Xebia

MARCH 2, 2025

Deployment isolation: Handling multiple users and environments During the development of a new data pipeline, it is common to make tests to check if all dependencies are working correctly. Let’s see through an example. Therefore, we can just run databricks bundle deploy command, to deploy on dev target.

Resources 130

Resources Testing Metrics Data Engineering 130

AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. By integrating QnABot with Azure Active Directory, Principal facilitated single sign-on capabilities and role-based access controls.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

CIO

APRIL 22, 2022

Organizations need data scientists and analysts with expertise in techniques for analyzing data. Data scientists are the core of most data science teams, but moving from data to analysis to production value requires a range of skills and roles.

Data 210

Data Machine Learning Artificial Inteligence Analytics 210

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. For example, ability to work on the resources as a team in a collaborative manner or ability to revert changes that introduced bugs. When they do, null_resource part should not be necessary anymore.

Data Engineering 130

Data Engineering Resources Azure Engineering 130

TechCrunch

AUGUST 16, 2022

” Chou claims that Sync doesn’t require much in the way of historical data to begin optimizing data pipelines and provisioning low-level cloud resources. Sync recently released an API and “autotuner” for Spark on AWS EMR, Amazon’s cloud big data platform, and Databricks on AWS.

Resources 175

Resources Cloud Engineering AWS 175

Cloudera

APRIL 30, 2021

Cloudera Data Engineering (CDE) is a cloud-native service purpose-built for enterprise data engineering teams. CDE is already available in CDP Public Cloud (AWS & Azure) and will soon be available in CDP Private Cloud Experiences. Here is an example showing a simple PySpark program querying an ACID table.

Data Engineering 65

Data Engineering Engineering Data Software Review 65

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

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

CIO

MARCH 21, 2022

Businesses typically rely on keywords to make sense of unstructured data to pull out relevant data using searchable terms. Semi-structured data falls between the two. It doesn’t conform to a data model but does have associated metadata that can be used to group it. A method for turning data into value.

Analytics 205

Analytics Data Technical Review Analysis 205

ParkMyCloud

JULY 30, 2019

Have you been hearing a lot about Azure Databricks lately? DBU for their Standard product on the Data Engineering Light tier to $0.55 for the Premium product on the Data Analytics tier. Helpfully, they do offer online calculators for both Azure and AWS to help estimate cost including underlying infrastructure.

Azure 40

Azure AWS Analytics Machine Learning 40

Cloudera

FEBRUARY 12, 2024

In this blog, we’ll take you through our tried and tested best practices for setting up your DNS for use with Cloudera on Azure. Most Azure users use hub-spoke network topology. DNS servers are usually deployed in the hub virtual network or an on-prem data center instead of in the Cloudera VNET.

Azure 52

Azure Firewall Data Engineering Storage 52

Altexsoft

JUNE 29, 2021

For example, Netflix takes advantage of ML algorithms to personalize and recommend movies for clients, saving the tech giant billions. MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

CIO

FEBRUARY 13, 2023

For example, New York-Presbyterian Hospital, which has a network of hospitals and about 2,600 beds, is deploying over 150 AI and VR/AR projects this year across all clinical specialties. For example, the hospital wants the ability to look at imaging and pathology data so staff can better diagnose patients faster and quicker, he says.

Budget 218

Budget Artificial Inteligence Technical Review VR 218

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. Boilerplate code Using the SDK from the cloud platform itself — say, Azure ML, Sagemaker, or Vertex AI — introduces some complexities. The goal is to refactor a simple train.py

Cloud 130

Cloud Data Azure Open Source 130

CIO

NOVEMBER 7, 2023

It’s easy to see why breaking down barriers to data access would be appealing. But what exactly is involved in breaking down data silos? Here are a few examples of organizations that have found the answers. Lexmark uses a data lakehouse architecture that it built on top of a Microsoft Azure environment.

Data 213

Data Artificial Inteligence Architecture Analytics 213

Xebia

FEBRUARY 25, 2024

Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. You could argue the same about the data engineering step (2) , although this differs per company.

Applications 130

Applications Technical Review Software Review Open Source 130

Altexsoft

JANUARY 14, 2021

A data warehouse acts as a single source of truth, providing the most recent or appropriate information. Time-variant relates to the data warehouse consistency during a particular period when data is carried into a repository and stays unchanged. What specialists and their expertise level are required to handle a data warehouse?

