CIO

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 190

Big Data Analytics Data eLearning 190

Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . Prerequisites for deploying CDP Data Engineering on Azure can be found here.

Data Engineering 127

Data Engineering Azure Engineering Enterprise 127

CIO

MARCH 13, 2025

Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. And the challenge isnt just about finding people with technical skills, says Bharath Thota, partner at Kearneys Digital & Analytics Practice.

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Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

AWS Machine Learning - AI

MARCH 13, 2025

In this post, we dive deeper into one of MaestroQAs key featuresconversation analytics, which helps support teams uncover customer concerns, address points of friction, adapt support workflows, and identify areas for coaching through the use of Amazon Bedrock. The best is yet to come.

Generative AI 113

Generative AI CTO Coach AWS Artificial Inteligence 113

AWS Machine Learning - AI

NOVEMBER 20, 2024

Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. Complete the following steps: Choose an AWS Region Amazon Q supports (for this post, we use the us-east-1 Region). aligned identity provider (IdP).

Data 111

Data AWS Groups Knowledge Base 111

Dzone - DevOps

OCTOBER 29, 2024

What Is AWS Redshift Data Sharing? As a data engineer, most of my time will be spent constructing data pipelines from source systems to data lakes , databases , and warehouses. One of the pain points is to have this data distributed to several teams in the organization.

AWS 97

AWS Analytics Data Construction 97

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. The post Cloudera Data Engineering 2021 Year End Review appeared first on Cloudera Blog.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

CIO

MARCH 18, 2025

The company also unwrapped a suite of Experience Platform Agents built on Agent Orchestrator for use within Adobe enterprise applications like Adobe Real-Time CDP, Adobe Experience Manager, Adobe Journey Optimizer, and Adobe Customer Journey Analytics.

B2B 97

B2B B2C Guidelines Analysis 97

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. It’s no longer driven by data volumes, but containerization, separation of storage and compute, and democratization of analytics.

Data Engineering 113

Data Engineering Engineering Data Storage 113

AWS Machine Learning - AI

JULY 10, 2024

Today at the AWS New York Summit, we announced a wide range of capabilities for customers to tailor generative AI to their needs and realize the benefits of generative AI faster. Each application can be immediately scaled to thousands of users and is secure and fully managed by AWS, eliminating the need for any operational expertise.

Artificial Inteligence 141

Artificial Inteligence AWS Generative AI Knowledge Base 141

CIO

OCTOBER 13, 2023

Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

CIO

JANUARY 6, 2023

Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems. Keep an eye out for candidates with certifications such as AWS Certified Cloud Practitioner, Google Cloud Professional, and Microsoft Certified: Azure Fundamentals.

LAN 215

LAN Systems Administration How To Software Engineering 215

CIO

APRIL 2, 2025

In this context, collaboration between data engineers, software developers and technical experts is particularly important. Online courses, boot camps and certificates (such as AWS Machine Learning Specialty or Microsoft Certified: Azure AI Engineer Associate) as well as workshops and conferences. Communication.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

CIO

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. You can intuitively query the data from the data lake.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

TechCrunch

FEBRUARY 7, 2022

Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty. Scalable and data-rich location services are helping consumer-facing business drive transformation and growth along three strategic fronts: Creating richer consumer experiences.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. Both platforms are free to try today.

Data 84

Data Analytics Systems Review Architecture 84

AWS Machine Learning - AI

APRIL 23, 2025

Solution overview The NER & LLM Gen AI Application is a document processing solution built on AWS that combines NER and LLMs to automate document analysis at scale. Click here to open the AWS console and follow along. The endpoint lifecycle is orchestrated through dedicated AWS Lambda functions that handle creation and deletion.

Artificial Inteligence 66

Artificial Inteligence Open Source AWS Serverless 66

TechCrunch

OCTOBER 7, 2021

Now, a startup that is building tools to make it easier for engineers to implement the two simultaneously is announcing a round of growth funding to continue expanding its operations. “But now we are running into the bottleneck of the data. The germination for Gretel.ai military and over the years.

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Artificial Inteligence Engineering Technical Review Data 246

CIO

JUNE 10, 2024

According to a 2023 survey from Access Partnership and Amazon Web Services (AWS) , 92% of employers expect to be using AI-related solutions by 2028 and 93% expect to use generative AI within the upcoming five years. Additionally, the survey found that data analytics and data engineering are the most scarce skills today, with AI skills at No.

Artificial Inteligence 204

Artificial Inteligence Strategy Machine Learning Training 204

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

MAY 21, 2024

In the past, to get at the data, engineers had to plug a USB stick into the car after a race, download the data, and upload it to Dropbox where the core engineering team could then access and analyze it. We introduced the Real-Time Hub,” says Arun Ulagaratchagan, CVP, Azure Data at Microsoft.

