Latest news with #SQL
Yahoo
2 days ago
- Business
- Yahoo
Sigma is on the Gartner® Magic Quadrant™ for Analytics and Business Intelligence
This is the first time Sigma has been recognized. SAN FRANCISCO, June 18, 2025--(BUSINESS WIRE)--Sigma, the industry-leading analytics platform with unique cloud data platform write-back capabilities, today announced its recognition in the 2025 Gartner® Magic Quadrant™ for Analytics & Business Intelligence Platforms as a Niche Player. Sigma's first-time recognition in the 2025 Magic Quadrant comes on the heels of being named the 2025 Databricks Business Intelligence Partner of the Year and for the third year in a row, Snowflake's Business Intelligence Data Cloud Product Partner of the Year. Sigma believes this first-time placement confirms what more than 1,400 customers already know: Sigma is leading the next generation of business intelligence. "Sigma was built for this moment—the convergence of AI, cloud-scale data, and the need for business agility," said Mike Palmer, CEO of Sigma. "Our 1,400-plus customers enjoy the freedom of true self-service analytics, smarter decisions through governed AI, and a platform that turns data into action through data apps." Unlike traditional platforms, Sigma puts the cloud data warehouse at the center to deliver unmatched performance, scale, and flexibility. The platform enables teams to build robust data models, analyze data at scale, and tap into warehouse-native AI—all without moving data or sacrificing governance. Sigma's spreadsheet interface makes self-service analytics a reality for business users, while more technical users can work in SQL or Python alongside them. And with Sigma's generative intelligence interface, Ask Sigma, customers can build AI into their data workflows and ask complex data questions that receive auditable answers. Sigma also makes it easier than ever to turn complex business processes into interactive, data-driven apps that combine live data, workflows, and user input directly on the customer's cloud data warehouse. As of June 18, 2025, Sigma holds a 4.8 out of 5 rating on Gartner® Peer Insights™ from 97 all time ratings, with 92% of customers recommending the platform. Examples of customers who have leveraged Sigma to improve business decisions can be found here. Access the full Gartner® Magic Quadrant™ for Analytics & Business Intelligence Platforms to see why Sigma was recognized. Gartner Disclaimer Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, Peer Insights and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner, Voice of the Customer for Analytics and Business Intelligence Platforms, 20 Dec 2024. Gartner, Magic Quadrant for Analytics and Business Intelligence Platforms, 13 June 2025, Anirudh Ganeshan, Edgar Macari, Jamie O'Brien, Kurt Schlegel, Christopher Long About Sigma Sigma is business intelligence built for the cloud. With a spreadsheet UI, business users can work in the formulas and functions they already know, while more technical users can write SQL and apply AI models to data. Sigma queries the cloud warehouse directly, making it incredibly fast and secure—data never leaves the warehouse, and Sigma can analyze billions of rows in seconds. Beyond dashboards and reports, teams use Sigma to build custom data apps, which integrate live data with end user input. Sigma is the first analytics platform to enable data write-back, and continues to lead the market with innovation across AI, reporting, and embedded analytics. View source version on Contacts press@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
2 days ago
- Business
- Business Wire
Sigma is on the Gartner® Magic Quadrant™ for Analytics and Business Intelligence
SAN FRANCISCO--(BUSINESS WIRE)-- Sigma, the industry-leading analytics platform with unique cloud data platform write-back capabilities, today announced its recognition in the 2025 Gartner® Magic Quadrant™ for Analytics & Business Intelligence Platforms as a Niche Player. 'Sigma was built for this moment—the convergence of AI, cloud-scale data, and the need for business agility,' said Mike Palmer, CEO of Sigma. Sigma's first-time recognition in the 2025 Magic Quadrant comes on the heels of being named the 2025 Databricks Business Intelligence Partner of the Year and for the third year in a row, Snowflake's Business Intelligence Data Cloud Product Partner of the Year. Sigma believes this first-time placement confirms what more than 1,400 customers already know: Sigma is leading the next generation of business intelligence. 'Sigma was built for this moment—the convergence of AI, cloud-scale data, and the need for business agility,' said Mike Palmer, CEO of Sigma. 