AWS Machine Learning - AI

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

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

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

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

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

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

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 Systems Review 115

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

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

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

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

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

DataRobot

MARCH 10, 2022

With Snowflake’s newest feature release, Snowpark , developers can now quickly build and scale data-driven pipelines and applications in their programming language of choice, taking full advantage of Snowflake’s highly performant and scalable processing engine that accelerates the traditional data engineering and machine learning life cycles.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Altexsoft

SEPTEMBER 9, 2022

Efficient metadata management ensures data integrity , consistency, trustworthiness, and compliance. To ensure metadata quality as well as correct application of metadata policies and proper compliance to requirements and standards, audits have to be regularly conducted by data stewards. Risk management and compliance.

Tools 59

Tools Technical Review Software Review Systems Review 59

Capgemini

MARCH 31, 2024

Alongside the challenges, it’s crucial to stay informed about the evolving regulatory landscape surrounding Generative AI and ensure compliance with relevant legal frameworks.

Software Engineering 52

Software Engineering Engineering Software Generative AI 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

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 82

Insurance Compliance Technical Review Banking 82

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

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 71

Government Artificial Inteligence Enterprise Strategy 71

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 76

Cloud Data Analytics Machine Learning 76

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

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 115

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 115

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

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 96

Architecture Innovation Data Machine Learning 96

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 75

Architecture Data Artificial Inteligence Artificial Intelligence 75

Altexsoft

SEPTEMBER 23, 2019

When approving the drafted documentation with business requirements included, the BA assures compliance of the development outcomes with a customer’s business goals. These are the product features that engineers implement to allow users to achieve their goals. Validating requirements. Standardizing the software development process.

Weak Development Team 62

Weak Development Team Software Development Research Project Management 62

O'Reilly Media - Ideas

MARCH 1, 2023

Decomposing a complex monolith into a complex set of microservices is a challenging task and certainly one that can’t be underestimated: developers are trading one kind of complexity for another in the hope of achieving increased flexibility and scalability long-term. Data engineering was the dominant topic by far, growing 35% year over year.

Trends 133

Trends Technical Review Technology Software Review 133

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 83

Data Analytics Machine Learning Artificial Inteligence 83

Altexsoft

JUNE 6, 2019

Data collected from the robot is processed in a cloud for planogram compliance. Having a huge team of customer-facing agents with the ability to interact on the fly is not sustainable or scalable. Employees use mobile devices with the Fellow app to get alerts about detected issues.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

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 56

Government Compliance Machine Learning Artificial Inteligence 56

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

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 83

Security Data Insurance System 83

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 45

Pharmaceuticals Data Big Data Systems Review 45

Altexsoft

NOVEMBER 10, 2021

Similar to some cloud data warehouses , the lakehouse architecture implies the use of separate clusters for storage and compute. This ensures greater scalability: Various apps and users can run concurrent queries on separate computing nodes while having direct access to the same storage. Decoupled storage and compute.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

NOVEMBER 23, 2021

If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT. You can learn more about how such data pipelines are built in our video about data engineering.

Virtualization 69

Virtualization Tools Data Architecture 69

CIO

JULY 5, 2023

For this reason, a multidisciplinary working group has been created at the competence center, whose mission will be to guarantee the responsible use of AI, ensuring security and regulatory compliance at all times. Likewise, he insists on building platforms that help staff make developing digital products as efficient and scalable as possible.

Artificial Inteligence 264

Artificial Inteligence Generative AI Energy Strategic Planning 264

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.

Data 110

Data Weak Development Team Data Engineering Scalability 110