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Here’s Why Data Conferences Are Important: What You Need To Know

Smart Data Collective

There’s something new happening in the data sciences practically daily — and if somebody gets invited to speak at a conference, it’s most likely because they’re at the forefront of one of those developments. Back to the serious business: “Why data conferences?” there will be more than 2.7 Conclusion.

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Utilize The Effectiveness Of Professional Executive Dashboards & Reports

datapine

Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway. Companies that use data analytics are five times more likely to make faster decisions, based on a survey conducted by Bain & Company. Geoffrey Moore, Author of Crossing the Chasm & Inside the Tornado.

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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

Using Apache Iceberg’s compaction results in significant performance improvements, especially for large tables, making a noticeable difference in query performance between compacted and uncompacted data. These files are then reconciled with the remaining data during read time.

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Streamline AWS WAF log analysis with Apache Iceberg and Amazon Data Firehose

AWS Big Data

To optimize their security operations, organizations are adopting modern approaches that combine real-time monitoring with scalable data analytics. They are using data lake architectures and Apache Iceberg to efficiently process large volumes of security data while minimizing operational overhead.

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Stream real-time data into Apache Iceberg tables in Amazon S3 using Amazon Data Firehose

AWS Big Data

For example, you can write some records using a batch ETL Spark job and other data from a Flink application at the same time and into the same table. Third, it allows scenarios such as time travel and rollback, so you can run SQL queries on a point-in-time snapshot of your data, or rollback data to a previously known good version.

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