#Big Data Strategy

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Advancing Big Data Strategies through Data Modernization: Exploring Data Lakehouses and Data Mesh

In this era of digital transformation, data has become the lifeblood of businesses across various industries. Organizations are generating massive volumes of data from multiple sources, including customer interactions, product usage, IoT devices, and more. This deluge of data presents both a challenge and an opportunity for enterprises. To harness the full potential of their data assets, businesses must embrace cutting-edge technologies and advanced strategies. Data Modernization is the answer to this challenge, enabling organizations to revamp their data infrastructure and drive innovation in data management and utilization. Two pivotal components of Data Modernization that have gained significant attention are Data Lakehouses and Data Mesh. In this article, we will delve deep into these concepts, exploring how they empower businesses to elevate their Big Data strategies.

Section 1: Understanding Data Modernization

Data Modernization, as the name suggests, refers to the process of modernizing an organization’s data infrastructure and strategies to adapt to the evolving data landscape. It involves rethinking data architecture, storage, processing, and analytics to support the growing demands of data-driven decision-making.

The Need for Data Modernization The exponential growth of data volume and variety has made traditional data management approaches inadequate. Conventional systems struggle to handle the diverse types of data, leading to silos, inefficiencies, and missed opportunities. Data Modernization aims to address these challenges by offering scalable, flexible, and cost-effective solutions for data management.

Benefits of Data Modernization Improved Data Integration: Data Modernization promotes seamless integration of structured and unstructured data, breaking down silos and enabling a comprehensive view of organizational data.

Real-time Insights: Advanced data processing capabilities allow organizations to analyze data in real-time, facilitating quicker decision-making and response to changing market dynamics.

Enhanced Data Quality: By incorporating robust data governance practices, Data Modernization ensures data accuracy, consistency, and reliability.

Cost Efficiency: Modern data technologies like cloud-based storage and processing help optimize costs by scaling resources based on demand.

Section 2: Unveiling the Data Lakehouse

Data Lakehouse is a hybrid data architecture that combines the best features of Data Lakes and Data Warehouses. It provides a unified platform that enables efficient storage, processing, and analysis of raw and structured data.

Data Lake vs. Data Warehouse

Data Lake: A Data Lake is a repository that stores vast amounts of raw, unstructured, and semi-structured data. It offers a cost-effective solution for storing data without the need for extensive data transformations. However, challenges related to data governance and data quality often arise in traditional Data Lake implementations.

Data Warehouse: A Data Warehouse, on the other hand, stores structured data in a well-organized, optimized, and easily queryable manner. It supports fast and reliable data retrieval, making it ideal for analytical purposes. Yet, Data Warehouses struggle to handle the volume and variety of data generated by modern applications.

The Evolution of Data Lakehouses Data Lakehouses have emerged as a natural progression from these traditional data architectures. They combine the scalability and cost-effectiveness of Data Lakes with the structured processing capabilities of Data Warehouses. This integration allows organizations to store raw data efficiently and perform advanced analytics, all within a single, cohesive environment.

Key Features of Data Lakehouses Schema Enforcement: Data Lakehouses enforce schema on read, ensuring that data is queried with a predefined schema to maintain data consistency and integrity.

Delta Processing: Delta processing allows for incremental updates to data, enabling organizations to maintain historical records while efficiently managing data changes.

Unified Data Processing: With Data Lakehouses, data engineers and data scientists can leverage the same platform for data processing, reducing complexity and streamlining operations.

Benefits of Data Lakehouses Simplified Architecture: Data Lakehouses eliminate the need for separate data storage and processing layers, simplifying the overall data architecture.

Accelerated Analytics: By combining data storage and analytics processing, Data Lakehouses reduce data movement and latency, leading to faster insights.

Improved Data Governance: Data Lakehouses enforce schema constraints during query time, ensuring data consistency and adhering to governance policies.

Section 3: Embracing Data Mesh

Data Mesh is a paradigm shift in data architecture and governance that focuses on decentralizing data ownership and management. It encourages collaboration between domain teams and treats data as a product, allowing for greater agility and innovation.

The Challenges of Centralized Data Management Traditional centralized data management often leads to bottlenecks, data silos, and long development cycles. Centralized data teams struggle to meet the diverse and rapidly changing data requirements of individual business units, leading to inefficiencies and delays in data delivery.

Data Mesh Principles Data Mesh proposes a set of principles to overcome these challenges and foster a more distributed and collaborative approach to data management: Domain-Oriented Ownership: In the Data Mesh model, domain teams take ownership of their data products, aligning data responsibilities with specific business functions.

