CIO

MAY 30, 2024

This specialization features five courses, including introduction and applications; prompt engineering basics; foundation models and platforms; impact, considerations, and ethical issues; and business transformation and career growth. Cost : $4,000

Generative AI 206

Generative AI Artificial Inteligence Programming Azure 206

CIO

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

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. Principal implemented several measures to improve the security, governance, and performance of its conversational AI platform.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

CIO

JANUARY 19, 2024

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. It’s a good place to start if you’re new to AI or AI on Azure and want to demonstrate your skills and knowledge to employers.

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

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 210

Data Technical Advisors Technical Review Artificial Inteligence 210

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 190

Big Data Analytics Data eLearning 190

CIO

MARCH 21, 2022

Finance: Data on accounts, credit and debit transactions, and similar financial data are vital to a functioning business. But for data scientists in the finance industry, security and compliance, including fraud detection, are also major concerns. A method for turning data into value.

Analytics 205

Analytics Data Technical Review Analysis 205

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 Engineering AWS 175

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 97

Cloud Artificial Inteligence Machine Learning Data Engineering 97

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 170

Generative AI Artificial Inteligence Strategy Google Cloud 170

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

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 107

Sustainability Company Artificial Inteligence Machine Learning 107

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 148

Technical Review Analytics AWS SCRUM 148

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 78

Big Data Data Azure Google Cloud 78

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. Service endpoint is a simpler implementation to allow resources on a private network to access managed services on Azure Cloud.

Azure 52

Azure Firewall Data Engineering Storage 52

CIO

NOVEMBER 7, 2023

This team has helped the company to align data across business areas; establish a data governance function to enable trust, privacy, and security of the data; and invest in the talent and technology needed to build a holistic data architecture across Lexmark, Gupta says.

Data 213

Data Artificial Inteligence Architecture Analytics 213

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

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

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

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

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

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 110

Performance Data Comparison Virtualization 110

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

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

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 107

Big Data Technology Tools Cloud 107

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 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 82

Data Analytics Government Technical Review 82

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

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

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

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

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 80

Cloud Data Analytics Artificial Inteligence 80

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 83

Fractional CTO Software CTO Sustainability 83

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

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

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

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. When data is about to undergo either archiving or destruction , it’s necessary to retain data intelligently and avoid redundant archived copies.

Strategy 64

Strategy Database Administration Data Technical Review 64