Existek

JANUARY 11, 2022

Microsoft Azure is getting strong market positions and extending its services to meet all use cases. And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Both representatives have gone a long way to present that wide range of services to meet many use cases. .

Azure 52

Azure AWS Cloud How To 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

Altexsoft

SEPTEMBER 9, 2022

Efficient metadata management ensures data integrity , consistency, trustworthiness, and compliance. Such standards usually include essential elements which can describe almost any data. There are also subject or domain-specific metadata standards that meet the unique requirements of certain industries, domains, and disciplines.

Tools 59

Tools Technical Review Software Review Systems Review 59

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

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 86

Insurance Compliance Technical Review Banking 86

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 78

Cloud Data Analytics Machine Learning 78

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

Altexsoft

MARCH 18, 2021

It is the process of collecting raw data from disparate sources, transmitting it to a staging database for conversion, and loading prepared data into a unified destination system. The approach originated in the 1970s when companies started using multiple data repositories for work with different types of business information.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

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 77

Architecture Data Artificial Inteligence Artificial Intelligence 77

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 100

Architecture Innovation Data Open Source 100

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

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

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

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 86

Security Data Insurance System 86

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

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. Let’s suggest that our data elements meet all the above-mentioned quality criteria. But this is not the end of the story.

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

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

CIO

JULY 5, 2023

Casado, who most recently held the position of Repsol’s chief data officer, is now leading the digital program launched in the 2023-2025 framework—a roadmap that emphasizes cutting-edge technologies to meet its business objectives.

Artificial Inteligence 263

Artificial Inteligence Generative AI Energy Strategic Planning 263

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

Cloudera

JANUARY 11, 2021

Core business fails if data and compute services aren’t available fast, reliable, and scalable. Requests for IT resources for data and compute services can’t be delayed three to six months, which is how long the typical procurement cycle, machine configuration, and software installation takes. Introduction to CDW video.

Data 62

Data Pharmaceuticals Open Source Machine Learning 62

Agile Engine

DECEMBER 27, 2023

Introduction With the growing availability of cloud and AI, the data collected by organizations is now worth its weight in gold. Large-scale, granular, and actionable data analytics is more accessible than ever, but it still comes with numerous challenges. That’s where data analytics consultancies come into play.

Big Data 52

Big Data Analytics Data Analysis 52

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

Altexsoft

MARCH 14, 2023

In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support. This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. What is a modern data stack?

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Capgemini

MARCH 31, 2024

The evolution of microservices architecture lays the foundation for Generative Software Engineering. Eventually, these autonomous entities will seamlessly rewrite themselves to meet fluctuating demands, enhance performance, and integrate with other services. By leveraging Generative AI, we can create Generative Microservices.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52