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

AWS Machine Learning - AI

NOVEMBER 15, 2024

The solution had to adhere to compliance, privacy, and ethics regulations and brand standards and use existing compliance-approved responses without additional summarization. It was important for Principal to maintain fine-grained access controls and make sure all data and sources remained secure within its environment.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

Generative AI 214

Generative AI Machine Learning Artificial Inteligence ChatGPT 214

CIO

JULY 14, 2023

A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data. Fine-tuning applies to both hosted cloud LLMs and open source LLM models you run yourself, so this level of ‘shaping’ doesn’t commit you to one approach.

Generative AI 148

Generative AI Artificial Inteligence Open Source ChatGPT 148

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Architecture 102

Architecture Innovation Data Open Source 102

CIO

AUGUST 18, 2022

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. Rather than moving data into a central warehouse, the mesh enables access while allowing data to stay where it is.

Data 210

Data Technical Review Technical Advisors Artificial Inteligence 210

Xebia

JUNE 18, 2024

Introducing Astronomer Cosmos Astronomer Cosmos is an open-source project created and maintained by Astronomer. – For compliance reasons, you may not be allowed to run dbt itself within a managed Airflow environment outside the control of your company.

Azure 147

Azure Open Source Resources Groups 147

Cloudera

OCTOBER 19, 2023

Add to this, too, the difficulty of integrating potentially dissimilar compliance frameworks: for example, separate telcos might be operating under different regulatory guidelines, appropriate to specific jurisdictions or business practices, requiring the merged entity to formalize a single, unified framework for compliance.

Data 76

Data Compliance Architecture Data Engineering 76

John Snow Labs

NOVEMBER 4, 2024

It includes over 2,400 pre-trained models and pipelines for tasks like clinical information extraction, named entity recognition (NER), and text analysis from unstructured sources such as electronic health records and clinical notes. These models ensure robust PHI extraction for compliance and privacy purposes.

Healthcare 40

Healthcare Artificial Inteligence Software Review Generative AI 40

O'Reilly Media - Ideas

NOVEMBER 13, 2018

Given the growing interest in data privacy among users and regulators, there is a lot of interest in tools that will enable you to build ML models while protecting data privacy. One important change outlined in the report is the need for a set of data scientists who are independent from this model-building team.

Machine Learning 111

Machine Learning Artificial Inteligence Software Review Conference 111

AWS Machine Learning - AI

JUNE 21, 2024

To accomplish this, the application integrates with an open sourced eSentire LLM Gateway project to monitor the interactions with customer queries, backend agent actions, and application responses. He focuses on advancing cybersecurity with expertise in machine learning and data engineering.

Artificial Inteligence 126

Artificial Inteligence Generative AI AWS Serverless 126

Altexsoft

MARCH 18, 2021

The approach is possible thanks to the modern technologies that allow for storing and processing huge volumes of data in any format. This includes Apache Hadoop , an open-source software that was initially created to continuously ingest data from different sources, no matter its type. Compliance.

Systems Review 109

Systems Review Technical Review Software Review Big Data 109

John Snow Labs

SEPTEMBER 26, 2024

This makes it hard to combine them together, especially with growing data volumes. Unfortunately, unharmonized data is not fit for use in customer analytics, risk and compliance and data engineers and scientists end up building some sort of rule or heuristic based system to manage it.

Scalability 52

Scalability Open Source Data Engineering Compliance 52

Datavail

JUNE 20, 2023

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. Percona Live 2023 Session Highlights The three days of the event were packed with interesting open-source database sessions!

Open Source 52

Open Source Database Administration Survey AWS 52

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Read why the future of data lakehouses is open.

Data 88

Data Analytics Machine Learning Artificial Inteligence 88

Erik Bernhardsson

OCTOBER 27, 2015

Anyway, reposting the full interview: As part of my interviews with Data Scientists I recently caught up with Erik Bernhardsson who is famous in the world of ‘Big Data’ for his open source contributions, his leading of teams at Spotify, and his various talks at various conferences. Have you been to a Hadoop conference?

Data 101

Data Big Data Machine Learning Artificial Inteligence 101

Erik Bernhardsson

OCTOBER 27, 2015

Anyway, reposting the full interview: As part of my interviews with Data Scientists I recently caught up with Erik Bernhardsson who is famous in the world of ‘Big Data’ for his open source contributions, his leading of teams at Spotify, and his various talks at various conferences. Have you been to a Hadoop conference?

Data 100

Data Big Data Machine Learning Artificial Inteligence 100

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Data lineage, data catalog, and data governance solutions can increase usage of data systems by enhancing trustworthiness of data. Moving forward, tracking data provenance is going to be important for security, compliance, and for auditing and debugging ML systems. Data Platforms.