Self-Serve Data Platform: A self-serve data platform empowers domain teams to manage their data operations independently, reducing reliance on central data teams.

Data as a Product: Data is treated as a valuable product, and data products come with well-defined contracts, making it easier for consumers to understand and utilize the data.

Federated Data Governance: Data governance is distributed across domain teams, allowing them to adhere to governance standards specific to their data products.

Benefits of Data Mesh Agile Data Management: Data Mesh enables faster data delivery and allows domain teams to respond quickly to changing data requirements.

Improved Collaboration: By decentralizing data ownership, Data Mesh promotes collaboration between business units and data teams.

Scalability and Flexibility: As the organization grows, Data Mesh can scale more effectively by distributing data responsibilities.

Section 4: Integrating Data Lakehouses and Data Mesh

The synergy between Data Lakehouses and Data Mesh offers a powerful combination for modern data-driven organizations.

Empowering Domain Teams with Data Lakehouses

Data Lakehouses provide domain teams with a unified platform to store, process, and analyze data efficiently. The schema enforcement and delta processing features ensure data consistency and enable teams to work with data confidently. Additionally, the self-serve nature of Data Lakehouses aligns well with the principles of Data Mesh, granting domain teams greater autonomy over their data products. Facilitating Scalable Analytics with Data Mesh

Data Mesh promotes a federated approach to data governance, which aligns with the distributed architecture of Data Lakehouses. Domain teams can establish their data governance practices while still adhering to overall organizational standards. The federated nature of Data Mesh also enables seamless data integration and collaboration between different teams.

Conclusion

Data Modernization is the driving force behind successful Big Data strategies in the digital age. Embracing Data Lakehouses and Data Mesh empowers organizations to unlock the full potential of their data assets, driving innovation, and agility

Source:-https://us.sganalytics.com/blog/evolving-big-data-strategies-with-data-lakehouses-and-data-mesh/

[jcmarchi]

Samsung AI strategy delivers record revenue despite semiconductor headwinds

New Post has been published on https://thedigitalinsider.com/samsung-ai-strategy-delivers-record-revenue-despite-semiconductor-headwinds/

Samsung AI strategy delivers record revenue despite semiconductor headwinds

Samsung Electronics’ strategic focus on AI has delivered high revenue in the first quarter of 2025, as the South Korean tech giant navigates semiconductor market challenges and growing global trade uncertainties.

The company posted an all-time quarterly high revenue of KRW 79.14 trillion ($55.4 billion), marking a 10% increase year-over-year, according to its financial results released on Wednesday. Operating profit climbed to KRW 6.7 trillion ($4.68 billion), representing a modest 1.5% increase compared to the same period last year.

The results exceeded Samsung’s earlier forecast of KRW 79 trillion and analysts’ expectations.

Smartphone success counters chip challenges

The Mobile Experience (MX) Business emerged as the best performer, contributing KRW 37 trillion in consolidated revenue and KRW 4.3 trillion in operating profit – its highest level in four years. The success was driven primarily by strong sales of the flagship Galaxy S25 series, which features AI abilities via Galaxy AI.

“Enhanced cost competency and price declines for some components also contributed to solid double-digit profitability,” the company’s earnings report said.

In contrast, Samsung’s Device Solutions (DS) Division, which includes its semiconductor operations, posted KRW 25.1 trillion in revenue and KRW 1.1 trillion in operating profit – a 42% decline from the previous year. The performance reflects ongoing challenges in the semiconductor market, particularly in high-bandwidth memory (HBM) sales.

“Overall earnings were impacted by the erosion of average selling price (ASP), as well as a decrease in HBM sales due to export controls on AI chips and deferred demand in anticipation of upcoming enhanced HBM3E products,” Samsung said.

Trade tensions cloud future outlook

Despite the record revenue, Samsung has expressed caution about the second quarter, dropping its usual business outlook due to growing macroeconomic uncertainties stemming from global trade tensions and slowing economic growth.

“Due to the rapid changes in policies and geopolitical tensions among major countries, it’s difficult to accurately predict the business impact of tariffs and established countermeasures,” a Samsung executive stated during Wednesday’s earnings call.

Of particular concern are US President Donald Trump’s “reciprocal” tariffs, most of which have been suspended until July but threaten to impact dozens of countries including Vietnam and South Korea, where Samsung produces smartphones and displays.

