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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. In our testing, the dataset was stored in Amazon S3 in non-compressed Parquet format and the AWS Glue Data Catalog was used to store metadata for databases and tables. It depends on the data distribution.

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Reclaiming the stories that algorithms tell

O'Reilly on Data

Algorithms tell stories about who people are. The first story an algorithm told about me was that my life was in danger. It was 7:53 pm on a clear Monday evening in September of 1981, at the Columbia Hospital for Women in Washington DC. I was exactly one minute old. You get two points for waving your arms and legs, for instance.)

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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

Also, selecting the option to enable Iceberg analytic tables ensures the VC has the required libraries to interact with Iceberg tables. 8 2001 5967780. Let’s take a look at how we can take advantage of this Iceberg table using Impala to run interactive BI queries. 1 2008 7009728. 2 2007 7453215. 3 2006 7141922. 4 2005 7140596.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams. You can analyze streaming data interactively using managed Apache Zeppelin notebooks with Amazon Managed Service for Apache Flink Studio in near-real time.

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Huawei’s 20-year journey in Malaysia

CIO Business Intelligence

Huawei’s foray into the country began in 2001. Calls to bridge the digital divide have also become more urgent, especially to promote remote interactions and business activities, conducted through digital platforms and technologies. Huawei is fully committed to creating value for the communities and markets in which it operates.

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Data Science at The New York Times

Domino Data Lab

A “data scientist” might build a multistage processing pipeline in Python, design a hypothesis test, perform a regression analysis over data samples with R, design and implement an algorithm in Hadoop, or communicate the results of our analyses to other members of the organization in a clear and concise fashion. Sorry, R people.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. for DG adoption in the enterprise. Process efficiency ( cost reduction ) is generally ?a