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. Platform engineering teams work closely with both IT and business teams, fostering collaboration within the organization,” he says. “We

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

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

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

CIO

OCTOBER 16, 2024

AI and edge, hand in hand As edge computing is all about real-time data processing at the end-point where data is gathered and needs to be processed, AI becomes a clear ally, says Antonio Vázquez, CIO of software company Bizagi. “AI An added benefit, as well, is data privacy, a contentious topic for AI systems.

Technical Advisors 215

Technical Advisors Energy Technical Review CTO Coach 215

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 93

Insurance Compliance Technical Review Banking 93

Cloudera

DECEMBER 9, 2024

Solution Patterns from Clouderas Professional Services provide a blueprint for scaling AI by encompassing all aspects of the AI lifecycle, from data engineering and model deployment to real-time inference and monitoring.

Knowledge Base 65

Knowledge Base Artificial Inteligence Scalability Data Engineering 65

Altexsoft

MARCH 18, 2021

This includes Apache Hadoop , an open-source software that was initially created to continuously ingest data from different sources, no matter its type. Cloud data warehouses such as Snowflake, Redshift, and BigQuery also support ELT, as they separate storage and compute resources and are highly scalable. Compliance.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

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 108

Architecture Innovation Data Open Source 108

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 120

Generative AI AWS Groups Artificial Inteligence 120

Altexsoft

JANUARY 14, 2021

The variety of data explodes and on-premises options fail to handle it. Apart from the lack of scalability and flexibility offered by modern databases, the traditional ones are costly to implement and maintain. At the moment, cloud-based data warehouse architectures provide the most effective employment of data warehousing resources.

Backup 115

Backup Azure Software Review Architecture 115

Apiumhub

DECEMBER 9, 2024

By integrating Azure Key Vault Secrets with Azure Synapse Analytics, organizations can securely access external data sources and manage credentials centrally. This integration not only improves security by ensuring that secrets in code or configuration files are never exposed but also improves compliance with regulatory standards.

Azure 70

Azure Analytics Storage Machine Learning 70

Cloudera

OCTOBER 1, 2022

According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations. . As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. People selling information. Infrastructure.

Government 79

Government Enterprise Artificial Inteligence Strategy 79

Xebia

MARCH 10, 2021

Because of the different character of the lab and factory setting, the request from a Data Scientist to the Data Engineer to productionise an advanced analytics model can be quite a labor intensive activity with many iterations and handovers. Data & Analytics adopting DevOps principles.

DevOps 130

DevOps Data Analytics Policies 130

Cloudera

DECEMBER 15, 2022

Performance and scalability. Cloudera developed unique features in CDP for Iceberg query performance and scalability for large data sets including I/O caching, dynamic partition pruning, vectorization, Z-ordering, parquet page indexes, and manifest caching. Read why the future of data lakehouses is open.

Cloud 85

Cloud Data Analytics Artificial Inteligence 85

Mentormate

JANUARY 11, 2022

Custom and off-the-shelf microservices cover the complexity of security, scalability, and data isolation and integrate into complex workflows through orchestration. That said, there’s still a significant data engineering effort to safely and securely aggregate and cleanse the data in the warehouse.

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

d2iq

JANUARY 18, 2022

Security: Data privacy and security are often afterthoughts during the process of model creation but are critical in production. It satisfies the organization’s security and compliance requirements, thus minimizing operational friction and meeting the needs of all teams involved in a successful ML project.

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

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 94

Data Analytics Machine Learning Artificial Inteligence 94

Altexsoft

FEBRUARY 11, 2023

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

FEBRUARY 11, 2019

To achieve their goals of digital transformation and becoming data-driven, companies need more than just a better data warehouse or BI tool. They need a range of analytical capabilities from data engineering to data warehousing to operational databases and data science. Governing for compliance.

Government 61

Government Compliance Artificial Inteligence Machine Learning 61

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Use cases: moving data from on-premises to cloud or between cloud environments.

Software Review 69

Software Review Software Data Technical Review 69

Cloudera

AUGUST 30, 2022

Legacy data sharing involves proliferating copies of data, creating data management, and security challenges. Data quality issues deter trust and hinder accurate analytics. Disparate systems create issues with transparency and compliance. Deploying modern data architectures.

