CIO

JULY 15, 2022

Over the years, DTN has bought up several niche data service providers, each with its own IT systems — an environment that challenged DTN IT’s ability to innovate. “We Very little innovation was happening because most of the energy was going towards having those five systems run in parallel.”. The merger playbook.

Systems Review 167

Systems Review Fractional CTO System Development Team Review 167

Cloudera

MAY 3, 2021

Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability. Real-time and time series data is growing 50% faster than static data forms and streaming analytics is projected to grow at a 34% CAGR. Benefits of Streaming Data for Business Owners.

Scalability 103

Scalability Agile Data Systems Review 103

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 82

Data Engineering Engineering Data Generative AI 82

TechCrunch

APRIL 26, 2021

-based VCs Local Globe, GMG Ventures , and Jaan Tallinn, one of Skype’s founding engineers, giving it a valuation of around $100 million. Faculty will work with NHS England and NHS Improvement to build upon the Early Warning System (EWS) it developed for the service during the pandemic. but we’re working in the U.S.

Artificial Inteligence 231

Artificial Inteligence Machine Learning Artificial Intelligence Scalability 231

CIO

FEBRUARY 25, 2025

We brought together representatives from across the organization to agree on a common taxonomy for our data and capabilities. People asked, Do we need to go back and update all our systems to reflect this new language? It wasnt easy. The answer was no, but we did have to be consistent going forward.

Data 136

Data Innovation Insurance Culture 136

Confluent

JUNE 18, 2019

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. For this reason and others as well, many projects start using their database for everything, and over time they might move to a search engine like Elasticsearch or Solr. You might be wondering, is this a good solution?

Scalability 97

Scalability Architecture Artificial Inteligence Machine Learning 97

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 195

Analytics Data Engineering Machine Learning Artificial Inteligence 195

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. CRM platforms).

Scalability 94

Scalability Data Technical Review Analytics 94

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

CTOvision

MAY 1, 2014

We are looking for a talented person who shares our passion for elegant and scalable solutions to challenging, large-scale problems; and developing systems to create significant value for customers and our company. Work collaboratively to deliver data in visually impactful ways. Backend system automation. Qualifications.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

CTOvision

AUGUST 1, 2015

“Organizations are spending billions of dollars to consolidate its data into massive data lakes for analytics and business intelligence without any true confidence applications will achieve a high degree of performance, availability and scalability. to manage the chaos of big data systems appeared first on CTOvision.com.

Big Data 114

Big Data System Data Software Engineering 114

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 system is slow to respond to the increased load as well as to the potential opportunities to scale down the cluster when jobs are finished.

Data Engineering 85

Data Engineering Performance Engineering Data 85

AWS Machine Learning - AI

NOVEMBER 15, 2024

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

AWS Machine Learning - AI

APRIL 1, 2025

With App Studio, technical professionals such as IT project managers, data engineers, enterprise architects, and solution architects can quickly develop applications tailored to their organizations needswithout requiring deep software development skills. Outside of work, Samit enjoys playing cricket, traveling, and biking.

AWS 93

AWS Software Review Technical Review Generative AI 93

CIO

APRIL 10, 2024

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Inferencing funneled through RAG must be efficient, scalable, and optimized to make GenAI applications useful. Inferencing and… Sherlock Holmes???

Artificial Inteligence 203

Artificial Inteligence Generative AI Storage Artificial Intelligence 203

Apiumhub

DECEMBER 9, 2024

Azure Synapse Analytics is Microsofts end-to-give-up information analytics platform that combines massive statistics and facts warehousing abilities, permitting advanced records processing, visualization, and system mastering. Data Lake Storage (Gen2): Select or create a Data Lake Storage Gen2 account.

Azure 91

Azure Analytics Storage Machine Learning 91

AWS Machine Learning - AI

APRIL 23, 2025

By using Mixtral-8x7B for abstractive summarization and title generation, alongside a BERT-based NER model for structured metadata extraction, the system significantly improves the organization and retrieval of scanned documents. Multiple specialized Amazon Simple Storage Service Buckets (Amazon S3 Bucket) store different types of outputs.

