CIO

SEPTEMBER 2, 2022

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

Xebia

JULY 28, 2023

Setup the Azure Service Principal : We want to avoid Personal Tokens that are associated with a specific user as much as possible, so we will use a SP to authenticate dbt with Databricks. For this project, we will use Azure as our Cloud provider. We will call them data-platform-udev and data-platform-uprod.

Cloud 130

Cloud Azure How To Windows 130

Altexsoft

JANUARY 14, 2021

The variety of data explodes and on-premises options fail to handle it. Apart from the lack of scalability and flexibility offered by modern databases, the traditional ones are costly to implement and maintain. At the moment, cloud-based data warehouse architectures provide the most effective employment of data warehousing resources.

Backup 115

Backup Azure Software Review Architecture 115

Mobilunity

AUGUST 3, 2021

Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer?

Big Data 52

Big Data Data Engineering Engineering Data 52

Xebia

OCTOBER 23, 2024

Introduction This blog post will explore how Azure Data Factory (ADF) and Terraform can be leveraged to optimize data ingestion. ADF is a Microsoft Azure tool widely utilized for data ingestion and orchestration tasks. An Azure Key Vault is created to store any secrets.

Azure 130

Azure Software Review Technical Review Resources 130

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

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

CIO

FEBRUARY 13, 2023

Vaithylingam says the College of Southern Nevada will shut down its on-prem data center — one of the largest in Nevada — and plans to fully move all workloads and infrastructure to Microsoft Azure. We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget 218

Budget Artificial Inteligence Technical Review VR 218

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.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

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

Cloudera

MAY 18, 2021

Infrastructure cost optimization by enabling container-based scalability for compute resources based on processing load and by leveraging object storage that has lower price point than compute-attached storage. Experience configuration / use case deployment: At the data lifecycle experience level (e.g., 1 Year Reserved . 13,000-18,500.

Cloud 86

Cloud Technical Review Storage Backup 86

The Citus Data

MARCH 31, 2023

on-demand talk, Citus open source user) 6 Citus engineering talks Citus & Patroni: The Key to Scalable and Fault-Tolerant PostgreSQL , by Alexander Kukushkin who is a principal engineer at Microsoft and lead engineer for Patroni.

Azure 84

Azure Open Source Virtualization Software Engineering 84

Invid Group

AUGUST 28, 2024

AWS, Azure, and Google provide fully managed platforms, tools, training, and certifications to prototype and deploy AI solutions at scale. For instance, AWS Sagemaker, AWS Bedrock, Azure AI Search, Azure Open AI, and Google Vertex AI [3,4,5,6,7].

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

Cloudera

DECEMBER 15, 2022

You can leverage Kubernetes (K8s) and containerization technologies to consistently deploy your applications across multiple clouds including AWS, Azure, and Google Cloud, with portability to write once, run anywhere, and move from cloud to cloud with ease. Performance and scalability. Read why the future of data lakehouses is open.

Cloud 80

Cloud Data Analytics Artificial Inteligence 80

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64

Datavail

JUNE 8, 2023

From DBA to Data Engineer—The Strategic Role of DBAs in the Cloud Over the past few years, the IT landscape has experienced significant disruptions. Doughty also discussed how automation and cloud adoption are changing traditional DBA duties as well as providing a platform for greater efficiency and scalability.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

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. Use cases: moving data from on-premises to cloud or between cloud environments.

Software Review 69

Software Review Software Data Technical Review 69

Palo Alto Networks

AUGUST 23, 2021

we are leveraging ML-based threat detectors against an extensive set of identity data sources, including Active Directory, Identity and Access Management products (including Okta, Ping and Azure AD), human resources (HR) platforms (like Workday) and SASE gateways. With Cortex XDR 3.0,

Cloud 98

Cloud Machine Learning Artificial Inteligence Analytics 98

Cloudera

JANUARY 15, 2021

Cloudera Data Warehouse is a highly scalable service that marries the SQL engine technologies of Apache Impala and Apache Hive with cloud-native features to deliver best-in-class price-performance for users running data warehousing workloads in the cloud. higher cost.

Performance 96

Performance Cloud Data Storage 96

Cloudera

DECEMBER 21, 2020

In our data adventure we assume the following: . There is an environment available on either Azure or AWS, using the company AWS account – note: in this blog, all examples are in AWS. Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake.

