Xebia

DECEMBER 23, 2024

Modern Pay-As-You-Go Data Platforms: Easy to Start, Challenging to Control It’s Easier Than Ever to Start Getting Insights into Your Data The rapid evolution of data platforms has revolutionized the way businesses interact with their data.

Data 130

Data Storage Culture Resources 130

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

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. Each unlocking value in the data engineering workflows enterprises can start taking advantage of. Usage Patterns.

Data Engineering 113

Data Engineering Engineering Data Storage 113

Xebia

NOVEMBER 21, 2024

dbt (data build tool) has seen increasing use in recent years as a tool to transform data in data warehouses. of the repository, while other times this is in an external tool like Confluence or Notion. As with any new tool, one question that is commonly asked is about its speed. But what about dbt?

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

Cloudera

MAY 3, 2021

Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability. Streaming data systems are a relatively new addition to enterprise data systems and have evolved to providing business-critical roles. Benefits of Streaming Data for Business Owners.

Scalability 103

Scalability Agile Data Systems Review 103

CIO

FEBRUARY 25, 2025

Their success was a proof point for us: If you hire the right people and give them the tools and support they need, they can achieve remarkable things even without years of experience. This experience reinforced our belief that technology is a tool, not a replacement for people.

Data 136

Data Innovation Insurance Culture 136

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

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

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

Altexsoft

AUGUST 25, 2020

Big data is tons of mixed, unstructured information that keeps piling up at high speed. That’s why traditional data transportation methods can’t efficiently manage the big data flow. Big data fosters the development of new tools for transporting, storing, and analyzing vast amounts of unstructured data.

Big Data 75

Big Data Data Engineering Engineering Data 75

TechCrunch

NOVEMBER 2, 2022

.” Built on top of data warehousing service Snowflake and Google’s BigQuery engine, Y42 ‘s new fully managed service aims to provide businesses with more of the tools to make their data stack easily accessible for more users while also providing additional collaboration tools and improved data governance services.

Data 203

Data Business Intelligence Open Source Government 203

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

CTOvision

MAY 1, 2014

The senior engineer will also take a lead role in interfacing with customer groups to understand their needs and tailor reports to enable data-driven decisions across key business areas. The senior engineer will have a great deal of freedom in choosing the right tools for the job, and will have strong support in getting it right.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

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. Traditional scheduling solutions used in big data tools come with several drawbacks. fixed sized clusters).

Data Engineering 85

Data Engineering Performance Engineering Data 85

TechCrunch

MARCH 4, 2021

Today, a company that is somewhat doing the opposite — building tools to help Amazon sellers work better on their own — is announcing significant funding to keep growing its business. It says that its tools impact some $8 billion in Amazon revenue with around 500,000 brands and entrepreneurs already using it.

Advertising 253

Advertising eCommerce Retail Tools 253

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

TechCrunch

FEBRUARY 23, 2022

Portland, Oregon-based startup thatDot , which focuses on streaming event processing, today announced the launch of Quine , a new MIT-licensed open source project for data engineers that combines event streaming with graph data to create what the company calls a “streaming graph.”

Engineering 190

Engineering Open Source Big Data Fintech 190

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 78

AWS Software Review Technical Review Generative AI 78

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 Artificial Inteligence 52

TechCrunch

OCTOBER 7, 2021

If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. EveryDeveloper focuses on content, which I believe is the most scalable way to reach developers. Outside content, there’s events (in-person and virtual), advertising, sponsorships, open source and tools.

Weak Development Team 231

Weak Development Team Software Development Marketing Technical Advisors 231

Apiumhub

DECEMBER 9, 2024

Spark Pools for Big Data Processing Synapse integrates with Apache Spark, enabling distributed processing for large datasets and allowing machine learning and data transformation tasks within the same platform. This resembles Azure Data Factory and allows for orchestration across multiple data sources and services.

Azure 91

Azure Analytics Storage Artificial Inteligence 91

TechCrunch

JULY 25, 2022

The company was founded in 2021 by Brian Ip, a former Goldman Sachs executive, and data engineer YC Chan. From a strategic point of view, what we think makes this startup opportunity even more interesting is that, we do not see HR software as a silo-ed tool used only by the HR department,” Chan said.

Recruiting 224

Recruiting Technical Review Software Review Systems Review 224

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. If we have a particular type of outage, our observability tool can also restart the application.” Don’t skimp on automation and tooling.

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

TechCrunch

JANUARY 26, 2022

Big data is at the heart of how a lot of applications, and a lot of business overall, works these days. And when it comes to big data troves, the priority for organizations is to have tools to manage them efficiently, and parse and analyse them effectively.

Analytics 218

Analytics Data Big Data Business Intelligence 218

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

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

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. Kubernetes is a key tool to help do away with the siloed mindset.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

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

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. Who is Big Data Engineer? Big Data requires a unique engineering approach.

Big Data 52

Big Data Data Engineering 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

CIO

SEPTEMBER 18, 2023

Network Alpha Factory’s job is to facilitate the seamless movement of all kinds of traffic from older, slower networks to newer, high-efficiency networks, he says, adding that the tool is compatible with all legacy Verizon networks and can be used to migrate to edge networks as well.

Telecommunications 167

Telecommunications Network Systems Review Software Review 167

Altexsoft

JUNE 7, 2021

scalability. Following this approach, the tool focuses on fast retrieval of the whole data set rather than on the speed of the storing process or fetching a single record. A powerful Big Data tool, Apache Hadoop alone is far from being almighty. No real-time data processing. Data storage options.

Big Data 98

Big Data Tools Data Storage 98

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. What do you mean by democratizing?

Data 112

Data Weak Development Team Data Engineering Enterprise 112

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. It requires a strong ability for complex project management and to juggle design requirements while ensuring the final product is scalable, maintainable, and efficient.

LAN 215

LAN How To Systems Administration Software Engineering 215

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

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148