TechCrunch

NOVEMBER 18, 2021

In the early 2000s, most business-critical software was hosted on privately run data centers. But with time, enterprises overcame their skepticism and moved critical applications to the cloud. Data engineers play with tools like ETL/ELT, data warehouses and data lakes, and are well versed in handling static and streaming data sets.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

Dataiku

JUNE 15, 2022

One key to more efficient, effective AI model and application development is executing workloads on compute platforms that offer high scalability, performance, and concurrency.

Data Engineering 59

Data Engineering Engineering Data Development 59

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

CIO

JANUARY 22, 2024

Key elements of this foundation are data strategy, data governance, and data engineering. A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data. This is the overarching guidance that drives digital transformation.

Generative AI 246

Generative AI Healthcare Artificial Inteligence Fractional CTO 246

Cloudera

OCTOBER 19, 2021

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. This makes our pipeline engine flexible to support multitude of orchestration services.

Data Engineering 120

Data Engineering Engineering Data Virtualization 120

TechCrunch

OCTOBER 11, 2022

Life science businesses like big pharmaceutical companies have a singular set of needs when it comes to building applications. Their models and algorithms tend to be more sophisticated and data-intensive than most industries. We positioned ourselves from the get-go for rapid growth. So we were focused on revenue initially.

Development 248

Development Pharmaceuticals Data Engineering Engineering 248

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

Cloudera

APRIL 30, 2021

Apache Spark is now widely used in many enterprises for building high-performance ETL and Machine Learning pipelines. Cloudera Data Engineering (CDE) is a cloud-native service purpose-built for enterprise data engineering teams. Create a resource for the application file. Create the CDE job. Run the job.

Data Engineering 65

Data Engineering Engineering Data Software Review 65

TechBeacon

MAY 13, 2022

DevOps teams know the drill: Create an environment, prepare the infrastructure, and align the elements for performance. Account for growth, being fully aware that as the application nears production, usage and resource allocation will scale. Perhaps someone even sharded databases so there's wiggle room for expansion.

Data Engineering 52

Data Engineering Engineering Data DevOps 52

Cloudera

AUGUST 20, 2020

This blog illustrates how Cloudera Data Engineering (CDE), using Apache Spark , can be used to produce reports based on the PPP data while addressing each of the challenges outlined above. A mock scenario for the Texas Legislative Budget Board (LBB) is set up below to help a data engineer manage and analyze the PPP data.

Data Engineering 65

Data Engineering Engineering Programming Data 65

CIO

JULY 6, 2023

OCI’s Supercluster includes OCI Compute Bare Metal, which provides an ultralow-latency remote direct access memory (RDMA) over a Converged Ethernet (RoCE) cluster for low-latency networking, and a choice of high-performance computing storage options.

Generative AI 284

Generative AI Artificial Inteligence Strategy Google Cloud 284

Cloudera

FEBRUARY 9, 2021

In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database. But first, let’s look at the different form factors in which Cloudera Operational Database is available to developers: Public cloud: CDP Data Hub Operational Database template .

Applications 104

Applications Development Storage Database Administration 104

CIO

NOVEMBER 9, 2022

But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities.

Analytics 342

Analytics Metrics Government Business Intelligence 342

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. The vice president of IT is responsible for overseeing specific aspects of the organization’s IT operations, whether it’s infrastructure, security, data management, or applications.

Technical Review 291

Technical Review Software Review Systems Review Software Engineering 291

TechCrunch

AUGUST 4, 2022

“Most BI tools are thin applications with no data engine of their own, and only as fast as the database they sit atop. Rill, on the other hand, is a thick application that comes with its own embedded in-memory OLAP engine ( DuckDB in Rill Developer, and Apache Druid in Rill Cloud).

Open Source 246

Open Source Metrics Business Intelligence Enterprise 246

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 318

Big Data Analytics Data eLearning 318

Xebia

MAY 16, 2023

Data Engineers were tempted by the pressure of the moment to give up on testing all together. There was no need for generating your own data; just take a percentage of production data. In many cases, these tasks ended up on the shoulders of the Data Engineers themselves. Overly restrictive governance.

Testing 130

Testing How To Data Engineering Engineering 130

CIO

JANUARY 17, 2023

It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to automate or outsource much of the mundane maintenance work and focus internal resources on data analysis. It’s not a good use of our time either.”

Data Engineering 316

Data Engineering Engineering Data CTO Coach 316

CIO

FEBRUARY 14, 2023

Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events.

