InfoQ Homepage Big Data Content on InfoQ
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Shopify’s Practical Guidelines from Running Airflow for ML and Data Workflows at Scale
Shopify engineering shared its experience in the company's blog post on how to scale and optimize Apache Airflow for running ML and data workflows. They shared practical solutions for the challenges they faced like slow file access, insufficient control over DAG, irregular level of traffic, resource contention among workloads, and more.
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Fitting Presto to Large-Scale Apache Kafka at Uber
The need for ad-hoc real-time data analysis has been growing at Uber. They run a large Apache Kafka deployment and need to analyse data going through the many workflows it supports. Solutions like stream processing and OLAP datastores were deemed unsuitable. An article was published recently detailing why Uber chose Presto for this purpose and what it had to do to make it performant at scale.
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Amazon Elastic MapReduce Now Generally Available as a Serverless Offering
AWS recently announced that Amazon Elastic MapReduce (EMR) Serverless is generally available (GA). The offering is a serverless deployment option for customers to run big data analytics applications using open-source frameworks like Apache Spark and Hive without configuring, managing, and scaling clusters or servers.
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Google Brings Confidential Computing to Latest C2D and N2D Machine Types
A few months after upgrading its general-purpose (N2D) and compute-optimized (C2D) virtual machines to adopt the latest AMD EPYC technology, Google is now making confidential computing available in preview on those machine types.
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PipelineDP Brings Google’s Differential-Privacy Library to Python
Google and OpenMined have released PipelineDP, a new open-source library that allows researchers and developers to apply differentially private aggregations to large datasets using batch-processing systems.
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Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
Cloud Bigtable is a fully-managed, scalable NoSQL database service for large operational and analytical workloads on the Google Cloud Platform (GCP). And recently, the public cloud provider announced the general availability of Bigtable Autoscaling, which automatically adds or removes capacity in response to the changing demand for applications allowing cost optimizations.
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Amazon OpenSearch Adds Anomaly Detection for Historical Data
Amazon OpenSearch recently introduced the support of anomaly detection for historical data. The machine learning based feature helps identifying trends, patterns, and seasonality in OpenSearch data.
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Austrian DPA Ruling against Google Analytics Paves the Way to EU-based Cloud Services
In a recent ruling, the Austrian data regulator declared the use of Google Analytics unlawful based on EU GDPR regulation. While the ruling is very specifically argued and worded, its implications go well beyond this particular case.
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Microsoft Open-Sources Distributed Machine Learning Library SynapseML
Microsoft announced the release of SynapseML, an open-source library for creating and managing distributed machine learning (ML) pipelines. SynapseML runs on Apache Spark, provides a language-agnostic API abstraction over several datastores, and integrates with several existing ML technologies, including Open Neural Network Exchange (ONNX).
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Apache Spark Brings Pandas API with Version 3.2
The Apache Spark team has integrated the Pandas API in the product's latest 3.2 release. With this change, dataframe processing can be scaled to multiple clusters or multiple processors in a single machine using the PySpark execution engine.
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AWS Announces the Public Preview of AWS Data Exchange for Amazon Redshift
Recently AWS announced the public preview of AWS Data Exchange for Amazon Redshift. This new feature enables customers to find and subscribe to third-party data in AWS Data Exchange to query in an Amazon Redshift data warehouse.
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AWS Announces the General Availability and Open Sourcing of the Amazon Genomics CLI
Amazon Genomics CLI is a tool that makes it easier to process genomics data at a petabyte-scale on AWS. Earlier this year, the public cloud vendor shared a preview of the tool, and it is now open source and generally available.
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Facebook Mariana Trench Helps Developers to Find Vulnerabilities in Android and Java Apps
Recently open-sourced by Facebook, Mariana Trench (MT) aims to help developers identify and prevent security and privacy bugs in Android and Java applications.
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AWS Announces Customizable Image Support for Amazon EMR on EKS
Recently, AWS announced customizable image support for Amazon EMR on Amazon Elastic Kubernetes Service (Amazon EKS) that allows customers to modify the Docker runtime image that runs their analytics application using Apache Spark on their EKS cluster.
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Airbnb Builds Himeji - a Scalable Centralized Authorization System
Airbnb recently described how it built Himeji, a scalable centralized authorization system. Himeji stores permissions data and performs permission checks as a central source of truth. It uses a sharded and replicated in-memory cache to improve performance and lower latencies and has served checks in production for about a year.