CIO

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. The course includes hands-on projects to help build a portfolio to showcase your data science talents to potential employers.

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. The importance of using AI for data ops is critical.

Analytics 217

Analytics KPI IoT Azure 217

Linux Academy

MAY 7, 2019

Microsoft has restructured its Azure certifications into a role-based model that it states will more directly focus on the building of skills and knowledge aligned to job roles. And there currently are seven Azure based certifications spread across these three levels. Microsoft Certified Azure Administrator ( Associate ).

Azure 60

Azure Linux Technical Review Course 60

O'Reilly Media - Ideas

MARCH 6, 2019

Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. Certified Blockchain Solutions Architect (CBSA) Certification Crash Course , April 2. Data science and data tools. Data Structures in Java , April 1.

Course 15

Course Artificial Inteligence Training Machine Learning 15

Xebia

MAY 31, 2022

Most of the online resources suggest to use Azure Data factory (ADF ) in Git mode instead of Live mode as it has some advantages. This separation allows Platform and Data Engineering parts of the team to be as efficient as possible and use languages they are the most used to. Conclusion.

Data Engineering 130

Data Engineering Resources Azure Engineering 130

CIO

MARCH 21, 2022

If you want to develop certain skillsets to meet specific industry needs, there are online classes, boot camps, and professional development courses that can help hone your skills. A method for turning data into value. 15 data science certifications that will pay off.

Analytics 205

Analytics Data Technical Review Analysis 205

O'Reilly Media - Ideas

JUNE 5, 2019

Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. Certified Blockchain Solutions Architect (CBSA) Certification Crash Course , July 25. Engineering Mentorship , June 24. Rust Programming: A Crash Course , July 29.

Course 67

Course Training Artificial Inteligence Software Review 67

O'Reilly Media - Ideas

FEBRUARY 18, 2020

The results for data-related topics are both predictable and—there’s no other way to put it—confusing. Starting with data engineering, the backbone of all data work (the category includes titles covering data management, i.e., relational databases, Spark, Hadoop, SQL, NoSQL, etc.). This follows a 3% drop in 2018.

Technical Review 145

Technical Review Microservices Data Engineering Architecture 145

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

O'Reilly Media - Ideas

MAY 1, 2019

Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20.

Course 60

Course Training Artificial Inteligence Machine Learning 60

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. Pluralsight is a technology skills platform that offers a full breadth of Google Cloud courses, learning paths, and skills assessments.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Xebia

MAY 16, 2023

Our colleagues from GetInData took care of all the interfacing to machine learning platforms on the cloud like Azure ML , Vertex AI and Sagemaker. This means that your code can be written once — in Python, of course — and run on basically any cloud platform, making your pipeline more portable and flexible.

Cloud 130

Cloud Data Azure Open Source 130

Xebia

FEBRUARY 25, 2024

DevOps may sound familiar, but nowadays there are a lot more terms: LLMOps, LegOps (no, not Lego-Ops), and of course MLOps. Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. Most enterprise ML platforms (Vertex AI, Azure ML, Sagemaker) integrate with MLflow.

Applications 130

Applications Technical Review Software Review Open Source 130

Altexsoft

FEBRUARY 11, 2023

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

Data 87

Data Data Engineering Big Data Architecture 87

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

ParkMyCloud

JANUARY 17, 2020

Each of the ‘big three’ cloud providers (AWS, Azure, GCP) offer a number of cloud certification options that individuals can get to validate their cloud knowledge and skill set, while helping them advance in their careers and broaden the scope of their achievements. . Microsoft Azure Certifications. Azure Fundamentals.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Temporal data and time-series analytics. Forecasting Financial Time Series with Deep Learning on Azure”. Foundational data technologies. Machine learning and AI require data—specifically, labeled data for training models. Many universities are offering courses; some like UC Berkeley have multiple courses.

