Remove 2022 Remove Data Processing Remove Optimization Remove Visualization
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How Dafiti made Amazon QuickSight its primary data visualization tool

AWS Big Data

Data and its various uses is increasingly evident in companies, and each professional has their preferences about which technologies to use to visualize data, which isn’t necessarily in line with the technological needs and infrastructure of a company. This is a guest post by Valdiney Gomes, Hélio Leal, and Flávia Lima from Dafiti.

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Run Spark SQL on Amazon Athena Spark

AWS Big Data

At AWS re:Invent 2022, Amazon Athena launched support for Apache Spark. Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer. With this launch, Amazon Athena supports two open-source query engines: Apache Spark and Trino.

Data Lake 101
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Five ways to reduce your public cloud spend with IBM Turbonomic

IBM Big Data Hub

A recent survey 1 found that cloud over-spending was higher in 2022 than in the previous year: 56% of companies surveyed admitted that spending on public cloud was significantly over budget, some by over 20% to 30% of their intended spend. Eliminate cloud waste through optimization Figure 3: IBM Turbonomic cloud cost optimization.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

We have already given you our top data visualization books , top business intelligence books , and best data analytics books. A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes.

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The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

billion by 2022—a level of growth that will shape SaaS trends in 2020. AI optimizes business processes, increasing productivity and efficiency while automating repetitive tasks and supporting human capabilities. SaaS is taking over the cloud computing market. 2) Vertical SaaS. 6) Micro-SaaS.

Software 314
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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance. smava decided to use Tableau for business intelligence, data visualization, and further analytics.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.