Backup 115

Backup Azure Software Review Architecture 115

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

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

Altexsoft

APRIL 16, 2021

Despite the variety and complexity of data stored in the corporate environment, everything is typically recorded in simple columns and rows. This is a classic spreadsheet look we’re all familiar with, and that’s how most databases file data. An example of database tables, structuring music by artists, albums, and ratings dimensions.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

CIO

JULY 14, 2023

To get good output, you need to create a data environment that can be consumed by the model,” he says. You need to have data engineering skills, and be able to recalibrate these models, so you probably need machine learning capabilities on your staff, and you need to be good at prompt engineering.

Generative AI 148

Generative AI Artificial Inteligence Open Source ChatGPT 148

Cloudera

MAY 18, 2021

That is accomplished by delivering most technical use cases through a primarily container-based CDP services (CDP services offer a distinct environment for separate technical use cases e.g., data streaming, data engineering, data warehousing etc.) For example, Spark 3.x As an example: . 1 Year Reserved .

Cloud 86

Cloud Technical Review Storage Backup 86

Cloudera

MAY 13, 2021

For example, a user identified by “3xksle8z” runs only 3% of the queries, yet consumes far more memory than any other user, consuming about 5.9 For example, we see a large number of joins in these queries: Too many joins and inline views characterize inefficiently written SQL. Fixed Reports / Data Engineering jobs .

Data Engineering 73

Data Engineering Cloud Weak Development Team Resources 73

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

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

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 Machine Learning Artificial Inteligence Software Review 64

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

Xebia

JANUARY 9, 2024

In my opinion, it is very interesting to see how data quality is improving or regressing over time. For example when you take certain actions in the source systems (e.g. fixing a record with issues) , it is nice to see what effect it has on your overall data quality. This is where the dbt artifacts come into play.

Testing 130

Testing Data Open Source Applications 130

Cloudera

JUNE 15, 2021

In some instances (perhaps development environments) it may be desirable to deploy CDP Private Cloud on EC2, Azure VMs or GCE however it should be noted that there are significant cost, performance and agility advantages to using CDP Public Cloud for any public-cloud workloads. infra_type can be omitted, "aws", "azure" or "gcp".

Cloud 86

Cloud AWS Azure Linux 86

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Temporal data and time-series analytics. Foundational data technologies. Deep Learning.

Big Data 108

Big Data Technology Tools Cloud 108

O'Reilly Media - Ideas

JUNE 4, 2019

Learning Python 3 by Example , July 1. AWS Certified Big Data - Specialty Crash Course , June 26-27. Azure Architecture: Best Practices , June 28. Exam AZ-300: Microsoft Azure Architect Technologies Crash Course , July 11-12. Google Cloud Certified Associate Cloud Engineer Crash Course , July 15-16.

Course 92

Course Training Artificial Inteligence Software Review 92

Cloudera

JANUARY 15, 2021

As depicted in the chart, Cloudera Data Warehouse ran the benchmark with significantly better price-performance than any of the other competitors tested. Compared to CDW, Amazon Redshift ran the workload at 19% higher cost, Azure Synapse Analytics had 43% higher cost, DW1 had 79% higher cost, and DW2 had 5.5x higher cost.

Performance 96

Performance Cloud Data Storage 96

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Read why the future of data lakehouses is open. Enhanced multi-function analytics.

Cloud 80

Cloud Data Analytics Machine Learning 80

Prisma Clud

JANUARY 15, 2025

In this article, well look at how you can use Prisma Cloud DSPM to add another layer of security to your Databricks operations, understand what sensitive data Databricks handles and enable you to quickly address misconfigurations and vulnerabilities in the storage layer. Databricks is often used for core operational or analytical workloads.

Artificial Inteligence 52

Artificial Inteligence Cloud Data Storage 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

DataRobot

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. 3) Data professionals come in all shapes and forms. DataRobot Data Prep.

Trends 52

Trends Azure Conference Media 52

Cloudera

SEPTEMBER 9, 2020

This blog post will present a simple “hello world” kind of example on how to get data that is stored in S3 indexed and served by an Apache Solr service hosted in a Data Discovery and Exploration cluster in CDP. Azure and ADLS deployment options are also available in tech preview, but will be covered in a future blog post.

Data 84

Data How To AWS Examples 84