Cloudera

MAY 3, 2021

Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability. Contrast this with the skills honed over decades for gaining access, building data warehouses, performing ETL, creating reports and/or applications using structured query language (SQL).

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

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. CRM platforms).

Scalability 94

Scalability Data Technical Review Analytics 94

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

OCTOBER 9, 2024

The data preparation process should take place alongside a long-term strategy built around GenAI use cases, such as content creation, digital assistants, and code generation. Known as data engineering, this involves setting up a data lake or lakehouse, with their data integrated with GenAI models.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

Xebia

NOVEMBER 21, 2024

But when the size of a dbt project grows, and the number of developers increases, then an automated approach is often the only scalable way forward. What other checks can dbt-bouncer perform? check_exposure_based_on_view ensures exposures are not based on views as this may result in poor performance for data consumers.

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

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

AWS Machine Learning - AI

MARCH 13, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, such as AI21 Labs, Anthropic, Cohere, Meta, Mistral, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Generative AI 97

Generative AI CTO Coach AWS Artificial Inteligence 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 Artificial Inteligence Machine Learning 195

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

Apiumhub

DECEMBER 9, 2024

Integrated Data Lake Synapse Analytics is closely integrated with Azure Data Lake Storage (ADLS), which provides a scalable storage layer for raw and structured data, enabling both batch and interactive analytics. When Should You Use Azure Synapse Analytics?

Azure 91

Azure Analytics Storage Artificial Inteligence 91

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 111

Generative AI AWS Groups Artificial Inteligence 111

Perficient

MARCH 27, 2025

This could provide both cost savings and performance improvements. With a soft delete, deletion vectors are marked rather than physically removed, which is a performance boost. There is a catch once we consider data deletion within the context of regulatory compliance. What Are Deletion Vectors?

Compliance 64

Compliance Systems Review Policies Storage 64

TechCrunch

JANUARY 26, 2022

Firebolt’s pitch is that it has built a SQL-based architecture that handles this challenge better than anything that has come before it, using new techniques in compression that can connect data lakes and result in smaller cloud capacity requirements, resulting in lower costs and better performance, up to 182 times faster than that of other data (..)

Analytics 218

Analytics Data Big Data Business Intelligence 218

CIO

JUNE 19, 2024

Platform engineering: purpose and popularity Platform engineering teams are responsible for creating and running self-service platforms for internal software developers to use. Staff up for the future Simms also looks for skill sets that will prepare the organization for the future, including AI, ML, and chaos engineering.

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

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

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

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 96

Performance Cloud Data Storage 96

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 79

AWS Software Review Technical Review Generative AI 79

CIO

JANUARY 22, 2024

That amount of data is more than twice the data currently housed in the U.S. Nearly 80% of hospital data is unstructured and most of it has been underutilized until now. To build effective and scalable generative AI solutions, healthcare organizations will have to think beyond the models that are visible at the surface.

Generative AI 147

Generative AI Healthcare Fractional CTO Artificial Inteligence 147

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. It’s a role that not only requires technical skills, but also leadership and communication skills as well to work across departments and to manage teams of engineers. increase from 2021.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

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

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.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

Cloudera

OCTOBER 13, 2020

Data Warehouse – in addition to a number of performance optimizations, DW has added a number of new features for better scalability, monitoring and reliability to enable self-service access with security and performance . Enrich – Data Engineering (Apache Spark and Apache Hive). New Services.

Cloud 97

Cloud Artificial Inteligence Machine Learning Data Engineering 97

Capgemini

NOVEMBER 21, 2024

This will empower businesses and accelerate the time to market by creating: A data asset which supports business self-service, data science, and shadow IT Technology enabled scalability, cross self-service, shadow IT, data science, and IT industrialized solutions. To read the full whitepaper, click here.

Data 52

Data Government Innovation Architecture 52

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. In the Performance space, our data teams currently focus on the quality of experience on Netflix-enabled devices.

Infrastructure 74

Infrastructure Scalability Cloud Data 74

CIO

FEBRUARY 14, 2023

It’s also used to deploy machine learning models, data streaming platforms, and databases. A cloud-native approach with Kubernetes and containers brings scalability and speed with increased reliability to data and AI the same way it does for microservices. Every machine learning model is underpinned by data.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

CIO

OCTOBER 18, 2023

To do so, the team had to overcome three major challenges: scalability, quality and proactive monitoring, and accuracy. The opportunity to predict IDH during a dialysis treatment is one of several building blocks to transform our company into the world of the Internet of Things, big data, and artificial intelligence,” he says.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

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 103

Data AWS Groups Knowledge Base 103

CIO

JULY 15, 2022

“When you think about what skill sets do you need, it’s a broad spectrum: data engineering, data storage, scientific experience, data science, front-end web development, devops, operational experience, and cloud experience.”.

Systems Review 167

Systems Review Fractional CTO System Development Team Review 167

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. This is a task best left to expert Java programming minds.

Data 112

Data Weak Development Team Data Engineering Enterprise 112

Perficient

AUGUST 31, 2024

I have discussed the seven pillars of the well-archotected lakehouse framework in general and now I want to focus on performance efficiency. Performance Efficiency I previously wrote about cost optimization and performance efficiency is a key lever to pull in the drive to manage cost. Technically, this is what Spark does.

Performance 52

Performance Serverless Scalability Metrics 52

CIO

SEPTEMBER 18, 2023

Inside the ‘factory’ Aside from its core role as a migration platform, Network Alpha Factory also delivers network scalability and a bird’s-eye view of an enterprise’s entire network landscape, including where upgrades may be needed. Network Alpha Factory also provides data intelligence and the ability to decommission legacy devices.

Telecommunications 167

Telecommunications Network Systems Review Software Review 167

Xebia

JULY 29, 2024

Data Modelers: They design and create conceptual, logical, and physical data models that organize and structure data for best performance, scalability, and ease of access. In the 1990s, data modeling was a specialized role.

Technical Review 130

Technical Review Data Systems Review Meeting 130

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. Different data is processed in parallel on different nodes.

Backup 115

Backup Azure Software Review Architecture 115

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. The post Immuta raises $1.5M

Big Data 114

Big Data System Data Software Engineering 114

John Snow Labs

FEBRUARY 12, 2025

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks. See here for benchmarks and responsibly developed AI practices.

Artificial Inteligence 52

Artificial Inteligence Azure Healthcare Software Review 52