CIO

APRIL 27, 2023

There’s an ever-growing need for technical pros who can handle the rapid pace of technology, ensuring businesses keep up with industry standards, compliance regulations, and emerging or disruptive technologies. The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management.

Technical Review 290

Technical Review Software Review Systems Review Software Engineering 290

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 358

Technical Advisors Energy Technical Review CTO Coach 358

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 358

LAN Systems Administration How To Software Engineering 358

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 88

Insurance Compliance Technical Review Banking 88

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

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 117

Generative AI AWS Groups Artificial Inteligence 117

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 74

Government Enterprise Artificial Inteligence Strategy 74

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 79

Cloud Data Analytics Machine Learning 79

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

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

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

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

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 Artificial Inteligence Machine Learning 88

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

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 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

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

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

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

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 57

Government Compliance Machine Learning Artificial Inteligence 57

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 Artificial Inteligence Machine Learning Agile 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

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

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 Artificial Inteligence Machine Learning Generative AI 52

Mobilunity

OCTOBER 30, 2024

Team scalability and flexibility. Legal Compliance and Data Security Working with an offshore team for AI product development requires adherence to these recommendations to ensure legal compliance and protection of sensitive data. Add new AI developers on the go and without an extensive employment process.

Technical Review 52

Technical Review Software Review Development How To 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 87

Security Data Insurance System 87

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

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

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

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

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

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 Artificial Inteligence 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

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

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 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