'Our 1,400-plus customers enjoy the freedom of true self-service analytics, smarter decisions through governed AI, and a platform that turns data into action through data apps.' Unlike traditional platforms, Sigma puts the cloud data warehouse at the center to deliver unmatched performance, scale, and flexibility. The platform enables teams to build robust data models, analyze data at scale, and tap into warehouse-native AI—all without moving data or sacrificing governance. Sigma's spreadsheet interface makes self-service analytics a reality for business users, while more technical users can work in SQL or Python alongside them. And with Sigma's generative intelligence interface, Ask Sigma, customers can build AI into their data workflows and ask complex data questions that receive auditable answers. Sigma also makes it easier than ever to turn complex business processes into interactive, data-driven apps that combine live data, workflows, and user input directly on the customer's cloud data warehouse. As of June 18, 2025, Sigma holds a 4.8 out of 5 rating on Gartner® Peer Insights™ from 97 all time ratings, with 92% of customers recommending the platform. Examples of customers who have leveraged Sigma to improve business decisions can be found here. Access the full Gartner® Magic Quadrant™ for Analytics & Business Intelligence Platforms to see why Sigma was recognized. Gartner Disclaimer Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, Peer Insights and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner, Voice of the Customer for Analytics and Business Intelligence Platforms, 20 Dec 2024. Gartner, Magic Quadrant for Analytics and Business Intelligence Platforms, 13 June 2025, Anirudh Ganeshan, Edgar Macari, Jamie O'Brien, Kurt Schlegel, Christopher Long About Sigma Sigma is business intelligence built for the cloud. With a spreadsheet UI, business users can work in the formulas and functions they already know, while more technical users can write SQL and apply AI models to data. Sigma queries the cloud warehouse directly, making it incredibly fast and secure—data never leaves the warehouse, and Sigma can analyze billions of rows in seconds. Beyond dashboards and reports, teams use Sigma to build custom data apps, which integrate live data with end user input. Sigma is the first analytics platform to enable data write-back, and continues to lead the market with innovation across AI, reporting, and embedded analytics.
Business Standard
2 days ago
- Business
- Business Standard
AI is Changing SQL Jobs: Learn How with AI for Techies
VMPL New Delhi [India], June 18: Imagine you're a SQL professional, spending hours crafting queries to pull data from databases. It's rewarding, but let's be honest--some tasks feel like a slog. Enter artificial intelligence (AI), the game-changer that's making SQL work faster, smarter, and even a bit more fun. But with all this buzz about AI, you might wonder: what does it mean for your career? And how can you stay ahead? That's where AI for Techies, founded by Aditya Kachave and David Gladson, comes in with practical training to help you thrive. AI Makes SQL Work Easier SQL, or Structured Query Language, is the go-to tool for managing and analyzing data in databases. Whether you're pulling sales reports or tracking customer trends, SQL is your bread and butter. Now, AI is stepping in to handle the repetitive stuff. Tools like let you type something simple like, "Show me last year's revenue," and poof--the AI writes the query for you. No more typos or endless coding. This saves time and lets you focus on the big picture, like figuring out what the data means for your company. But it's not just about writing queries. AI can also make your queries run faster. It looks at your database and suggests tweaks, like adding shortcuts (indexes) or rewriting parts of your code. This is a lifesaver when you're dealing with massive amounts of data, where every second counts. According to DATAVERSITY, these AI tricks can cut down delays and make your work smoother. Uncovering Hidden Data Gems AI doesn't just speed things up--it helps you dig deeper into data. It can spot patterns, like a sudden spike in sales or an odd dip in website traffic, that you might not notice on your own. It also automates tasks like cleaning and organizing data (think extract-transform-load processes), so you spend less time prepping and more time analyzing. This means you can deliver insights that help your team make smarter decisions, whether it's predicting trends or fixing problems before they grow. The Big Question: Will AI Replace SQL Pros? Okay, let's address the elephant in the room: is AI coming for your job? It's a fair worry, but the evidence suggests AI is more of a helper than a replacement. - Tricky Systems: AI is great for routine tasks, but complex databases need human know-how to design and manage. - Understanding Context: AI can crunch numbers, but humans get the "why" behind the data, like knowing what a sales drop really means. - Ethical Choices: Using data responsibly, especially with privacy laws, requires human judgment AI can't match. - New Opportunities: With AI, you can take on bigger roles, like building systems or advising on strategy. So, instead of replacing you, AI is like a super-smart assistant that makes your work easier and opens new doors. The catch? You need to learn how to use