Data 97

Data Virtualization Banking Data Engineering 97

Perficient

APRIL 1, 2024

Traditionally, organizations used to provision multiple services of Azure Services, like Azure Storage, Azure Databricks, etc. Fabric enables integration of team of data scientist, data engineers & data analyst on a single unified platform.

Data 64

Data Azure Case Study Data Engineering 64

Exadel

FEBRUARY 20, 2023

If you want to experiment with AI or go live with your solution, there are three widely known vendors: Amazon, Google, and Azure. Vertex AI leverages a combination of data engineering, data science, and ML engineering workflows with a rich set of tools for collaborative teams.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Cloudera

JUNE 7, 2022

Sure we can help you secure, manage, and analyze PetaBytes of structured and unstructured data. We do that on-prem with almost 1 ZB of data under management – nearly 20% of that global total. We can also do it with your preferred cloud – AWS, Azure or GCP. Don’t just take our word for it, look at the stats.

Data 112

Data Architecture Analytics Big Data 112

Cloudera

FEBRUARY 22, 2021

As a result, it is important for an enterprise data platform to enable users to minimize infrastructure costs by providing optionality in terms of both hosting type (public cloud, on-prem or hybrid) and hosting vendor (e.g., AWS, Google or Azure) and thus allow for execution of a use case wherever it is most costs effective to do so.

Data 82

Data Analytics Government Technical Review 82

O'Reilly Media - Ideas

JUNE 4, 2019

Programming with Data: Advanced Python and Pandas , July 9. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. Scalable Data Science with Apache Hadoop and Spark , July 16. Effective Data Center Design Techniques: Data Center Topologies and Control Planes , July 19.

Course 92

Course Training Artificial Inteligence Software Review 92

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

Analytics 20

Analytics Data IoT Analysis 20

Perficient

FEBRUARY 16, 2024

In the world of big data processing, efficient and scalable file systems play a crucial role. DBFS is a distributed file system that comes integrated with Databricks, a unified analytics platform designed to simplify big data processing and machine learning tasks. What is DBFS? How does DBFS work?

System 52

System Storage Azure Big Data 52

Cloudera

SEPTEMBER 28, 2021

Each policy change, or introduction of a new user or new group typically requires interaction between CDP administrators and AWS/Azure administrators and potential changes to existing applications. Let’s say that both Jon and Remi belong to the Data Engineering group. Without RAZ: Group-based access control with IDBroker.

Groups 62

Groups Cloud Data AWS 62

Mobilunity

DECEMBER 9, 2024

ML algorithms for predictions and data-based decisions; Deep Learning expertise to analyze unstructured data, such as images, audio, and text; Mathematics and statistics. Google Professional Machine Learning Engineer implies developers knowledge of design, building, and deployment of ML models using Google Cloud tools.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Cloudera

SEPTEMBER 9, 2018

It enables organizations to address their data warehousing reporting needs by making it quick and easy to consolidate data into a single repository yet still service your users’ needs in a scalable and cost-effective way. This makes it easy to meet the ever-changing needs of your data teams.

Data 40

Data Data Engineering Analytics Cloud 40

Datavail

JUNE 20, 2023

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. Keynotes, breakout sessions, workshops, and panel discussions kept the database conversations going throughout the event.

Open Source 52

Open Source Database Administration Survey AWS 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. They bring data to a single platform giving a cohesive view of the business. Cloudera Data Platform: enterprise data cloud for any data type.

Strategy 64

Strategy Database Administration Data Technical Review 64

InnovationM

MAY 14, 2023

Technologies Behind Data Lake Construction Distributed Storage Systems: When building data lakes, distributed storage systems play a critical role. These systems ensure high availability and facilitate the storage of massive data volumes. Data Ingestion Tools: The journey of constructing a data lake starts with data ingestion.

Data 52

Data Storage Construction Business Intelligence 52

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Still, it’s the number one choice for data-driven companies, and here’re some reasons why. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Mobilunity

DECEMBER 27, 2024

” Cyril Samovskiy, Founder of Mobilunity Tech Stack Proficiency AI-proficient engineers must write clean, efficient, and scalable code, ensuring their AI frameworks run effectively in various environments.

Artificial Inteligence 52

Artificial Inteligence Technical Review Engineering Artificial Intelligence 52

O'Reilly Media - Ideas

JUNE 5, 2019

Programming with Data: Advanced Python and Pandas , July 9. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. Scalable Data Science with Apache Hadoop and Spark , July 16. Effective Data Center Design Techniques: Data Center Topologies and Control Planes , July 19.

Course 69

Course Training Artificial Inteligence Software Review 69