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

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. The null_resource workaround.

Data Engineering 130

Data Engineering Resources Azure Engineering 130

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

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. Try out Cloudera Data Engineering today!

Data Engineering 65

Data Engineering Engineering Data Software Review 65

Xebia

JULY 28, 2023

Introduction In a previous Blog post, I discussed how to manage multiple BigQuery projects with one dbt Cloud project. 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.

Cloud 130

Cloud Azure How To Windows 130

Cloudera

OCTOBER 13, 2020

Over the past year, we’ve not only added Azure as a supported cloud platform, but we have improved the orginal services while growing the CDP-PC family significantly: Improved Services. Enrich – Data Engineering (Apache Spark and Apache Hive). Predict – Data Engineering (Apache Spark). This is Now.

Cloud 103

Cloud Artificial Inteligence Machine Learning Data Engineering 103

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 Artificial Inteligence 40

Cloudera

SEPTEMBER 10, 2021

Shared Data Experience ( SDX ) on Cloudera Data Platform ( CDP ) enables centralized data access control and audit for workloads in the Enterprise Data Cloud. The public cloud (CDP-PC) editions default to using cloud storage (S3 for AWS, ADLS-gen2 for Azure).

Storage 88

Storage Cloud Azure Pharmaceuticals 88

Cloudera

MAY 22, 2018

It was exactly one year ago at Strata London that we introduced the world to Cloudera Altus Data Engineering. We believed that if you empowered data engineers, data scientists, and analysts with self-service tools and access to unlimited data and compute, your organization can accomplish truly great things.

Azure 40

Azure Data Engineering AWS Engineering 40

Xebia

FEBRUARY 25, 2024

In this blog post, we’ll try to demystify MLOps and take you through the process of going from a notebook to your very own industry-grade ML application. Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. What is this thing called MLOps ?

Applications 130

Applications Technical Review Software Review Open Source 130

Cloudera

DECEMBER 11, 2020

In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 More on this later in the blog.

Performance 111

Performance Data Comparison Virtualization 111

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. Blogs & Forums. Google Cloud and Qwiklabs have blogs of their own, perfect for supplemented reading with their trainings.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Xebia

MAY 16, 2023

We’ll explore in this blog how to address the headaches of dealing with different cloud stacks. Our colleagues from GetInData took care of all the interfacing to machine learning platforms on the cloud like Azure ML , Vertex AI and Sagemaker. file with the iris dataset into Kedro pipelines and make it run on Azure.

Cloud 130

Cloud Data Azure Open Source 130

Altexsoft

FEBRUARY 11, 2023

If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

The Citus Data

MARCH 31, 2023

A developer friend of mine prefers to read about what to expect at upcoming events in the narrative form of a blog, rather than having to click in and out of different abstracts on a schedule page. And yes, Citus Con is virtual again this year!

Azure 84

Azure Open Source Virtualization Software Engineering 84

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. The term “hyperscale” is used by Gartner to refer to Amazon Web Services, Microsoft Azure, and Google Cloud Platform. REAN Cloud has expertise working with the hyperscale public clouds.

Cloud 78

Cloud Google Cloud Azure AWS 78

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 102

Performance Cloud Data Storage 102

Cloudera

MAY 13, 2021

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). Fixed Reports / Data Engineering jobs . Fixed Reports / Data Engineering Jobs. Report Format.

Data Engineering 76

Data Engineering Cloud Weak Development Team Resources 76

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

Data 98

Data Virtualization Banking Data Engineering 98

O'Reilly Media - Ideas

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. 64% of the respondents took part in training or obtained certifications in the past year, and 31% reported spending over 100 hours in training programs, ranging from formal graduate degrees to reading blog posts.

Survey 145

Survey Data Technical Review Training 145

Perficient

APRIL 1, 2024

Traditionally, organizations used to provision multiple services of Azure Services, like Azure Storage, Azure Databricks, etc. This data needs to be ingested on a real-time basis into the warehouse, for further usage by the data scientist & data analyst team.

Data 64

Data Azure Case Study Data Engineering 64

Cloudera

JUNE 15, 2021

This blog will walk through how to deploy a Private Cloud Base cluster, with security, with a minimum of human interaction. If you are using VMs in Azure or AWS the Default credentials will be automatically collected from your local user profile (.aws infra_type can be omitted, "aws", "azure" or "gcp". aws or.azure directories).