Architecture 84

Architecture Data Artificial Inteligence Artificial Intelligence 84

Invid Group

AUGUST 28, 2024

Automation and Scalability Operationalization normally involves automating processes and workflows to enable scalability and efficiency. By automating data processes, organizations can ensure that insights and models are consistently applied to new data and operational decisions, reducing manual effort and improving responsiveness.

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

Cloudera

APRIL 21, 2022

This operation requires a massively scalable records system with backups everywhere, reliable access functionality, and the best security in the world. The platform can absorb data streams in real-time, then pass them on to the right database or distributed file system. . Shared catalog of data, metadata aids compliance requirements.

Security 93

Security Data Insurance System 93

Altexsoft

MARCH 16, 2021

In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

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. The top factors leading to respondents choosing proprietary databases included greater stability (68%), more security (63%), and regulatory compliance (61%).

Open Source 52

Open Source Database Administration Survey AWS 52

DataRobot

MARCH 16, 2023

To work effectively, data scientists need agility in the form of access to enterprise data, streamlined tooling, and infrastructure that just works. Agility and enterprise security, compliance, and governance are often at odds. Now you can take full advantage of the scale and elasticity of your Snowflake instance.

Data 52

Data Machine Learning Artificial Inteligence Agile 52

ParkMyCloud

JANUARY 17, 2020

Individuals in an associate solutions architect role have 1+ years of experience designing available, fault-tolerant, scalable, and most importantly cost-efficient, distributed systems on AWS. Must prove knowledge of deploying, operating and managing highly available, scalable and fault-tolerant systems on AWS.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

InnovationM

MAY 14, 2023

Technologies Behind Data Lake Construction Distributed Storage Systems: When building data lakes, distributed storage systems play a critical role. These systems ensure high availability and facilitate the storage of massive data volumes. Data Ingestion Tools: The journey of constructing a data lake starts with data ingestion.

Data 52

Data Storage Construction Business Intelligence 52

Cloudera

DECEMBER 10, 2020

Drawing on more than a decade of experience in building and deploying massive scale data platforms on economical budgets, Cloudera has designed and delivered a cost-cutting cloud-native solution – Cloudera Data Warehouse (CDW), part of the new Cloudera Data Platform (CDP). Watch this video to get an overview of CDW. .

Data 98

Data Technical Review Storage Systems Review 98

Cloudera

JUNE 4, 2018

release , can support unlimited scalability and enterprise security requirements, and can communicate with the data hub for content storage and indexing natively. It enabled the ingestion of over 1 PB of unstructured content into the data hub with a peak rate of over two million documents per hour. compliance reporting.

Pharmaceuticals 48

Pharmaceuticals Data Big Data Systems Review 48

Altexsoft

FEBRUARY 8, 2021

The data that your procurement management software generates can help you analyze potential suppliers’ performance by comparing their KPIs, prices, compliance, and other variables. Data engineers work with technologies, setting up and managing data pipelines to extract, store, and transform data for further usage.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

NOVEMBER 5, 2021

So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, database administration, and compliance with privacy regulations. Cloud capabilities and HIPAA compliance out of the box. What is health information management: brief introduction the HIM landscape.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Newgen Software

JUNE 5, 2024

Tereza needs an interface/platform that allows her to connect to different data sources and have a singular view. The platform also has the capability to pre-process the data, feature engineer, basically get data ready for modeling.

Banking 52

Banking Machine Learning Artificial Inteligence Generative AI 52

Altexsoft

JULY 19, 2022

The infrastructural shift means going from a fragmented platform with separate operational and analytical planes to an integrated infrastructure for both operational and data systems. Data mesh can be utilized as an element of an enterprise data strategy and can be described through four interacting principles.

Architecture 52

Architecture Data Analytics Data Engineering 52

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 117

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 117

Mobilunity

NOVEMBER 11, 2024

Large language models can run through, research, and interpret large amounts of text data like reports and financial statements, to recognize trends and map out possible risks. This knowledge enables companies to predict different cases including market shifts or compliance challenges and simplifies addressing potential troubles.

Artificial Inteligence 52

Artificial Inteligence Handbook Engineering Technical Review 52

Existek

JANUARY 11, 2022

And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Security, identity, and compliance. Scalable computing customized according to the company’s needs is a fundamental feature to look for. Migration and transfer. Networking and content delivery. Game tech

Azure 52

Azure AWS Cloud How To 52