ParkMyCloud

DECEMBER 11, 2020

With the combined knowledge from our previous blog posts on free training resources for AWS and Azure , you’ll be well on your way to expanding your cloud expertise and finding your own niche. For help with navigating the platform as you use it, check out GCP’s documentation for a full overview, comparisons, tutorials, and more.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Altexsoft

APRIL 16, 2021

An overview of data warehouse types. Optionally, you may study some basic terminology on data engineering or watch our short video on the topic: What is data engineering. What is data pipeline. OLTP vs OLAP: technology comparison. A comparison chart of OLTP and OLAP database features.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Cloudera

MAY 18, 2021

The intent of this article is to articulate and quantify the value proposition of CDP Public Cloud versus legacy IaaS deployments and illustrate why Cloudera technology is the ideal cloud platform to migrate big data workloads off of IaaS deployments. Experience configuration / use case deployment: At the data lifecycle experience level (e.g.,

Cloud 85

Cloud Technical Review Storage Backup 85

O'Reilly Media - Ideas

JANUARY 25, 2024

Those gains only look small in comparison to the triple- and quadruple-digit gains we’re seeing in natural language processing. This is solid, substantial growth that only looks small in comparison with topics like generative AI. Data engineering deals with the problem of storing data at scale and delivering that data to applications.

Trends 119

Trends Technical Review Technology Artificial Inteligence 119

Mobilunity

MAY 8, 2023

Companies may store and handle data in a safe and lawful way with the assistance of data lake consulting services and financial services data lake solutions. For companies that need to store and process massive amounts of data in a flexible and affordable way, Azure Data Lake services may be helpful.

Engineering 52

Engineering Data Storage AWS 52

ParkMyCloud

MAY 29, 2019

In addition, they also have a strong knowledge of cloud services such as AWS, Google or Azure, with experience on ITSM, I&O, governance, automation, and vendor management. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

O'Reilly Media - Ideas

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. Many respondents acquired certifications.

Survey 145

Survey Data Technical Review Training 145

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

John Snow Labs

MAY 24, 2023

The two important functions of this tool are: – Performing different types of labeling with various data formats. LabelBox LabelBox is an efficient AI Data Engine platform for AI assisted labeling, data curation, model training, and more. It annotates images, videos, text documents, audio, and HTML, etc.

Tools 52

Tools Machine Learning Artificial Inteligence Software Review 52

Altexsoft

APRIL 26, 2022

Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. Modern data pipeline with Snowflake technology as its part. BTW, we have an engaging video explaining how data engineering works. BTW, we have an engaging video explaining how data engineering works.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

AUGUST 19, 2022

Power BI Pro and Power BI Premium (these are sometimes referred to as Power BI Service) are more feature-rich, paid services hosted on the Microsoft Azure cloud. To create the Power BI embedded capacity, you need to have at least one account with Power BI and Azure subscription in your organizational directory. Power BI data sources.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Altexsoft

OCTOBER 2, 2020

Data integration and interoperability: consolidating data into a single view. Specialist responsible for the area: data architect, data engineer, ETL developer. MDM activities include accumulating, cleansing of data, its comparison, consolidation, quality control. Snowflake data management processes.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

OCTOBER 8, 2021

Not to mention that they require a decent level of expertise to develop, deploy, and maintain data integration flows. Now that you have a general picture of what data integration tools are, let’s move to the comparison of popular vendors. How to choose data integration software: key comparison criteria.

Tools 52

Tools Data Software Review Open Source 52

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. This doesn’t apply to cloud ETL, though.

Tools 52

Tools Software Review Systems Review Testing 52

O'Reilly Media - Ideas

JANUARY 25, 2021

We’re just saying that when you make comparisons, you have to be careful about exactly what you’re comparing. The biggest challenge facing operations teams in the coming year, and the biggest challenge facing data engineers, will be learning how to deploy AI systems effectively. The horse race? That’s just what it is.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

O'Reilly Media - Ideas

JANUARY 25, 2022

We used data from the first nine months (January through September) of 2021. When doing year-over-year comparisons, we used the first nine months of 2020. Data analysis” and “data engineering” are far down in the list—possibly indicating that, while pundits are making much of the distinction, our platform users aren’t.

Trends 111

Trends Technical Review Technology Artificial Inteligence 111

O'Reilly Media - Ideas

MARCH 31, 2022

Looking a bit further into the difficulty of hiring for AI, we found that respondents with AI in production saw the most significant skills gaps in these areas: ML modeling and data science (45%), data engineering (43%), and maintaining a set of business use cases (40%). Organizations with an AI governance plan in place.

Enterprise 114

Enterprise Artificial Inteligence Government Budget 114