it. Upskilling with AI for Techies Here's where AI for Techies shines. Founded by Aditya Kachave and David Gladson, both alumni of top Indian institutes (IIT Kharagpur and IIT Madras), this platform offers workshops designed for tech folks like you. Their mission is to make AI accessible, with affordable courses that don't skimp on quality. Their flagship program, "SQL using AI Mastery," is a 30-day course that's perfect for SQL pros. You don't need any AI experience to start--just your SQL skills. The course covers how to use AI tools for writing queries, optimizing databases, and analyzing data. It's hands-on, with real-world projects and feedback from mentors. Over 1 Lakh + students have enrolled, giving it a 4.87/5 rating, and more than 5K+ have landed jobs after completing it. That's a track record worth bragging about! What the Founders Say Aditya Kachave, who's built successful AI-driven companies, knows the power of guidance. "Mentorship is the key to mastering AI," he says. "We don't just teach you tools--we help you solve real problems and build solutions that matter." His passion for teaching comes from his own journey, from landing a top job offer to creating businesses that thrive on AI. David Gladson, a data analytics whiz with experience in sports analytics, sees AI as a must-have skill. "Data runs everything today," he says. "Our workshops give SQL pros the tools to use AI and stay ahead in their careers." His practical approach ensures you learn skills you can apply right away. Both founders bring their expertise to create a supportive learning environment. Their workshops offer personalized guidance, making AI feel less intimidating and more like an exciting opportunity. Looking Ahead The future of SQL is bright, with AI paving the way for smarter, faster work. Tools are getting better, with features like natural language processing and automated security checks on the horizon. But to make the most of these changes, SQL pros need to keep learning. AI for Techies is ready to grow with you, offering new courses to cover the latest trends. As Ms. Amrita Singh, an SQL using AI Expert, puts it, "Businesses that don't use AI and data to innovate will fall behind." The same goes for SQL pros. By embracing AI, you're not just keeping up--you're setting yourself up for a career that's more rewarding and full of possibilities. Conclusion AI is transforming SQL jobs, making them easier, faster, and more impactful. It's not here to replace you but to help you do your best work. With AI for Techies, you can learn AI in a way that's practical, affordable, and fun. Under Aditya Kachave and David Gladson's guidance, you'll gain skills to boost your career and stay ahead in the tech world. Visit their website today to start your journey! Company: AI For Techies Website: Email ID: hello@ Contact No.: +91-9163217680 (ADVERTORIAL DISCLAIMER: The above press release has been provided by VMPL. ANI will not be responsible in any way for the content of the same)
Yahoo
3 days ago
- Business
- Yahoo
Tealium announces CloudStream™, creating the first unified, zero-copy orchestration solution built for the AI era
CloudStream enables instant cloud-native activation combining real-time and batch processing into one seamless platform San Diego, June 17, 2025 (GLOBE NEWSWIRE) -- Tealium, the leading intelligent real-time data orchestration platform, is announcing CloudStream™, a zero-copy segment builder and activation solution. With CloudStream, Tealium becomes the only platform enabling enterprises to seamlessly integrate real-time data collection, data cloud storage, and activation into one unified solution – going beyond traditional warehouse-only use cases to redefine customer data activation for the modern enterprise. CloudStream transforms data clouds into seamless activation engines, eliminating the need for manual data loading or duplication. Bridging the gap between real-time edge data collection and instant customer engagement, CloudStream empowers organizations to activate data directly from their data clouds, unlocking new possibilities for flexibility, performance, and compliance. 'Tealium's mission has always been to redefine how businesses harness the full potential of their data. With the launch of CloudStream, we're delivering composable without the compromise, faster and more efficiently than ever before,' said Mike Anderson, CTO at Tealium. 