While Samsung noted that its flagship products like semiconductors, smartphones, and tablets are currently exempt from these tariffs, the company revealed that Washington is conducting a product-specific tariff probe into these categories.

“There are a lot of uncertainties ahead of us […] we are communicating with related countries to minimise negative effects,” Samsung said during the call.

In response to its challenges, the company disclosed it is considering relocating production of TVs and home appliances.

AI investment and future strategy

Despite these headwinds, Samsung remains committed to its artificial intelligence strategy, allocating its highest-ever annual R&D expenditure for 2024. In the first quarter of 2025, the company increased R&D spending by 16% compared to the same period last year, amounting to KRW 9 trillion.

For the remainder of 2025, Samsung plans to expand its AI smartphone lineup through the introduction of “Awesome Intelligence” to the Galaxy A series and the launch of the Galaxy S25 Edge in Q2. Later in the year, the company will strengthen its foldable lineup with enhanced AI user experiences.

In the semiconductor space, Samsung aims to strengthen its position in the high-value-added market through its server-centric portfolio and the ramp-up of enhanced HBM3E 12H products to meet initial demand. The company expects AI-related demand to remain high in the second half of 2025, coinciding with the launch of new GPUs.

“In the mobile and PC markets, on-device AI is expected to proliferate, so the Memory Business will proactively respond to this shift in the business environment with its industry-leading 10.7Gbps LPDDR5x products,” Samsung stated.

The company’s foundry business remains focused on its 2nm Gate-All-Around (GAA) process development, which remains on schedule despite current challenges.

Market reaction and competitive landscape

Samsung shares were trading down approximately 0.6% following the announcement, reflecting investor concerns about the uncertain outlook.

The results highlight Samsung’s complex position in the AI market – succeeding in consumer-facing applications while working to catch up with competitors in AI-specific semiconductor components.

Local rival SK Hynix, which reported a 158% jump in operating profit last week to KRW 7.4 trillion, has overtaken Samsung in overall DRAM market revenue for the first time, capturing 36% global market share compared to Samsung’s 34%, according to Counterpoint Research.

SK Hynix’s success has been particularly pronounced in the high-bandwidth memory segment, which is crucial for AI server applications.

“Samsung has assumed that the uncertainties are diminished, it expects its performance to improve in the second half of the year,” the company noted, striking a cautiously optimistic tone despite the challenges ahead.

Samsung’s record revenue masks a pivotal crossroads for the tech giant: while its AI-enhanced smartphones flourish, its once-dominant semiconductor business risks falling behind in the AI revolution.

The coming quarters will reveal whether Samsung’s massive R&D investments can reclaim lost ground in HBM chips, or if we’re witnessing a fundamental power shift in Asian tech manufacturing that could alter the global AI supply chain for years to come.

For a company that rebuilt itself numerous times over its 56-year history, the AI semiconductor race may prove to be its most consequential transformation yet.

(Image credit: Anthropic)

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Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

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Welcome to the digital era, where data reigns as the new currency.

In modern information technology, the term “Big Data” has surged to the forefront, embodying the exponential growth and availability of data in today’s digital age. This influx of data encompasses vast volumes, generated at unprecedented speeds and with diverse varieties, presenting both challenges and opportunities across industries worldwide.

To unlock the true potential of big data, businesses need to address several critical areas like #BigDataCollection and #DataIntegration, #DataStorage and Management, #DataAnalysis and #DataAnalytics, #DataPrivacy and #DataSecurity, Innovation and Product Development, Operational Efficiency and Cost Optimization. Here at SBSC we recognize the transformative power of #bigdata and empower businesses to unlock its potential through a comprehensive suite of services: #DataStrategy and #Consultation: SBSC’s Tailored advisory services help businesses define their Big Data goals, develop a roadmap, and align data initiatives with strategic objectives.

#DataArchitecture and #DataIntegration: We Design and implementation of scalable, robust data architectures that support data ingestion, storage, and integration from diverse sources. #DataWarehousing and Management: SBSC provides Solutions for setting up data warehouses or data lakes, including management of structured and unstructured data, ensuring accessibility and security. Data Analytics and Business Intelligence: Advanced analytics capabilities leveraging machine learning, AI algorithms, and statistical models to derive actionable insights and support decision-making.

#DataVisualization and Reporting: Creation of intuitive dashboards and reports that visualize key insights and performance metrics, enabling stakeholders to interpret data effectively. #CloudServices and Infrastructure: Leveraging #cloudplatforms for scalability, flexibility, and cost-effectiveness in managing Big Data environments, including migration and optimization services Continuous Improvement and Adaptation: Establishment of feedback loops and metrics to measure the impact of Big Data initiatives, fostering a culture of continuous improvement and adaptation.

