InfoQ Homepage Big Data Content on InfoQ
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Google Announces a New, More Services-Based Architecture Called Runner V2 to Dataflow
Google Cloud Dataflow is a fully-managed service for executing Apache Beam pipelines within the Google Cloud Platform(GCP). In a recent blog post, Google announced a new, more services-based architecture called Runner v2 to Dataflow – which will include multi-language support for all of its language SDKs.
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Spark AI Summit 2020 Highlights: Innovations to Improve Spark 3.0 Performance
At the recent Spark AI Summit 2020, held online for the first time, the highlights of the event were innovations to improve Apache Spark 3.0 performance, including optimizations for Spark SQL, and GPU acceleration.
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Splunk Launches New Release of SignalFx APM
Splunk, a platform for searching, monitoring, and examining machine-generated big data, has launched a new release of application monitoring tool SignalFx Microservices APM™. The new release combines NoSample™ tracing, open standards based instrumentation and artificial intelligence (AI)-driven directed troubleshooting from SignalFx and Omnition into a single solution.
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Compliance and the California Privacy Act - the Empire Strikes Back
On January 1, 2020, the California Privacy Act came into effect. Many companies have not complied with the law, and the long term effects of the legislation are unclear.
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The Distributed Data Mesh as a Solution to Centralized Data Monoliths
Instead of building large, centralized data platforms, corporations and data architects should create distributed data meshes.
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Simplifying ETL in the Cloud, Microsoft Releases Azure Data Factory Mapping Data Flows
In a recent blog post, Microsoft announced the general availability (GA) of their serverless, code-free Extract-Transform-Load (ETL) capability inside of Azure Data Factory called Mapping Data Flows. This tool allows organizations to embrace a data-driven culture without the need to manage large infrastructure footprints while having the ability to dynamically scale data processing workloads.
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Google Releases Cloud Dataproc for Kubernetes in Alpha
Google Cloud Dataproc is an open-source data and analytic processing service based on Hadoop and Spark. Google has recently announced the alpha availability of Cloud Dataproc for Kubernetes, which provides customers with a more efficient method to process data across platforms.
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Jagadish Venkatraman on LinkedIn's Journey to Samza 1.0
At the recent ApacheCon North America, Jagadish Venkatraman spoke about how LinkedIn developed Apache Samza 1.0 to handle stream processing at scale. He described LinkedIn's use cases involving trillions of events and petabytes of data, then highlighted the features added for the 1.0 release, including: stateful processing, high-level APIs, and a flexible deployment model.
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ApacheCon 2019 Keynote: Google Cloud Enhances Big-Data Processing with Kubernetes
At ApacheCon North America, Christopher Crosbie gave a keynote talk title "Yet Another Resource Negotiator for Big Data? How Google Cloud is Enhancing Data Lake Processing with Kubernetes." He highlighted Google's efforts to make Apache big-data software "cloud native" by developing open-source Kubernetes Operators to provide control planes for running Apache software in a Kubernetes cluster.
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Google Introduces Cloud Storage Connector for Hadoop Big Data Workloads
In a recent blog post, Google announced a new Cloud Storage connector for Hadoop. This new capability allows organizations to substitute their traditional HDFS with Google Cloud Storage. Columnar file formats such as Parquet and ORC may realize increased throughput, and customers will benefit from Cloud Storage directory isolation, lower latency, increased parallelization and intelligent defaults
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An Introduction to Structured Data at Etsy
Etsy recently published a blog post detailing how they store and manage structured data. The Etsy team make extensive use of taxonomies, and store the structured data with JSON files.
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Amazon Releases AWS Lake Formation to General Availability
Recently, Amazon announced the general availability (GA) of AWS Lake Formation, a fully managed service that makes it much easier for customers to build, secure, and manage data lakes.
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The First AI to Beat Pros in 6-Player Poker, Developed by Facebook and Carnegie Mellon
Facebook AI Research’s Noam Brown and Carnegie Mellon’s professor Tuomas Sandholm recently announced Pluribus, the first Artificial Intelligence program able to beat humans in 6 player hold-em poker. In the past years, computers have progressively improved, beating humans in checkers, chess, Go, and the Jeopardy TV show. Poker poses more challenges around information asymmetry and bluffing.
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Microsoft Announces Public Preview of Azure Data Share
Microsoft has announced the public preview of Azure Data Share, which provides capabilities to share data with users in the own organization, as well as with other organizations. Essentially, Microsoft positions the recently announced service as a big data tool, though it’s also possible to share individual files.
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Amazon Personalize Is Now Generally Available, Bringing ML to Customers
After the first announcement of Amazon Personalize during AWS re:Invent last November, the service is now generally available for all AWS customers. With this service, developers can add custom machine learning models to their application, including ones for personalized product recommendations, search results and direct marketing, even if they don’t have much machine learning experience.