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

DECEMBER 20, 2024

Shared data assets, such as product catalogs, fiscal calendar dimensions, and KPI definitions, require a common vocabulary to help avoid disputes during analysis. Curate the data. Invest in core functions that perform data curation such as modeling important relationships, cleansing raw data, and curating key dimensions and measures.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

CIO

NOVEMBER 19, 2024

The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows. The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both.

Artificial Inteligence 174

Artificial Inteligence Engineering Data Storage 174

CIO

MARCH 20, 2025

In just two weeks since the launch of Business Data Cloud, a pipeline of $650 million has been formed, Klein said. We decided to collaborate after seeing that over 1,000 customers have already contacted us about utilizing the two companies data platforms together. This is an unprecedented level of customer interest.

Data 162

Data Artificial Inteligence Data Center Cloud 162

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. Performance boost with Spark 3.1. With the release of Spark 3.1

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

CIO

DECEMBER 12, 2024

Confidence from business leaders is often focused on the AI models or algorithms, Erolin adds, not the messy groundwork like data quality, integration, or even legacy systems. Successful pilot projects or well-performing algorithms may give business leaders false hope, he says. The bigger picture can tell a different story, he adds.

Data 201

Data Survey Artificial Inteligence Education 201

Xebia

OCTOBER 18, 2024

It’s gaining popularity due to its simplicity and performance – currently getting over 1.5 However, DuckDB doesn’t provide data governance support yet. Unity Catalog gives you centralized governance, meaning you get great features like access controls and data lineage to keep your tables secure, findable and traceable.

Open Source 162

Open Source AWS Government Technical Review 162

CIO

JANUARY 3, 2025

These changes can cause many more unexpected performance and availability issues. At the same time, the scale of observability data generated from multiple tools exceeds human capacity to manage. These challenges drive the need for observability and AIOps.

Organization 158

Organization Artificial Intelligence Artificial Inteligence DevOps 158

CIO

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211

Data Enterprise Weak Development Team Software Review 211

Cloudera

DECEMBER 2, 2024

Cloudera is committed to providing the most optimal architecture for data processing, advanced analytics, and AI while advancing our customers’ cloud journeys. Together, Cloudera and AWS empower businesses to optimize performance for data processing, analytics, and AI while minimizing their resource consumption and carbon footprint.

Sustainability 89

Sustainability AWS Analytics Infrastructure 89

Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 104

Data Engineering Engineering Data Tools 104

Xebia

DECEMBER 23, 2024

To prevent financial surprises and maximize the return on investment, organizations should treat cost management as a foundational principle when designing, implementing, and scaling their data platforms. This approach ensures that decisions are made with both performance and budget in mind.

Data 130

Data Storage Culture Resources 130

CIO

DECEMBER 4, 2024

And to ensure a strong bench of leaders, Neudesic makes a conscious effort to identify high performers and give them hands-on leadership training through coaching and by exposing them to cross-functional teams and projects. The new team needs data engineers and scientists, and will look outside the company to hire them.

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

Xebia

DECEMBER 23, 2024

To prevent financial surprises and maximize the return on investment, organizations should treat cost management as a foundational principle when designing, implementing, and scaling their data platforms. This approach ensures that decisions are made with both performance and budget in mind.

Data 130

Data Storage Culture Resources 130

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

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Artificial Inteligence 98

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. It also becomes inefficient as the data scale increases.

Data Engineering 108

Data Engineering Engineering Data Systems Review 108

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 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

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Engineering 95

Data Engineering Engineering Data Cloud 95

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

CIO

MARCH 18, 2025

Data insights agent analyzes signals across an organization to help visualize, forecast, and remediate customer experiences. Data engineering agent performs high-volume data management tasks, including data integration, cleansing, and security.

B2B 97

B2B B2C Guidelines Analysis 97

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 Software Review Artificial Intelligence 290

Perficient

MARCH 13, 2025

In this case, Liquid Clustering addresses the data management and query optimization aspects of cost control soi simply and elegantly that I’m happy to take my hands off the controls. In other words, CLUSTER BY AUTO Final Thoughts: Keep Calm and Cluster by Auto Data is in a very exciting, but very tough, place right now.

Data Engineering 64

Data Engineering Government Engineering Data 64

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

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

APRIL 2, 2025

The spectrum is broad, ranging from process automation using machine learning models to setting up chatbots and performing complex analyses using deep learning methods. In this context, collaboration between data engineers, software developers and technical experts is particularly important. Implementation and integration.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

TechCrunch

OCTOBER 14, 2020

To better dig into the company’s performance, I got on the phone with its CEO, Ali Ghodsi , hoping to better understand how Databricks has managed to grow as much as it has in recent years. Ghodsi took over as CEO in 2016 after serving as the company’s VP of engineering. How do they find that information?

Part-Time VPE 250

Part-Time VPE Analytics Artificial Inteligence Machine Learning 250

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 110

Performance Data Comparison Virtualization 110

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

DECEMBER 4, 2024

empowers data engineers to build and deploy data pipelines faster, accelerating time-to-value for the business. Enhanced NiFi Metrics: Gain deeper insights into your data pipelines with improved monitoring capabilities that provide detailed metrics on flow performance and can be integrated into your preferred observability tool.

Metrics 93

Metrics Generative AI Open Source Data Engineering 93

CIO

JUNE 7, 2022

“An ML engineer is also involved with validation of models, A/B testing, and monitoring in production.”. And in a mature ML environment, ML engineers also need to experiment with serving tools that can help find the best performing model in production with minimal trials, he says. Data engineer.

Artificial Inteligence 218

Artificial Inteligence Technical Review Fractional CTO Data Engineering 218

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 109

Generative AI CTO Coach AWS Artificial Inteligence 109

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

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. Our analytics engineer consultants are here to help – just contact us and we’ll get back to you soon.

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

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 Enterprise Business Intelligence 246

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