Data 190

Data Azure Engineering Analytics 190

Cloudera

SEPTEMBER 2, 2021

At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. The AWS CDE Cluster that ran these tests was configured with 15 r5d.4xlarge fixed sized clusters). 1) Gang Scheduling | Apache YuniKorn (Incubating). (2)

Data Engineering 85

Data Engineering Performance Engineering Data 85

TechCrunch

AUGUST 16, 2022

For example, he says, with just the data from a single previous run, some customers have accelerated their Apache Spark jobs by up to 80% — Apache Spark being the popular analytics source engine for data processing. Self-service support for Databricks on Azure is in the works.

Resources 175

Resources Cloud Engineering AWS 175

TechCrunch

APRIL 12, 2022

While companies find AI’s predictive power alluring, particularly on the data analytics side of the organization, achieving meaningful results with AI often proves to be a challenge. That’s where Flyte comes in — a platform for programming and processing concurrent AI and data analytics workflows.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

Altexsoft

APRIL 16, 2021

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. used for analytical purposes to understand how our business is running. So, we need a solution that’s capable of representing data from multiple dimensions.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

CIO

DECEMBER 16, 2022

The top-earning skills were big data analytics and Ethereum, with a pay premium of 20% of base salary, both up 5.3% Other non-certified skills attracting a pay premium of 19% included data engineering , the Zachman Framework , Azure Key Vault and site reliability engineering (SRE). in the previous six months.

Technical Review 148

Technical Review Analytics AWS SCRUM 148

CIO

JUNE 13, 2024

They form the core of any analytics team and tend to be generalists versed in the methods of mathematical and statistical analysis. The rising demand for data analysts The data analyst role is in high demand, as organizations are growing their analytics capabilities at a rapid clip. billion this year, and would see 19.3%

Data 148

Data Analytics Transportation Business Intelligence 148

TechCrunch

SEPTEMBER 15, 2021

It’s an ETL (extract, transform and load) provider, and it is far from being the only one in the market, with others like Dataiku, Talent, SnapLogic, as well as cloud providers like AWS and Microsoft, among the many trying to address this area. We look forward to supporting the team through its next phase of growth and expansion.”.

Artificial Inteligence 234

Artificial Inteligence Data Weak Development Team Artificial Intelligence 234

AWS Machine Learning - AI

JUNE 18, 2024

On December 6 th -8 th 2023, the non-profit organization, Tech to the Rescue , in collaboration with AWS, organized the world’s largest Air Quality Hackathon – aimed at tackling one of the world’s most pressing health and environmental challenges, air pollution. Having a human-in-the-loop to validate each data transformation step is optional.

Generative AI 130

Generative AI Artificial Inteligence Technical Review AWS 130

AWS Machine Learning - AI

JULY 15, 2024

Years ago, Mixbook undertook a strategic initiative to transition their operational workloads to Amazon Web Services (AWS) , a move that has continually yielded significant advantages. The data intake process involves three macro components: Amazon Aurora MySQL-Compatible Edition , Amazon S3, and AWS Fargate for Amazon ECS.

Generative AI 121

Generative AI Artificial Inteligence AWS Technical Review 121

DevOps.com

JANUARY 27, 2023

Data streams are all the rage. Once a niche element of data engineering, streaming data is the new normal—more than 80% of Fortune 100 companies have adopted Apache Kafka, the most common streaming platform, and every major cloud provider (AWS, Google Cloud Platform and Microsoft Azure) has launched its own streaming service.

Data 133

Data Google Cloud Azure Data Engineering 133

AWS Machine Learning - AI

SEPTEMBER 3, 2024

This allows SageMaker Studio users to perform petabyte-scale interactive data preparation, exploration, and machine learning (ML) directly within their familiar Studio notebooks, without the need to manage the underlying compute infrastructure. This same interface is also used for provisioning EMR clusters.

Serverless 117

Serverless AWS Artificial Inteligence Big Data 117

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. Data Hub – has expanded to support all stages of the data lifecycle: Collect – Flow Management (Apache NiFi), Streams Management (Apache Kafka) and Streaming Analytics (Apache Flink).

Cloud 97

Cloud Artificial Inteligence Machine Learning Data Engineering 97

AWS Machine Learning - AI

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. eSentire has over 2 TB of signal data stored in their Amazon Simple Storage Service (Amazon S3) data lake.

Artificial Inteligence 126

Artificial Inteligence Generative AI AWS Serverless 126

O'Reilly Media - Ideas

JANUARY 29, 2019

Companies are building or evaluating solutions in foundational technologies needed to sustain success in analytics and AI. Data scientists and data engineers are in demand. When asked which were the main skills related to data that their teams needed to strengthen, 44% chose data science and 41% chose data engineering.

Sustainability 108

Sustainability Company Artificial Inteligence Machine Learning 108

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52