Artificial Inteligence 66

Artificial Inteligence Open Source AWS Serverless 66

Perficient

APRIL 22, 2025

.” What topics do you think will be top-of-mind for attendees this year? “Im especially interested in the intersection of data engineering and AI. Ive been lucky to work on modern data teams where weve adopted CI/CD pipelines and scalable architectures. Dont miss Perficient at Data Summit 2025.

Meeting 52

Meeting Data Serverless Data Engineering 52

TechCrunch

JULY 25, 2022

The software enables HR teams to digitize employee records, automate administrative tasks like employee onboarding and time-off management, and integrate employee data from different systems. 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

CIO

JANUARY 6, 2023

Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems. Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop.

LAN 215

LAN How To Systems Administration Software Engineering 215

Netflix Tech

MARCH 7, 2024

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

System 94

System Artificial Inteligence Machine Learning Open Source 94

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Solutions architect Solutions architects are responsible for building, developing, and implementing systems architecture within an organization, ensuring that they meet business or customer needs.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

Data Engineering 52

Data Engineering Engineering Data Machine Learning 52

Perficient

MARCH 27, 2025

Ensuring compliant data deletion is a critical challenge for data engineering teams, especially in industries like healthcare, finance, and government. Deletion Vectors in Delta Live Tables offer an efficient and scalable way to handle record deletion without requiring expensive file rewrites. What Are Deletion Vectors?

Compliance 64

Compliance Systems Review Policies Storage 64

CIO

SEPTEMBER 2, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

FEBRUARY 14, 2023

Finally, machine learning is essentially the use and development of computer systems that learn and adapt without following explicit instructions; it uses models (algorithms) to identify patterns, learn from the data, and then make data-based decisions.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

John Snow Labs

SEPTEMBER 26, 2024

These records can come from multiple systems and have variations across different attributes. This makes it hard to combine them together, especially with growing data volumes. The post Scalable Entity Resolution With Python and ML appeared first on John Snow Labs. We will discuss Zingg algorithms and Python API usage.

Scalability 52

Scalability Open Source Data Engineering Compliance 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Dzone - DevOps

SEPTEMBER 6, 2024

Considering data engineering and data science, Astro and Apache Airflow rise to the top as important tools used in the management of these data workflows. This article compares Astro and Apache Airflow, explaining their architecture, features, scalability, usability, community support, and integration capabilities.

Comparison 91

Comparison Microservices Data Engineering Software Development 91

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.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Perficient

FEBRUARY 13, 2025

Breaking down silos has been a drumbeat of data professionals since Hadoop, but this SAP <-> Databricks initiative may help to solve one of the more intractable data engineering problems out there. SAP has a large, critical data footprint in many large enterprises. However, SAP has an opaque data model.

Government 64

Government Open Source Artificial Inteligence Machine Learning 64

Mobilunity

AUGUST 3, 2021

Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. 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 52

Big Data Data Engineering Engineering Data 52

Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. A rare breed. The difficulty with querying streams.

Data 112

Data Weak Development Team Data Engineering Enterprise 112

Netflix Tech

MARCH 5, 2019

As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. How can we develop templated detection modules (rules- and ML-based) and data streams to increases speed of development?

Infrastructure 74

Infrastructure Scalability Cloud Data 74

AWS Machine Learning - AI

NOVEMBER 20, 2024

Aurora MySQL-Compatible is a fully managed, MySQL-compatible, relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. She has experience across analytics, big data, ETL, cloud operations, and cloud infrastructure management.

Data 110

Data AWS Groups Knowledge Base 110

CIO

SEPTEMBER 18, 2023

“Telcos are typically very good at building new networks but where we have fallen short is replacing and migrating customers from the old network to the new networks and infrastructure,” says Sumit Singh, vice president of network systems, planning, and engineering at Verizon.

Telecommunications 167

Telecommunications Network Systems Review Software Review 167