By offering a comprehensive suite of services in these areas, SBSC helps businesses to harness the power of Big Data to drive innovation, improve operational efficiency, enhance customer experiences, and achieve sustainable growth in today’s competitive landscape

Contact SBSC to know the right services you need for your Business

Email: info@sbsc.com Website:https://www.sbsc.com

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Celebal Technologies | Harnessing the Power of Data and AI for Business Transformation 

The convergence of data and artificial intelligence has emerged as a critical foundation for fostering business innovation and transformation within the contemporary digital environment. At Celebal Technologies, we leverage big data and artificial intelligence to help enterprises unlock unprecedented growth and efficiency. Our advanced data analytics solutions enable businesses to navigate the complexities of the modern market, ensuring they stay ahead of the curve. 

The Role of Data and AI in Modern Business 

The integration of data and AI into business processes transforms how organizations operate. AI-driven analytics allows companies to glean actionable insights from vast data sets, enabling informed decision-making. By automating repetitive tasks and optimizing operations, businesses can achieve significant cost savings and improved productivity. Moreover, personalized marketing campaigns and enhanced customer experiences contribute to revenue growth, creating a competitive edge in the market. 

Advanced Data Analytics for Strategic Advantage 

Celebal Technologies offers a comprehensive suite of advanced data analytics services designed to drive strategic initiatives. Our solutions include: 

Generative AI: Our generative AI solutions empower businesses to create dynamic, context-aware applications that automate tasks and revolutionize decision support systems. This leads to improved operational efficiency and better customer experiences. 

Enterprise Data Warehousing: We specialize in building centralized data repositories that unify diverse data sources, ensuring data quality and timely access to critical information. This helps businesses maintain a single source of truth and make data-driven decisions with confidence. 

Data Lakes and AI-Driven Analytics: Our end-to-end solutions encompass strategy, prototyping, data integration, and real-time processing. This enables businesses to derive real-time insights and make informed decisions that drive growth and innovation. 

Data Platform Modernization: By modernizing data platforms, we help businesses establish a trusted and reusable set of data products. This accelerates the time to insights and enhances decision-making capabilities. 

Driving Business Value with AI Strategy 

Implementing a robust AI strategy is essential for businesses aiming to thrive in a data-centric world. Celebal Technologies assists organizations in developing and executing AI strategies that align with their goals. Our approach includes: 

AI and Machine Learning: We leverage machine learning frameworks to scale AI solutions tailored to address specific business challenges. By activating the power of data, businesses can predict, decide, and act in transformative ways. 

Intelligent Insights: Our AI-driven analytics provide richer, real-time insights that elevate decision-making processes. This empowers businesses to respond swiftly to market changes and emerging opportunities. 

Generative AI: Revolutionizing Business Processes 

Generative AI is at the forefront of innovation, offering businesses the ability to automate complex tasks and enhance decision-making processes. Our generative AI solutions are designed to: 

Empower the Workforce: By automating routine tasks, generative AI frees up employees to focus on higher-value activities. This leads to increased productivity and job satisfaction. 

Enhance Customer Experiences: Personalized interactions driven by generative AI improve customer engagement and satisfaction, fostering long-term loyalty. 

Optimize Operations: Generative AI optimizes operational workflows, reducing costs and improving efficiency. This is particularly beneficial for industries with complex and dynamic processes. 

Success Stories: Transforming Enterprises with Data and AI 

Our track record of successful implementations showcases the tangible benefits of data and AI. For instance, a renowned manufacturing company faced challenges with data integration across various sources, leading to inefficiencies. By deploying our O2C, P2P, and Core Finance Power BI dashboards, we centralized their data into a Data Lake, providing real-time access and analytics. This transformation resulted in significant cost savings, improved efficiency, and enhanced competitiveness. 

Conclusion: Embracing the Future with Celebal Technologies 

The future of business lies in the effective harnessing of data and AI. At Celebal Technologies, we are committed to helping organizations navigate this journey with our cutting-edge solutions. From big data and artificial intelligence to advanced data analytics and AI-driven analytics, we provide the tools and expertise needed to thrive in a rapidly evolving landscape. By developing a robust AI strategy and leveraging generative AI, businesses can unlock new levels of innovation, efficiency, and growth. 

For more information on how Celebal Technologies can transform your business with data and AI, visit Celebal Technologies Data and AI Solutions.  

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