 1972, Macurco has designed, developed, and manufactured a full set of fixed and portable gas detection monitors to protect workers, responders, and the community. Contact Information Jordan Mutchelknaus Director of Marketing [email protected] 512-619-8376 SOURCE: Macurco Inc press release