Artificial Inteligence 291

Artificial Inteligence Strategy Data Machine Learning 291

TechCrunch

JULY 12, 2022

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Systems use features to make their predictions. “We are still in the early innings of MLOps.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

The Crazy Programmer

NOVEMBER 6, 2021

Big Data Engineer. Another highest-paying job skill in the IT sector is big data engineering. And as a big data engineer, you need to work around the big data sets of the applications. Not only this, but you also need to use coding skills, data warehousing, and visualizing skills.

Artificial Inteligence 290

Artificial Inteligence Blockchain Artificial Intelligence Software Review 290

Altexsoft

JUNE 11, 2021

In simple words, it’s about finding out how the processes are actually performed to discover problems and areas for improvement. The control-flow perspective is about the order of activities, and the goal here is to find the optimal path of performing a process. Process mining applications. Process mining ?an

Applications 69

Applications Weak Development Team Systems Review Software Review 69

CIO

MARCH 12, 2024

But early returns indicate the technology can provide benefits for the process of creating and enhancing applications, with caveats. Gen AI is playing a role in assisting with performing code reviews and early detection of potential issues.” Gen AI is also reducing the time needed to complete testing, via automation, Ramakrishnan says.

Software Development 329

Software Development Software Review Weak Development Team Software 329

CIO

SEPTEMBER 29, 2023

AI image processing enables organizations to analyze and extract data from documents such as invoices, purchase orders, packing lists, receipts, and more. It also has important applications in the healthcare industry, contributing to analyzing medical imaging from MRI and CT scans.

Generative AI 357

Generative AI ChatGPT Machine Learning Artificial Inteligence 357

Dzone - DevOps

FEBRUARY 20, 2023

In software engineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go.

Software Engineering 59

Software Engineering Engineering Software Data 59

Perficient

MARCH 23, 2023

Databricks Streaming and Apache Flink are two popular stream processing frameworks that enable developers to build real-time data pipelines, applications and services at scale. Comparison Databricks is an integrated platform for data engineering, machine learning, data science and analytics built on top of Apache Spark.

Data 83

Data Machine Learning Artificial Inteligence Data Engineering 83

CIO

APRIL 12, 2023

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores.

Artificial Inteligence 363

Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

Tools 76

Tools Data Engineering Analytics Testing 76

CIO

JUNE 7, 2022

Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results. Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance.

Analytics 339

Analytics Data Analysis Business Analytics 339

Kentik

APRIL 12, 2023

With modern networks’ increasing complexity and scale, it has become essential to collect and analyze data from various sources to gain insights into network performance, security, and availability. DataOps team roles In a DataOps team, several key roles work together to ensure the data pipeline is efficient, reliable, and scalable.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

TechCrunch

JANUARY 26, 2022

Firebolt’s customers — which include big tech companies, business intelligence firms, and any customer-facing business that needs to parse a lot of information to in turn serve information to users in real time and run back-end data applications — typically use multiple vendors when it comes to how they handle their data.

Analytics 218

Analytics Data Big Data Business Intelligence 218

CIO

JANUARY 16, 2024

Still, to ensure workers gain the most out of the tools, Mayar suggested multimodal LLMs combining structured datasets and unstructured data should be designed smaller and for specific tasks. More benefit may come from a process or technology improvement instead of broad application of AI to ‘fix’ problems,” he says.

Generative AI 327

Generative AI Technical Advisors Artificial Inteligence CTO Coach 327

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

Hacker Earth Developers Blog

NOVEMBER 27, 2023

This includes high-demand roles like Full stack- Django/React, Full stack- Django/Angular, Full stack- Django/Spring/ React, Full stack- Django/Spring/Angular, Data engineer, and DevOps engineer. This is a desktop application which recruiters can opt for when they want to ensure strict proctoring during assessments.

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ChatGPT Recruiting Windows Testing 130

Cloudera

AUGUST 3, 2022

In the coming months we will enhance this to make it even easier with minimal to no code changes in your applications, while being performant and without limiting the Spark APIs used. If you are already a user of HWC, you can continue using hive.executeQuery() or hive.sql() in your Spark application to obtain the data securely. .

Policies 90

Policies Machine Learning Artificial Inteligence Data Engineering 90

Cloudera

NOVEMBER 19, 2021

Once a model is deployed, ensuring peak operational performance becomes the challenge. . Streamlining and optimising foundational activities has the knock-on effect of ensuring that ML applications deliver continuous business value for as long as possible, and that the models can be easily retired once they’ve run their useful course.

Machine Learning 122

Machine Learning Artificial Inteligence eBook Sustainability 122

Cloudera

OCTOBER 13, 2020

CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data. Enrich – Data Engineering (Apache Spark and Apache Hive). Serve – Operational Database (Apache HBASE), Data Exploration (Apache Solr) .

Cloud 97

Cloud Machine Learning Artificial Inteligence Azure 97