Altexsoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is the main difference between a data architect and a data engineer?

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

NOVEMBER 1, 2022

It’s no secret that IT modernization is a top priority for the US federal government. In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage.

Cloud 88

Cloud Government Storage Analytics 88

Cloudera

FEBRUARY 12, 2024

In a Cloudera deployment scenario, only storage accounts, PostgreSQL DB, and Key Vault support service endpoints. For example: Storage account private endpoint—the public DNS zone stores the public IP address of that service. As a consequence, for storage accounts, users either use service endpoints or private endpoints.

Azure 52

Azure Firewall Data Engineering Storage 52

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. This includes data cleansing, normalization, and enrichment.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

JULY 27, 2021

While billing used to be one of two critical things for any successful telco (the other being the network), today’s digital service providers prioritise channels, ecosystems, payments and cloud service architectures in enterprise architecture. Edge analytics by definition require in-network deployment.

Telecommunications 61

Telecommunications Data Architecture Big Data 61

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 117

Artificial Inteligence Generative AI Security Applications 117

Cloudera

DECEMBER 10, 2020

Generally, if five LOB users use the data warehouse on a public cloud for eight hours a day for one month, you pay for the use of the service and the associated cloud hardware resources (compute and storage) for this period. 150 for storage use = $15 / TB / month x 10 TB. 150 for storage use = $15 / TB / month x 10 TB.

Data 98

Data Technical Review Storage Systems Review 98

Cloudera

JANUARY 15, 2021

Overview of Cloudera Data Warehouse. Cloudera Data Warehouse is a cloud-native data warehouse based on the Apache Impala and Apache Hive SQL engines, deployed using a containerized architecture based on Kubernetes. CDW is one of several managed services that comprise the broader Cloudera Data Platform (CDP).

Performance 95

Performance Cloud Data Storage 95

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. It aims at making data assets understandable and discoverable for users. Metadata management is a part of the data governance process which, in turn, is an element of the overall data management strategy.

Tools 59

Tools Technical Review Software Review Systems Review 59

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.

Data 84

Data Analytics Cloud Technical Review 84

KitelyTech

FEBRUARY 3, 2021

It often includes three main components like the database schema, database application, and data engine. The consistent operation between those three components will facilitate data integrity, reliability, consistency, and transaction maintainability. Therefore, the software must have an easily extendable architecture.

Big Data 52

Big Data Data Development Business Intelligence 52

TIBCO - Connected Intelligence

DECEMBER 11, 2020

Like the rest of the world, data is transforming the landscape of how Nordics citizens live and work, how commerce occurs, how its governments engage, and so much more. A clear data architecture vision that takes advantage of the cloud and all the other great data storage and processing options available today.

Business Transformation 52

Business Transformation Data Analytics Hotels 52

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. This greatly increases data processing capabilities.

Big Data 75

Big Data Data Engineering Engineering Data 75

Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. Citizens who have negative experiences with government services are less likely to use those services in the future. Modern data architectures. Towards Data Science ). Deploying modern data architectures.

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. Projections show that the data governance market will expand from $1.81

Government 52

Government Tools Data Weak Development Team 52

Cloudera

APRIL 26, 2023

Can you achieve similar outcomes with your on-premises data platform? Application modernization initiatives have led to cloud native architectures gaining popularity on premises, making it a sensible choice to extend to your data platform. This is exactly where cloud native architectures excel, and why they are so popular.

Cloud 65

Cloud Data Load Balancer Storage 65

Kentik

APRIL 11, 2016

Clustered computing for real-time Big Data analytics. The concept of parallel processing based on a “clustered” multi-computer architecture has a long history dating back at least as far as Gene Amdahl’s work at IBM in the 1960s. For more on how we make it work, see Inside the Kentik Data Engine.).

Big Data 40

Big Data Analytics Network Architecture 40

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake. Data lake architecture example.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

MARCH 23, 2022

Please join us on March 24 for Future of Data meetup where we do a deep dive into Iceberg with CDP . Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. What is Apache Iceberg? 1: Multi-function analytics .

Data 92

Data Open Source Storage Machine Learning 92

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Who wants to learn about design patterns or software architecture when some AI application may eventually do your high-level design?

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Data 108

Data Analytics Disaster Recovery Travel 108

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 ). Why integrate Apache Iceberg with Cloudera Data Platform?

Data 87

Data Analytics Machine Learning Artificial Inteligence 87

ParkMyCloud

JANUARY 17, 2020

Display a basic understanding of core AWS services, uses, and basic AWS architecture best practices. Intended for individuals who have a DevOps engineer role and two or more years of experience operating, provisioning and managing AWS environments. Design and maintain network architecture for all AWS services.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. Apache Hadoop architecture. What is Hadoop?

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

APRIL 26, 2022

We’ll dive deeper into Snowflake’s pros and cons, its unique architecture, and its features to help you decide whether this data warehouse is the right choice for your company. Data warehousing in a nutshell. The data journey from different source systems to a warehouse commonly happens in two ways — ETL and ELT.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

JUNE 26, 2023

Both data integration and ingestion require building data pipelines — series of automated operations to move data from one system to another. For this task, you need a dedicated specialist — a data engineer or ETL developer. Data engineering explained in 14 minutes. Find sources of relevant data.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 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

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

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 97

Strategy Data Technical Review Weak Development Team 97

Cloudera

NOVEMBER 2, 2020

On the technical side, it is cheaper and easier than ever to instrument everything and send that data in real-time through a messaging system. On the business side, companies and governments are digitizing and automating as many of their operations as possible so decision making and asset management can be more effective. Data Model.

Data 95

Data Analytics Storage Big Data 95

Altexsoft

OCTOBER 2, 2020

Data is a valuable source that needs management. If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Cloudera

APRIL 9, 2021

However, legacy data warehouses have limited support for public and private cloud deployment architectures. Managing disparate solutions is operationally inefficient, provides an inconsistent user experience and often leads to increased risk due to a lack of common security, governance and lineage of data. . Efficiency.

Data 59

Data Software Review Technical Review Architecture 59

Cloudera

AUGUST 24, 2020

Today we are continuing our discussion with Martin Mannion , EMEA Big Data Community lead at Deloitte and Paul Mackay, the EMEA Cloud Lead at Cloudera to look at why security and governance requirements must be tackled in the early stages of data-led use case development, thereby mitigating more work later on.

Cloud 78

Cloud Data Government Innovation 78

Cloudera

NOVEMBER 28, 2017

Business analysts get iterative and flexible analytics with no limits on the number of users or use cases, and IT can easily manage across all tenants with simplified security and governance. Many business users are faced with limitations on what data they can access, how quickly they can do so, and what they can do with it.

Analytics 40

Analytics Cloud Data Data Engineering 40

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

Cloud 88

Cloud Analytics AWS Engineering 88

Cloudera

DECEMBER 7, 2017

This means cloud makes it too easy to accidentally create a lot of redundant silos of data for each of those cloud analytics services. That data may be stored multiple times in different pools, each multiplying storage resource costs. That data may be hard to discover for other users and other applications.

Data 40

Data Machine Learning Artificial Inteligence Analytics 40