Big Data 108

Big Data Technology Tools Cloud 108

Apiumhub

AUGUST 12, 2021

His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. Steef-Jan is a board member of the Dutch Azure User Group, a regular speaker at conferences and user groups, and he writes for InfoQ, and Serverless Notes. Twitter: ?? Twitter: [link] Linkedin: [link].

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Cloudera

SEPTEMBER 9, 2020

Azure and ADLS deployment options are also available in tech preview, but will be covered in a future blog post. There are of course more advanced data pipeline setups and more rich schemas possible, but this is a good starting point for a beginner. . We will only cover AWS and S3 environments in this blog.

Data 84

Data How To AWS Examples 84

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

Mobilunity

DECEMBER 27, 2024

Data Handling and Big Data Technologies Since AI systems rely heavily on data, engineers must ensure that data is clean, well-organized, and accessible. Do AI Engineer skills incorporate cloud computing? How important are soft skills for AI engineers?

Artificial Inteligence 52

Artificial Inteligence Technical Review Engineering Artificial Intelligence 52

Cloudera

SEPTEMBER 1, 2020

Although not elaborated on in this blog post, it is possible to use a CDP Data Hub Data Engineering cluster for pre-processing data via Spark, and then post to Solr on DDE for indexing and serving. The advantage with cloud is of course the transient allocation of resources. Click Provision Cluster.

Data 71

Data Backup Disaster Recovery Storage 71

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. Data Management Platforms (DMPs) support long-term data management strategies. Snowflake data management processes.

Strategy 64

Strategy Database Administration Data Technical Review 64

Mobilunity

DECEMBER 9, 2024

Google Professional Machine Learning Engineer implies developers knowledge of design, building, and deployment of ML models using Google Cloud tools. It includes subjects like data engineering, model optimization, and deployment in real-world conditions.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Altexsoft

AUGUST 29, 2023

This article explains what a data lake is, its architecture, and diverse use cases. The goal is to provide a comprehensive guide that can be a navigational tool for all specialists plotting their course in today’s data-driven world. What is a data lake? Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

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 Data Engineering 52

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. It’s quite hard to criticize Kafka since for now, it serves as a gold standard in the world of data streaming.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

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

JULY 19, 2022

As the picture above clearly shows, organizations have data producers and operational data on the left side and data consumers and analytical data on the right side. Data producers lack ownership over the information they generate which means they are not in charge of its quality. It works like this.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

NOVEMBER 5, 2021

The heart of the entire HI infrastructure is an electronic health record ( EHR ) system that handles vital information about patients and their course of treatment. Roundings done for numerical values (like body temperature or drug dosage) or peculiarities omitted in the clinical documentation may impact the course of treatment.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

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. Tools to build an ELT pipeline.

Tools 52

Tools Software Review Systems Review Testing 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

Mobilunity

NOVEMBER 11, 2024

Here are some of the most common ones: Of course, those above are only a few strategies. Prompting engineering methodology is quite an evolving area that has much more to offer. To summarize: LLM engineering covers a broader scope of work like building and supporting large language models.

Artificial Inteligence 52

Artificial Inteligence Handbook Engineering Technical Review 52

Existek

SEPTEMBER 28, 2023

Monitoring and maintenance: After deployment, AI software developers monitor the performance of the AI system, address arising issues, and update the model as needed to adapt to changing data distributions or business requirements. Of course, developers shouldn’t be required to belong to the top global hubs like Silicon Valley.

Artificial Inteligence 52

Artificial Inteligence Development How To Technical Review 52

Altexsoft

NOVEMBER 10, 2021

Your company looks for the versatility of data management and analytics use cases from BI to AI. You want to improve data security, reliability, and compliance while still keeping big data in the low-cost lake storage. Of course, there may be other motivations behind moving to a data lakehouse.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. Data engineering was the dominant topic by far, growing 35% year over year. That growth is easy to understand.

Trends 144

Trends Technical Review Technology Software Review 144