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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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Why optimize your warehouse with a data lakehouse strategy

IBM Big Data Hub

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. The rise of cloud object storage has driven the cost of data storage down.

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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. Semi-structured data falls between the two.

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Unleash Fast Data Insights With Snowflake and ThoughtSpot

CDW Research Hub

Snowflake, a data warehouse built specifically for the cloud, is one popular option. Snowflake helps eliminate many of the common issues data professionals face because it supports structured and semi-structured data, scales massive concurrency without limit, and boasts secure, live data sharing.

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Serving the Public Through Data

Cloudera

However, with the COVID-19 pandemic placing extreme pressure on governments to deliver accessible and efficient services while ensuring optimal user experience, going digital is now a necessity and not a luxury. This data allows the government to have a deeper understanding of the initiatives that it launches and their impact. .

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Insights from Gartner’s 2023 Data Security Hype Cycle – Data Security Posture Management (DSPM) Highlights

Laminar Security

Hyping Data Security Posture Management (DSPM) In its second year on the hype cycle, Data Security Posture Management (DSPM) stands out as a transformational tool. Hyping Data Security Posture Management (DSPM) In its second year on the hype cycle, Data Security Posture Management (DSPM) stands out as a transformational tool.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.