CIO

JUNE 14, 2023

CDP Generalist The Cloudera Data Platform (CDP) Generalist certification verifies proficiency with the Cloudera CDP platform. 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.

Big Data 310

Big Data Analytics Data eLearning 310

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 61

Data Engineering Engineering Data Software Review 61

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

DECEMBER 16, 2022

The average pay premium paid for another qualification, Certified in the Governance of Enterprise IT (CGEIT) , rose 37.5%, also hitting 11% of base salary. Other non-certified skills attracting a pay premium of 19% included data engineering , the Zachman Framework , Azure Key Vault and site reliability engineering (SRE).

Technical Review 221

Technical Review Analytics AWS SCRUM 221

CIO

JULY 6, 2023

The service also comes with Nvidia’s foundation models, such as BioNeMo and Nvidia Picasso, along with AI training and governance frameworks. AWS offers foundation models via its generative AI-based service Amazon Bedrock , while Microsoft offers APIs for GPT models via its Azure OpenAI service.

Generative AI 222

Generative AI Artificial Inteligence Strategy Google Cloud 222

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 221

Generative AI Artificial Inteligence Open Source ChatGPT 221

Cloudera

OCTOBER 13, 2020

CDP Data Hub: a VM/Instance-based service that allows IT and developers to build custom business applications for a diverse set of use cases with secure, self-service access to enterprise data. . Enrich – Data Engineering (Apache Spark and Apache Hive). Predict – Data Engineering (Apache Spark).

Cloud 92

Cloud Machine Learning Artificial Inteligence Azure 92

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

Apiumhub

NOVEMBER 20, 2023

Andrea Tosato – Software Architect at Open Job Metis Andrea is a green software speaker, Microsoft MVP in Azure, and Developer Technologies, recognized for outstanding contributions. Annis currently thrives in her role at Microsoft, where she delves into the realm of Azure cloud technology.

Fractional CTO 81

Fractional CTO Software CTO Sustainability 81

Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

O'Reilly Media - Ideas

JANUARY 29, 2019

These include data integration and extract, transform, and load (ETL) (60% of respondents indicated they were building or evaluating solutions), data preparation and cleaning (52%), data governance (31%), metadata analysis and management (28%), and data lineage management (21%).

Sustainability 84

Sustainability Company Machine Learning Artificial Inteligence 84

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 108

Data Architecture Analytics Government 108

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

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

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. Public cloud also introduces new challenges in governance, financial management and integration. The term “hyperscale” is used by Gartner to refer to Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Cloud 78

Cloud Google Cloud Azure AWS 78

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 Learn more about Cloudera Data Warehouse on CDP.

Performance 106

Performance Data Comparison Virtualization 106

Mobilunity

MAY 8, 2023

Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone.

Engineering 52

Engineering Data Storage AWS 52

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. Security policies are set once and implemented uniformly upon data and users anywhere.

Cloud 40

Cloud Azure Analytics AWS 40

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. Salaries by State.

Survey 145

Survey Data Technical Review Training 145

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

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. Data Platforms. Data Integration and Data Pipelines. Deep Learning.

Big Data 84

Big Data Technology Tools Cloud 84

O'Reilly Media - Ideas

APRIL 19, 2021

The biggest skills gaps were ML modelers and data scientists (52%), understanding business use cases (49%), and data engineering (42%). Education (10%) and government (16%) were the laggards. 22% use Amazon SageMaker; 16% use Microsoft Azure AutoML; 14% use Google Cloud AutoML; and other tools were all under 10%.

Enterprise 143

Enterprise Survey Weak Development Team Education 143

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

Cloudera

FEBRUARY 17, 2021

Spin up clusters of NiFi, Kafka, or Flink very quickly onto your public cloud environments on AWS or Azure. By making it part of CDP, not only do you just get the simplicity of 1 SKU to purchase but you also get the benefits of CDP and its unified security and governance layer – Cloudera SDX.

Part-Time VPE 60

Part-Time VPE Analytics Leadership eBook 60

InfoWorld

FEBRUARY 9, 2024

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment. In many ways, Fabric is Microsoft’s answer to Google Cloud Dataplex.

Big Data 84

Big Data Azure Google Cloud Data 84

O'Reilly Media - Ideas

JUNE 4, 2019

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. Building APIs with Django REST Framework , June 28.

Course 64

Course Training Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

MAY 1, 2019

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Cloud Computing Governance , May 29.

Course 46

Course Training Artificial Inteligence Machine Learning 46

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare.

Data 349

Data Artificial Inteligence Technical Advisors Technical Review 349

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. What is Microsoft Fabric?

Azure 52

Azure Analytics Storage Generative AI 52

O'Reilly Media - Ideas

JUNE 5, 2019

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. Building APIs with Django REST Framework , June 28.

Course 49

Course Training Artificial Inteligence Software Review 49

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

O'Reilly Media - Ideas

JANUARY 25, 2024

Attendees included small business owners, sales and marketing personnel, and C-suite executives, along with many programmers and engineers from different disciplines. We’ve also been running courses focused on specific industries: Generative AI for Finance had over 2,000 registrations, and Generative AI for Government over 1,000.

Trends 114

Trends Technical Review Technology Artificial Inteligence 114

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

TechCrunch

AUGUST 16, 2022

Sync recently released an API and “autotuner” for Spark on AWS EMR, Amazon’s cloud big data platform, and Databricks on AWS. Self-service support for Databricks on Azure is in the works. With Sync, this can be done with a single click.”

Resources 175

Resources Cloud AWS Engineering 175

O'Reilly Media - Ideas

MARCH 31, 2022

That will no doubt require better tools for collaboration between AI systems and consumers, better methods for training AI models, and better governance for data and AI systems. Education and government were the two sectors with the fewest respondents reporting AI projects in production (9% for both). AI Governance.

Enterprise 107

Enterprise Artificial Inteligence Government Budget 107

CIO

DECEMBER 6, 2023

And the advice it offers Azure OpenAI customers cautions against producing “content on any topic” or using it in “scenarios where up-to-date, factually accurate information is crucial,” which presumably includes news sites.

Generative AI 325

Generative AI Artificial Inteligence Technical Review Weak Development Team 325

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. Amazingly fast table migration.

Cloud 77

Cloud Data Analytics Machine Learning 77