InfoQ Homepage Big Data Content on InfoQ
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Indestructible Storage in the Cloud with Apache Bookkeeper
At Salesforce, we required a storage system that could work with two kinds of streams, one stream for write-ahead logs and one for data. But we have competing requirements from both of the streams. Being the pioneers in cloud computing, we also required our storage system to be cloud-aware as the requirements of availability and durability are ever more increasing.
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The Evolution of Precomputation Technology and its Role in Data Analytics
In this article, author Yang Li discusses the importance of precomputation techniques in databases, OLAP and data cubes, and some of the trends in using precomputation in big data analytics.
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Performance Tuning Techniques of Hive Big Data Table
In this article, author Sudhish Koloth discusses how to tackle performance problems when using Hive Big Data tables.
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The Brain is Neither a Neural Network Nor a Computer: Book Review of The Biological Mind
Underlying much of artificial intelligence research is the idea that the essence of an individual resides in the brain. This is contrary to neuroscience which has discovered that a brain cannot work independently from the body and its environment. Understanding this enables us see what is reasonable to expect from artificial intelligence, as well as technology designed to improve human life.
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Overcoming Data Scarcity and Privacy Challenges with Synthetic Data
In this article, the author discusses the importance of using synthetic data in data analytics projects, especially in financial institutions, to solve the problems of data scarcity and more importantly data privacy.
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Beyond the Database, and beyond the Stream Processor: What's the Next Step for Data Management?
Databases have been around forever with the same shape: you make a request to your data and then you receive an answer. Now, stream processors came along with a different approach: data isn’t locked up, it is in motion. Understand how stream processors and databases relate and why there is an emerging new category of databases that focus on data that stays in place as well as data that moves.
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The End of the Privacy Shield Agreement Could Lead to Disaster for Hyperscale Cloud Providers
The recent ending of the Privacy Shield agreement by the European Court of Justice (ECJ) might impact cloud adoption. This article looks at the demise of this agreement, and possible solutions.
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COVID-19 and Mining Social Media - Enabling Machine Learning Workloads with Big Data
In this article, author Adi Pollock discusses how to enable machine learning workloads with big data to query and analyze COVID-19 tweets to understand social sentiment towards COVID-19.
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From Cloud to Cloudlets: a New Approach to Data Processing?
The growing popularity of small, distributed clouds, or “cloudlets” is an implicit recognition of the limitations of the “traditional” cloud model, and could signal a major shift in the way that data is collected, stored, and processed.
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Combining DataOps and DevOps: Scale at Speed
DataOps is an extension of DevOps standards and processes into the data analytics world. It's about streamlining the processes involved in processing, analyzing and deriving value from big data.
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Data Leadership Book Review and Interview
Data Leadership book, authored by Anthony Algmin, covers the data leadership topic and how data leaders should manage and govern the data management programs in their organizations. Data Leadership is how organizations choose to apply their energy and resources toward creating data capabilities to influence their business.
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Apache Arrow and Java: Lightning Speed Big Data Transfer
Apache Arrow puts forward a cross-language, cross-platform, columnar in-memory data format for data. It is designed to eliminate the need for data serialization and reduce the overhead of copying.
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Live Webinar presented by Cockroach Labs |
Q&A moderated by InfoQ
This webinar dives deep into the internals of CockroachDB, exploring how the database uses KV at the storage layer to effectively distribute data, how Raft and MVCC are used to guarantee serializable isolation for transactions, how to tie data to a location to help with performance, and more.