Big Data & Analytics | Blog Posts & Podcast Episodes

Blog Posts

SQL in Big Data Solutions

Discover the transformative power of SQL in the age of big data. Learn how SQL has evolved to meet the demands of unstructured, high-velocity information and become an essential tool in managing and analyzing big data. Explore the complementary relationship between SQL and NoSQL, the role of SQL extensions, distributed SQL databases, real-time insights, modern data warehousing, AI and machine learning integration, and security considerations. See how SQL and big data have become a dynamic duo, amplifying each other's strengths to compose a comprehensive data strategy.

Data Modeling

The Impact of Big Data on Data Modeling

Discover how big data is reshaping data modeling approaches and revolutionizing the way we think about data. Explore the challenges posed by big data and the emergence of new methodologies in this insightful blog post.

Databases

SQL for Data Visualization

Explore the transformative role of SQL in data visualization and how it enhances data interpretation and decision-making. Discover how SQL shapes visual narratives and uncovers actionable insights from complex data sets.

Data Lakes

Real-time Analytics with Data Lakes

Discover the transformative power of real-time analytics in data lakes. Explore the challenges, best practices, and the emergence of the Data Lakehouse architecture for agile and informed decision-making.

Databases

NoSQL for Real-time Analytics

Discover how NoSQL databases are revolutionizing real-time analytics in various industries. Learn about the limitations of SQL databases and the advantages of NoSQL in handling unstructured data. Explore the scalability and agility of NoSQL, making it a crucial tool for making data-driven decisions in real-time.

Big Data & Analytics

Integration of Big Data in Data Management

This blog delves into the intricate challenges and practical solutions for integrating big data technologies into traditional data management frameworks. Explore the complexities of scalability, data models, governance, and more as we chart a way forward for effective big data integration.

Data Management

Integrating data management with business intelligence (BI) for enhanced insights

Integrating data management with Business Intelligence (BI) is crucial for enhanced insights. Discover the pillars, challenges, and best practices of this strategic integration. Unlock the power of your data-driven strategy.

Data Warehousing

Implementing Real-Time Analytics in Data Warehouses

Unlock the power of real-time analytics in data warehouses with this comprehensive guide. Discover the importance, challenges, and architectural considerations, as well as future trends in real-time analytics. Transition your data warehouse into an active, real-time analytics engine for agile, data-driven decision-making.

Data Warehousing

Data Warehousing in the Age of Big Data

Discover how data warehousing has evolved to meet the challenges of big data in this informative blog post. Explore the intersection of data warehousing and big data, the evolutionary steps that have been taken, and strategies for harnessing the full potential of data warehousing in the age of big data. Gain insights into the role of AI and machine learning in this evolution and explore real-world use cases across various industries. Stay relevant and future-proof your data management and analytics infrastructure with these valuable strategies.

Data and AI with David Colls

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One of the ways organisations are looking to unlock more avenues for business and operational growth is through data. Couple it with AI, the possibilities are almost endless. In this round of cocktails, ThoughtWorks Australia’s Director of Data and AI Practice David Colls talks to us about data and AI capabilities and how they can be tapped for product development and business strategies. He also shares the ethical and societal implications of the growth of big data and AI and what our responsibilities are in the process.

Designing Data Intensive Applications with Martin Kleppmann

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In this episode, Senior Research Associate from the Cambridge University and author of "Designing Data Intensive Applications" Martin Kleppmann joins us and discusses how they are finding ways to make software collaboration and ownership properly coexist through their "local-first software" project, which will allow users to work offline without compromising important security aspects and user data control.

Diving deep into databases with Joe Karlsson

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MongoDB Developer Advocate Joe Karlsson talks about NoSQL and SQL databases and the importance of choosing the right database for your organization as these can vary in architecture, functionality, and more.