Cloud 87

Cloud AWS Azure Linux 87

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. Read why the future of data lakehouses is open.

Cloud 85

Cloud Data Analytics Artificial Inteligence 85

Cloudera

FEBRUARY 8, 2022

COD enables customers to deliver prototypes within an hour in a cloud of your choice — AWS and Azure are generally available, GCP is available in Tech Preview — with the power to effortlessly scale to petabytes of data. In addition, COD delivers a significant TCO reduction relative to existing HBase deployments. .

System 71

System Cloud Azure AWS 71

Cloudera

SEPTEMBER 28, 2021

We covered the value this new capability provides in a previous blog. RAZ for S3 and RAZ for ADLS introduce FGAC and Audit on CDP’s access to files and directories in cloud storage making it consistent with the rest of the SDX data entities. Let’s say that both Jon and Remi belong to the Data Engineering group.

Groups 65

Groups Cloud Data AWS 65

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. appeared first on Palo Alto Networks Blog. With Cortex XDR 3.0,

Cloud 98

Cloud Machine Learning Artificial Inteligence Analytics 98

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. Additionally, he highlighted the need for DBAs to have a deep understanding of cloud platforms like Amazon Web Services (AWS) and Microsoft Azure.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Xebia

JANUARY 9, 2024

This dashboard is in the form of one single HTML file, including all the required data in a base64 encoded json string. You can let Elementary automatically upload this dashboard file to object storage such as GCS , S3 , or Azure Blob. Please leave me a message if you have any questions or remarks about this blog post.

Testing 130

Testing Data Open Source Applications 130

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. We will only cover AWS and S3 environments in this blog. We will leave a deeper dive for a future blog post.

Data 85

Data How To AWS Examples 85

O'Reilly Media - Ideas

JANUARY 25, 2024

Rachel Stephens provides two fascinating pieces of the puzzle in a recent article on the RedMonk blog , but those pieces don’t fit together exactly. Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6% SQL Server also showed a 5.3%

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

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. Let us work with you on your hybrid data journey.

Data 118

Data Architecture Analytics Big Data 118

Datavail

JUNE 15, 2023

The Microsoft Fabric announcement at Microsoft Build 2023 has caused quite a stir in the data and analytics world. Microsoft Fabric is an all-in-one analytics solution that brings together seven Azure services on a shared SaaS foundation, in a unified experience combined with AI. Both structured and unstructured data are supported.

Azure 52

Azure Analytics Storage Generative AI 52

Perficient

FEBRUARY 16, 2024

In the world of big data processing, efficient and scalable file systems play a crucial role. In this blog post, we’ll explore into what DBFS is, how it works, and provide examples to illustrate its usage. DBFS provides a unified interface to access data stored in various underlying storage systems. What is DBFS?

System 52

System Storage Azure Big Data 52

Cloudera

SEPTEMBER 9, 2018

This makes it easy to meet the ever-changing needs of your data teams. Because Cloudera Altus Data Warehouse operates directly over data in your AWS or Microsoft Azure account, you can create security policies that comply with your company’s standards. Using Cloudera Altus for your cloud data warehouse.

Data 40

Data Data Engineering Analytics Cloud 40

Cloudera

NOVEMBER 6, 2017

A noteworthy point is that Cloudera complements popular cloud services, such as Amazon Web Services (AWS) and Microsoft Azure. Simply choose the AWS or Azure compute instances, class of storage, and go. Check back for Part 3 of 3, coming soon… The post Cloudera in the Cloud (Part 2) appeared first on Cloudera Blog.

Cloud 40

Cloud Azure Analytics AWS 40

OpenCredo

FEBRUARY 6, 2024

This use case was chosen because it involves semi-structured documents with quite a high density of information, rather than free flowing and verbose texts such as this blog post, so could present more of a challenge for the application. The two main services we will be using are AWS Bedrock and Azure OpenAI.

Artificial Inteligence 59

Artificial Inteligence Knowledge Base AWS Azure 59

Cloudera

SEPTEMBER 1, 2020

In addition, DDE is certified with all Data Hub Flow Management templates in CDP Data Hub, in case you want to ingest data to Solr via NiFi, for instance, useful in cases where events or log data is what you need to make it searchable, in real-time. Before you Get Started. solrctl collection -- request - status req_0.

Data 72

Data Backup Disaster Recovery Storage 72