Big Data 108

Big Data Technology Tools Cloud 108

Cloudera

JUNE 14, 2021

Cloudera recognises that data engineers and analysts need to continuously identify relevant data sources and assess their value; SDX’s data catalog delivers just that capability. Cloudera: The Telco Data Cloud. Already, 80% of the world’s top 100 service providers run on Cloudera.

Telecommunications 97

Telecommunications Cloud Data Virtualization 97

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Use cases: small projects, specific source and target locations not supported by other solutions. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

O'Reilly Media - Data

MARCH 22, 2018

In fact, the ability to account for the fairness and transparency of these predictive models has been mandated for legal compliance. At DataScience.com , where I’m a lead data scientist, we feel passionately about the ability of practitioners to use models to ensure safety, non-discrimination, and transparency.

Off-The-Shelf 177

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 177

O'Reilly Media - Ideas

MARCH 18, 2020

One-sixth of respondents identify as data scientists, but executives—i.e., The survey does have a data-laden tilt, however: almost 30% of respondents identify as data scientists, data engineers, AIOps engineers, or as people who manage them. With an abundance of open source tools, libraries, tutorials, etc.,

Enterprise 140

Enterprise Survey Technical Review Weak Development Team 140

O'Reilly Media - Ideas

MARCH 1, 2022

It is not open source, and is now entering private beta. The Information Battery : Pre-computing and caching data when energy costs are low to minimize energy use when power costs are high is a good way to save money and take advantage of renewable energy sources. No blockchain required.

Trends 117

Trends Blockchain Serverless Malware 117

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Cloudera

OCTOBER 7, 2021

Data Lineage : Data constituents (including Data Consumers, Producers and Data Stewards) should be able to track lineage of data as it flows from data producers to data consumers but also, when applicable, as data flows between different data processing stages within the boundaries of a given data product.

Architecture 124

Architecture Data Security Technical Review 124

Invid Group

AUGUST 28, 2024

They can be proprietary, third-party, open-source, and run either on-premises or in the cloud. Governance, Security, and Compliance Organizations need to ensure that the implementation of data-driven insights aligns with legal and ethical standards, safeguards sensitive data, and maintains compliance with applicable regulations.

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

Cloudera

AUGUST 24, 2020

Next you need to understand your data , cataloging enterprise data into business and compliance terms. The most relevant use cases are those that use or integrate data, including publicly available data, and you combine that with your internal data.

Cloud 81

Cloud Data Government Innovation 81

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 10

AWS DevOps Disaster Recovery Serverless 10

Altexsoft

MARCH 14, 2023

Additionally, this modularity can help prevent vendor lock-in, giving organizations more flexibility and control over their data stack. Offered as open-source with active support by communities. Many components of a modern data stack (such as Apache Airflow, Kafka, Spark, and others) are open-source and free.

Data 59

Data Technical Review Software Review Open Source 59

Cloudera

OCTOBER 25, 2022

“They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. It allows users to rapidly ingest data and run self-service analytics and machine learning. Encryption is fundamental to cluster and data security. Encryption.

Cloud 52

Cloud Data Firewall AWS 52

Cloudera

JANUARY 11, 2021

Cloudera Data Warehouse (CDW) is a cloud service and an integral part of the newly released Cloudera Data Platform (CDP). Key features are: Highly scalable and performant open-source engines for BI and data warehousing workloads. Modern architecture. Separate compute from storage. Containerization.

Data 63

Data Pharmaceuticals Open Source Artificial Inteligence 63

OpenCredo

MARCH 20, 2020

Security, because we work with sensitive data, client information and intellectual property. We cannot afford for this data to make its way into the wrong hands and must comply with compliance mandates. By making data security usable we also expect to make systems easier to manage, operate and understand. Challenges.

Cloud 40

Cloud Data Weak Development Team Compliance 40

Cloudera

MAY 22, 2018

This leads to wasted time and effort during research and collaboration or, worse, compliance risk. With Experiments, data scientists can run a batch job that will: create a snapshot of model code, dependencies, and configuration parameters necessary to train the model. build and execute the training run in an isolated container.

Data 41

Data Load Balancer Artificial Inteligence Machine Learning 41

Altexsoft

OCTOBER 29, 2020

But before you dive in, we recommend you reviewing our more beginner-friendly articles on data transformation: Complete Guide to Business Intelligence and Analytics: Strategy, Steps, Processes, and Tools. What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

Testing 63

Testing Tools Software Review Technical Review 63