Remove 3-ways-to-speed-up-data-prep
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Practical advice to optimize savings with cloud migrations

CIO

The “unanticipated” costs of not doing the prep work are legion: egress charges, (semi-) failed moves, moving the wrong things/combinations at the wrong times, failure to capture service costs pre-move for comparison, and so many more. nyike The best way to avoid hidden #cloud costs is to read every word in the contract.

Cloud 279
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Self-Service Data Preparation vs ETL: What Would Suit Your Company Best?

Altexsoft

This is a guest article by Fazeel Khan from Data Ladder. If you look up the word “data” on the internet, you’ll find tons of different definitions. But the one we’re discussing in this article is the definition of data as unprocessed or raw information – specifically in business use cases. The Evolution of ETL Technology.

Company 78
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7 Steps of an Effective Software Product Development Life Cycle

KitelyTech

Each step moves the team closer to completing the product in a way that eliminates problems and promotes efficient progress. Idea Validation and Prep. When possible, automation and frameworks can be used to speed up production. Once launched, teams manage the product by providing support and finding ways to improve it.

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How to start speaking at developer events

CircleCI

Speaking at tech events is a goal for many technologists, for good reason: it’s a great way to meet people who share similar interests, raise your profile in a specific community, and sharpen your storytelling and technical skills. Practiced speakers often estimate 40 hours of prep for every hour of speaking time. Have more tips?

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Salesforce Data Migration Best Practices

Trigent

If you are on the verge of building your digital future with Salesforce data migration, you must know that you need to prepare for it. Data migration as part of a Salesforce project is critical as you can’t afford to lose any data. The initial prep work. billion by 2025 at a CAGR of 18.37% from 2020-2025.

Data 52
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Data Science use cases & tools

Apiumhub

Data science continues to evolve as one of the most promising and in-demand career paths and services. It is a forward-looking approach, an exploratory way with the focus on analyzing the past or current data and predicting the future outcomes with the aim of making informed decisions. What is Data Science?

Tools 72
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Volta Labs grabs $20 million to address a growing genomics bottleneck

TechCrunch

It speaks to the speed with which genetics has permeated our lives, but despite massive improvements to the technology, the process can still be a bit clunky in the lab. And that sample has to get prepped the right way. But if you look at the steps for sample prep, it’s still lagging by a large margin.