InfoQ Homepage Big Data Content on InfoQ
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AWS Introduces Athena Provisioned Capacity
AWS recently announced a new feature Provisioned Capacity for Athena, that allows users to run SQL queries on fully-managed compute capacity for a fixed price and no long-term commitments.
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Apache Linkis Graduated to Apache Top-Level Project
Apache Linkis is a computation middleware that acts as a layer between upper-level applications and underlying engines, such as Apache Spark, Apache Hive and Apache Flink. It started as an Apache Incubator project in 2021 and graduated to a Top Level Project in January 2023.
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Apache Druid 25.0 Delivers Multi-Stage Query Engine and Kubernetes Task Management
Apache Druid is a high-performance real-time datastore and its latest release, version 25.0, provides many improvements and enhancements. The main new features are: the multi-stage query (MSQ) task engine used for SQL-based ingestion is now production ready, and Kubernetes can be used to launch and manage tasks eliminating the need for middle managers...
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How Twitter Automated Data Quality Check Process
Twitter engineering has recently shared a blog post on how they architected and developed a quality automation platform. Twitter digests and creates thousands of data sets for different data products and applications. The next natural step is to make sure of the quality of the data by adding automation on top of it. In this news post, we explore this architecture in more detail.
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Uber Freight Near-Real-Time Analytics Architecture
Uber Freight is the Uber platform dedicated to connecting shippers with carriers. Providing reliable service to shippers is crucial for Uber Freight. This is why the Carrier Scorecard was developed, with several metrics including on-time pickup/delivery, tracking automation, and late cancellations.
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Snap Way to Design Ads Ranking Service Using Deep Learning
Snap engineering has recently published a blog post on how they designed their ads ranking and targeting service using deep learning. Showing ads to the users is the mainstream of social network platform monetization. Snap ad ranking system is designed to target the right user at the right time. Snap is providing an excellent user experience while preserving user privacy and security.
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Azure Data Explorer Supports Native Ingestion from Amazon S3
Microsoft recently announced the ability to natively ingest data from Amazon S3 into Azure Data Explorer (ADX). The new feature simplifies multi-cloud data analytics deployments, bringing data from Amazon S3 to Azure, without relying on custom ETL pipelines.
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Next Generation of Data Movement and Processing Platform at Netflix
Netflix engineering recently published in a tech blog how they used data mesh architecture and principles as the next generation of data platform and processing to unleash more business use cases and opportunities. Data mesh is the new paradigm shift in data management that enables users to easily import and use data without transporting it to a centralized location like a data lake.
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Google Introduces Zero-ETL Approach to Analytics on Bigtable Data Using BigQuery
Recently, Google announced the general availability of Bigtable federated queries, with BigQuery allowing customers to query data residing in Bigtable via BigQuery faster. Moreover, the querying is without moving or copying the data in all Google Cloud regions with increased federated query concurrency limits, closing the longstanding gap between operational data and analytics.
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Amazon Redshift Serverless Generally Available to Automatically Scale Data Warehouse
Amazon recently announced the general availability of Redshift Serverless, an elastic option to scale data warehouse capacity. The new service allows data analysts, developers and data scientists to run and scale analytics without provisioning and managing data warehouse clusters.
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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 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.