'CloudStream eliminates the barriers of redundant storage and manual processes, empowering enterprises to engage customers instantly and make smarter, data-driven decisions. With seamless integration across any data cloud platform, CloudStream sets a new standard for performance, compliance, and the future of data activation.' Tealium CloudStream allows enterprises to retain the data cloud as the source of truth, while cutting campaign build time from weeks to minutes. With the addition of CloudStream, Tealium enables: Cloud-Native Activation: Instantly map warehouse tables and columns to Tealium's attributes; define audience segments visually and activate customer data without writing SQL. Real-Time Data Collection & Engagement: Capture and enrich customer data at the edge using AI-driven processes, then store and activate it in the warehouse of choice for both batch and true real-time use cases, ensuring immediate insights and engagement opportunities. Unified Governance & Compliance: Centralize consent management and compliance in a single workflow, ensuring data privacy throughout the customer lifecycle. Identity Resolution: Maintain consistent customer identity across all touchpoints via Tealium's extensive network of consent and identity management partners. Operational Efficiency: Instantly activate AI-enriched customer profiles with zero duplicate storage, using intelligent automation to eliminate vendor sprawl and reduce costs. Tealium is the only platform that combines real-time data collection, warehouse-native activation, consented audience building, and data cloud orchestration all in one unified architecture. While other reverse ETL technologies only address part of the personalization puzzle, Tealium enables brands to build, govern, and activate customer data across the full lifecycle. For instance, Chris Andres, Managing Partner and Co-Founder at GTX Solutions, a Tealium partner, explains, 'At GTX Solutions, we work with nearly every CDP on the market, and one theme is consistent: brands demand both real-time speed and warehouse-level depth. Tealium's move to take ownership of the real-time data plane combined with seamless integration of warehouse-native power and zero-copy features represents a truly next-generation solution. It's a best-of-both-worlds approach: powerful real-time data collection and activation combined with direct access to the full modeling and analytics capabilities of the cloud data warehouse. That's a major step forward in the evolution of the CDP, enabling brands to embrace a truly unified strategy with a composable architecture that eliminates the traditional trade-offs between speed and depth.' Tealium CloudStream™ will be available for Early Access in Q3 2025. About Tealium Tealium helps companies collect, govern, and enrich their customer data in real-time to power AI initiatives and delight customers in the moments that matter. Tealium's turnkey integration ecosystem supports more than 1,300 built-in connections from the world's most prominent technology experts. Tealium's solutions include a real-time customer data platform (CDP) with intelligent AI data streaming, tag management, and an API hub. Tealium's data collection, management, and activation capabilities enable enterprises to accelerate operating performance, enhance customer experiences, drive better outcomes, and support global data compliance. More than 850 leading businesses globally trust Tealium to power their customer data strategies. For more information, visit Natalie Passarelli Tealium Inc. in to access your portfolio
Business Upturn
4 days ago
- Science
- Business Upturn
Top 10 Essential Skills for Aspiring Data Scientists in 2025
Throughout the information age, businesses alongside governments recognise data functions as their most potent corporate resource. The rapid advancement of industries depends on data science methods, which currently drive consumer behavioural predictions and healthcare diagnostic improvement. Data scientist skills stand as an invaluable employment asset because the need for data professionals shows no signs of slowing down as we approach 2025. But what exactly does it take to succeed as a data scientist in today's competitive landscape? Whether you're a student, a working professional planning a career switch, or simply intrigued by the data boom, understanding how to become a data scientist starts with mastering the right blend of technical, analytical, and interpersonal skills. Every aspiring data scientist needs to learn these top ten important skills, which will guarantee success: Programming and Scripting Languages Programming stands as a key requirement for every aspiring data scientist. Data scientists invest most of their professional time in creating software code that processes data and generates statistical analyses, and builds machine learning models. Within the field of data science, Python and R stand as the dominant programming languages. The functionality of querying databases relies heavily on using SQL. Knowledge of Git as well as Jupyter Notebooks with basic software development principles helps enhance the work. Mastering programming serves as a fundamental requirement rather than a helpful addition. Programming serves as your fundamental tool to extract data from sources and refine it, and also enables model development. Mathematics and Statistics The fundamental basis of data science rests on mathematical structures. Data science requires extensive dependency on probability to function with linear algebra and calculus, as it helps discover patterns by running mathematical algorithms. Statistics help in: Hypothesis testing