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The future of data: A 5-pillar approach to modern data management

CIO

This article proposes a methodology for organizations to implement a modern data management function that can be tailored to meet their unique needs. By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices.

Data 167
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Are you ready for MLOps? 🫵

Xebia

Being ready means understanding why you need that technology and what it is. The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. In 2019 alone the Data Scientist job postings on Indeed rose by 256% [2].

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Analytics operating system Redbird makes data more accessible to non-technical users

TechCrunch

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. The new funding will be used to add more no-code capabilities.

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What is data architecture? A framework to manage data

CIO

Many organizations today are looking to modernize their data architecture as a foundation to fully leverage AI and enable digital transformation. Consulting firm McKinsey Digital notes that many organizations fall short of their digital and AI transformation goals due to process complexity rather than technical complexity.

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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. That’s why we saw an opportunity to provide a no-code to low-code authoring experience for Airflow pipelines.

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Technical interview platform Byteboard spins out of Google’s Area 120, takes on new funding

TechCrunch

Byteboard , a service designed to replace the pre-onsite technical interview part of a company’s hiring process with a web-based alternative, will be spinning out of Google, TechCrunch learned and Google confirmed. A group of experienced engineers review and rate the interviews.

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From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

Use mechanisms like ACID transactions to guarantee that every data update is either fully completed or reliably reversed in case of an error. Features like time-travel allow you to review historical data for audits or compliance. data lake for exploration, data warehouse for BI, separate ML platforms).

Insurance 164