Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

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 106

Performance Data Comparison Virtualization 106

O'Reilly Media - Ideas

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. Learning new skills and improving old ones were the most common reasons for training, though hireability and job security were also factors. Women were more likely than men to have advanced degrees, particularly PhDs.

Survey 145

Survey Data Technical Review Training 145

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

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 52

Data Storage Construction Business Intelligence 52

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 97

Data Virtualization Banking Data Engineering 97

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 91

Performance Cloud Data Storage 91

Mobilunity

MAY 8, 2023

Analytics zone is where data analysts and data scientists can access the data to perform queries, generate reports, and create models. The analytics zone may include tools for data visualization, machine learning, and predictive analytics. As a result, service providers may charge less for their services.

Engineering 52

Engineering Data Storage AWS 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. Let us work with you on your hybrid data journey.

Data 107

Data Architecture Analytics Government 107

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 150

Azure Linux Technical Review Course 150

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. 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.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

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. Machine learning operations: what and why MLOps, what the fuzz? MLOps stands for machine learning (ML) operations. What is this thing called MLOps ?

Applications 130

Applications Technical Review Software Review Azure 130

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

Datavail

JUNE 8, 2023

Attendees were able to explore solutions and strategies to help them unlock the power of their data and turn it into actionable insights. The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Perficient

FEBRUARY 16, 2024

In this blog post, we’ll explore into what DBFS is, how it works, and provide examples to illustrate its usage. 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

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

Datavail

JUNE 15, 2023

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. Data Factory : A data integration tool with 150+ connectors to cloud and on-premises data sources. Both structured and unstructured data are supported.

Azure 52

Azure Analytics Storage Generative AI 52

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 68

Data Engineering Cloud Weak Development Team Resources 68

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. PyTorch, the Python library that has come to dominate programming in machine learning and AI, grew 25%. Interest in data warehouses saw an 18% drop from 2022 to 2023.

Trends 121

Trends Technical Review Technology Artificial Inteligence 121

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 76

Cloud Data Analytics Machine Learning 76

Palo Alto Networks

AUGUST 23, 2021

We wanted to provide a modern cloud-based platform leveraging the latest in machine learning, analytics and automation to fight the many cyber attacks businesses face every day. Cortex XDR’s Third-Party Data Engine Now Delivers the Ability to Ingest, Normalize, Correlate, Query and Analyze Data from Virtually Any Source.

Cloud 91

Cloud Machine Learning Artificial Inteligence Analytics 91

DataRobot

SEPTEMBER 14, 2021

AI Cloud brings together any type of data, from any source, giving you a unique, global view of insights that drive your business. All of this is part of a unified, integrated platform spanning data engineering, machine learning, decision intelligence, and continuous AI – the entire AI lifecycle.

Cloud 52

Cloud Data Center Machine Learning Artificial Inteligence 52

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Data lakes are mostly used by data scientists for machine learning projects.

Data 76

Data Storage Analytics Data Center 76

Cloudera

MARCH 6, 2018

The real power in machine learning and analytics is when multiple analytics disciplines are able to work together in concert, sharing data in service of solving more complex and more valuable questions. Altus SDX creates a common catalog of data, defining what is available and how it can be used by whom.

Analytics 40

Analytics Cloud Big Data AWS 40

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

Altexsoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. In truth, ML involves an enormous amount of repetitive manual operations, all hidden behind the scenes.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

UruIT

JULY 23, 2019

Most recommended development and deployment platforms for machine learning projects. Are you getting started with Machine Learning? There’s a forecasted demand for Machine Learning among all kinds of industries. Innovative machine learning products and services on a trusted platform.

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. Each unlocking value in the data engineering workflows enterprises can start taking advantage of. Usage Patterns.

Data Engineering 110

Data Engineering Engineering Data Storage 110

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.) Machine Learning Prototypes. 1 Year Reserved . 13,000-18,500.

Cloud 83

Cloud Technical Review Storage Backup 83

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 76

Data Analytics Government Technical Review 76