Sampling Regression analysis Confidence intervals Viable insights and valid machine learning models become impossible to obtain without proper tools. Data Wrangling and Cleaning Real-world data arrives with many errors, along with missing or inconsistent values throughout. The essential procedure, known as Data wrangling, transforms raw data into a format ready for analysis. This includes: Handling missing values Encoding categorical variables Normalising datasets Dealing with outliers Sophisticated computer models yield poor outcomes when operating on unclean data sets. Your algorithms require strong foundations, which data wrangling helps establish. Machine Learning and Deep Learning Data scientists build and deploy machine learning models to resolve complicated problems in their field. As automation and predictive analytics become mainstream, proficiency in: Supervised and unsupervised learning Neural networks Decision trees Support vector machines Ensemble methods like random forests and XGBoost is highly valuable. Using frameworks like Scikit-learn, TensorFlow, and PyTorch with other skills enables users to construct and optimise models which become applicable to practical solutions. Data Visualisation and Storytelling A leader requires both essential specialised abilities and communication expertise, which requires proficiency in delivering results. Data visualisation tools help translate complex analysis into visuals that stakeholders can understand and act upon. Popular tools include: Tableau Power BI Matplotlib and Seaborn (Python) The ability to tell data stories stands as the fundamental yet underestimated capability for data scientists to connect technology-focused teams with organisational leadership groups. Cloud Computing and Deployment Local machines prove inadequate to process the growing amount of big data that appears in the market today. The current data storage infrastructure depends on central storage platforms operated by Amazon Web Services (AWS) and Google Cloud Platform (GCP), and Microsoft Azure. Skills to master: Using cloud-based notebooks Data pipeline creation Deploying machine learning models Serverless computing Cloud fluency stands as a mandatory skill in 2025. Large-scale data processing stands as an essential function within the data scientist role. Tools such as: Apache Hadoop Apache Spark Kafka Hive These tools operate efficiently when handling data amounts exceeding terabytes and petabytes. Data scientists who learn these tools can accept positions in enterprise environments handling data beyond traditional processing capability. Technological excellence becomes useless when it lacks understanding of the surrounding system. Whether you're working in healthcare, finance, e-commerce, or manufacturing, understanding the domain: Enhances the relevance of models Improves decision-making Helps in identifying key variables and performance indicators Your knowledge of such domain-specific laws, like compliance and risk modelling, will distinguish your abilities in fintech applications. Technical professionals obtain business problem-solving abilities when they acquire domain knowledge. Communication and Collaboration Mastering data science skills does not substitute for teamwork skills because data scientists must collaborate with multiple teams and departments. Data scientists regularly partner with product managers and engineers while working with marketing teams and executives on their projects. Key interpersonal skills include: Clear written and verbal communication Active listening Adaptability Presentation skills Being data-driven requires companies to explain complex models to people who do not have technical backgrounds. Lifelong Learning and Certification Data science continues to develop at a quick pace. What stands as a breakthrough in technology will lose its novelty in the future. Success demands an absolute commitment to a habit of continuous learning. A structured data science course stands as the best method to gain structured knowledge while maintaining pace with new tools and gathering a professional network. Certifications, projects, and hands-on practice help validate your expertise and improve job readiness. Data Scientist Salary in India What attracts many to this field is the generous compensation it provides. Indian companies determine data scientist salaries through a combination of skills and work experience. On average: Entry-level data scientists earn ₹6–10 LPA Mid-level professionals make ₹10–20 LPA The pay scale for senior data scientists and specialists reaches up to ₹25 LPA Data scientists who specialise in NLP, computer vision, or cloud deployment technologies receive elevated salary ranges in their profession. Ready to Launch Your Data Science Career? Start your learning path at Imarticus Learning to develop into the data scientist society demands for 2025. Begin your journey toward success by exploring today the advanced data science training options at Imarticus Learning. Ahmedabad Plane Crash
