AWS Big Data

DECEMBER 12, 2024

One-time and complex queries are two common scenarios in enterprise data analytics. Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios.

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Snapshot Recreation/Entertainment Experimentation Data Lake 97

datapine

MAY 20, 2020

Additionally, CRM dashboard tools provide access to insights that offer a concise snapshot of your customer-driven performance and activities through a range of features and functionalities empowered by online data visualization tools. Your Chance: Want to build professional CRM reports & dashboards?

Dashboards 265

Dashboards Reporting KPI Visualization 265

AWS Big Data

JANUARY 24, 2023

This post explains how to create a design that automatically backs up Amazon Simple Storage Service (Amazon S3), the AWS Glue Data Catalog, and Lake Formation permissions in different Regions and provides backup and restore options for disaster recovery. These mechanisms can be customized for your organization’s processes.

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Data Architecture Metadata Data Lake Snapshot 93

AWS Big Data

JULY 20, 2023

Additionally, partition evolution enables experimentation with various partitioning strategies to optimize cost and performance without requiring a rewrite of the table’s data every time. Metadata tables offer insights into the physical data storage layout of the tables and offer the convenience of querying them with Athena version 3.

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Data Lake Analytics Snapshot Data Quality 98

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto was able to achieve this level of scalability by completely separating analytical compute from data storage. Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes.

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OLAP Data Lake Data-driven Online Analytical Processing 86

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Data Processing Slice and Dice Data Lake 52

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Can you tell me a bit more about your role at Protegrity?

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