Perficient

FEBRUARY 13, 2023

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform Especially important is the ability to reload and reprocess the data in the event of an error. Use it, but don’t use it for normal large data loads.

Data Engineering 69

Data Engineering Engineering Data Storage 69

Gorilla Logic

APRIL 27, 2022

Are you a data engineer or seeking to become one? This is the first entry of a series of articles about skills you’ll need in your everyday life as a data engineer. Data cleansing and enrichment processes need to combine, filter, aggregate, and select different sets to answer questions we have. CROSS JOIN.

Data Engineering 59

Data Engineering Engineering Data Windows 59

Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 69

Data Engineering Engineering Data Software Engineering 69

The Programmer's Paradox

OCTOBER 14, 2022

You get out of data, the effort you put into making sure it is right. Sometimes for performance, more often because of politics. You have to capture the data as it exists. Often beside the primary copy of the record, there can be a lot of secondary copies getting created as well. All of them.

Data Engineering 40

Data Engineering Engineering Data Software Review 40

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

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

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 114

Data Engineering Engineering Data Virtualization 114

TechCrunch

NOVEMBER 18, 2021

In addition to requiring a large amount of labeled historic data to train these models, multiple teams need to coordinate to continuously monitor the models for performance degradation. 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

CIO

JANUARY 12, 2024

According to BCG’s report, comparatively few, just 19%, of executives are focusing on costs of use, which the researchers said “has serious long-term implications,” while most respondents said they were more focused on performance, quality, and data protection issues.

Generative AI 331

Generative AI Survey Data Engineering Report 331

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

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 61

Data Engineering Engineering Programming Data 61

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

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. Try out Cloudera Data Engineering today!

Data Engineering 61

Data Engineering Engineering Data Software Review 61

TechCrunch

OCTOBER 13, 2022

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. The New York-based startup announced today that it has raised $7.6

Operating System 233

Operating System Technical Review Analytics Systems Review 233

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 Cloudera Data Warehouse vs EMR. Conclusion.

Performance 106

Performance Data Comparison Virtualization 106

TechCrunch

OCTOBER 11, 2022

It certainly makes some bold claims, saying, “Quantori’s data engineering and data science platform for drug discovery and development aims to build a new data integration and high-performance computational environment for global and early-stage biopharma companies.

Development 248

Development Pharmaceuticals Data Engineering Engineering 248

Cloudera

JANUARY 15, 2021

With the ability to quickly provision on-demand and the lower fixed and administrative costs, the costs of operating a cloud data warehouse are driven mostly by the price-performance of the specific data warehouse platform. CDW is one of several managed services that comprise the broader Cloudera Data Platform (CDP).

Performance 90

Performance Cloud Data Storage 90

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 315

Data Engineering Engineering Data CTO Coach 315

CIO

JULY 28, 2022

“We try to be data-driven in our decisions so we have a great need for analytics skill sets. … Synchrony isn’t the only company dealing with a dearth of data scientists to perform increasingly critical work in the enterprise. And machine learning engineers are being hired to design and build automated predictive models.

Data 359

Data Machine Learning Artificial Inteligence Fractional CTO 359

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

TechCrunch

MARCH 21, 2023

According to a survey from Great Expectations, which creates open source tools for data testing, 77% of companies have data quality issues and 91% believe that it’s impacting their performance. Sifflet maintains a lineage to make it easier for data engineers to conduct root cause analyses. million every year.

Data 202

Data Data Engineering Training Engineering 202

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 Artificial Intelligence Blockchain Software Review 290

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

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

CIO

FEBRUARY 15, 2024

But to achieve Henkel’s digital vision, Nilles would need to attract data scientists, data engineers, and AI experts to an industry they might not otherwise have their eye on. Its industrial B2B arm focuses on adhesives technologies, like Loctite, while its B2C consumer goods arm owns brands such as Dial and Purex.

Artificial Inteligence 347

Artificial Inteligence B2C Machine Learning Artificial Intelligence 347

CIO

SEPTEMBER 18, 2023

The complex tool comprises a workflow engine, robotic process automation, and a data engineering framework that supports more than nine of Verizon’s legacy network systems. Network Alpha Factory also provides data intelligence and the ability to decommission legacy devices.

Telecommunications 278

Telecommunications Network Systems Review Software Review 278

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 75

Tools Data Engineering Analytics Testing 75

CIO

SEPTEMBER 29, 2022

Collectively, the scope spans about 1,600 data analytics professionals in the company and we work closely with our technology partnersâ??more that cover areas of software engineering, infrastructure, cybersecurity, and architecture, for instance. But we have to bring in the right talent. This is kind of a team sport for us, so itâ??s

Machine Learning 336

Machine Learning Artificial Inteligence Travel Technical Review 336

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Relevant skills for a systems architect include risk management, performance optimization, security, leadership, and a strong knowledge of complex computer systems. increase from 2021.

Technical Review 290

Technical Review Software Review Systems Review Software Engineering 290

Kentik

MAY 2, 2016

In part 1 of this series we introduced Kentik Data Engine™, the backend to Kentik Detect™, which is a large-scale distributed datastore that is optimized for querying IP flow records (NetFlow v5/9, sFlow, IPFIX) and related network data (GeoIP, BGP, SNMP). Want to try KDE with your own network data? Time: 1.293s.

Data Engineering 40

Data Engineering Engineering .Net Data 40

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

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 283

Generative AI Artificial Inteligence Strategy Google Cloud 283

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

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 317

Big Data Analytics Data eLearning 317

TechCrunch

JULY 25, 2022

The funding will be used to add more features to Omni, including a recruitment module by the third quarter and a performance enhancement module by the end of the year. The company was founded in 2021 by Brian Ip, a former Goldman Sachs executive, and data engineer YC Chan.

Recruiting 224

Recruiting Technical Review Software Review Systems Review 224

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 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 338

Analytics Data Analysis Business Analytics 338