TechCrunch

JULY 12, 2022

But it’s difficult for any one employee to keep up with — much less manage — the massive volumes of data being created. That poses a problem, given AI systems tend to deliver superior predictions when they’re provided up-to-the-minute data. Systems use features to make their predictions.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Solutions architect Solutions architects are responsible for building, developing, and implementing systems architecture within an organization, ensuring that they meet business or customer needs.

Technical Review 280

Technical Review Software Review Systems Review Software Engineering 280

Hu's Place - HitachiVantara

JANUARY 15, 2019

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems. 2018 was a very busy year for Hitachi Vantara.

Systems Review 72

Systems Review Storage System Software Review 72

CIO

JUNE 14, 2023

Going from petabytes (PB) to exabytes (EB) of data is no small feat, requiring significant investments in hardware, software, and human resources. Simplifying data management and streamlining software administration, including maintenance, upgrades, and availability, have become paramount for a functional and manageable system.

Data 157

Data Scalability Storage Big Data 157

Xebia

MAY 16, 2023

Data Engineers were tempted by the pressure of the moment to give up on testing all together. There was no need for generating your own data; just take a percentage of production data. In many cases, these tasks ended up on the shoulders of the Data Engineers themselves. Overly restrictive governance.

Testing 130

Testing How To Data Engineering Engineering 130

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

AUGUST 26, 2020

Informatica and Cloudera deliver a proven set of solutions for rapidly curating data into trusted information. Informatica’s comprehensive suite of Data Engineering solutions is designed to run natively on Cloudera Data Platform — taking full advantage of the scalable computing platform.

Data 82

Data Machine Learning Artificial Inteligence Disaster Recovery 82

Cloudera

FEBRUARY 1, 2024

In the fast-paced world of cloud-native products, mastering Day 2 operations is crucial for sustaining the performance and stability of Kubernetes-based platforms, such as CDP Private Cloud Data Services. Day 2 operations are akin to the housekeeping of a software system — vital for maintaining its health and stability.

Backup 82

Backup Architecture Cloud Resources 82

O'Reilly Media - Ideas

AUGUST 18, 2020

We’ll share why in a moment, but first, we want to look at a historical perspective with what happened to data warehouses and data engineering platforms. Lessons Learned from Data Warehouse and Data Engineering Platforms. This is an open question, but we’re putting our money on best-of-breed products.

Machine Learning 144

Machine Learning Artificial Inteligence Data Data Engineering 144

d2iq

JANUARY 18, 2022

Integration: Only a small percentage of production ML systems are model code; the rest is glue code needed to make the overall process repeatable, reliable, and resilient. Security: Data privacy and security are often afterthoughts during the process of model creation but are critical in production.

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

Erik Bernhardsson

DECEMBER 6, 2022

Data teams often need to change infrastructure a lot more often (sometimes every new cron job needs a Terraform update), have very “bursty” needs for compute power, and needs a much wider range of hardware (GPUs! There's a weird sort of backend-normative view of what data teams should do, but I think it's very misguided.

CTO Coach 242

CTO Coach Fractional CTO Software Engineering Serverless 242

Cloudera

MAY 3, 2021

In the last five years, there has been a meaningful investment in both Edge hardware compute power and software analytical capabilities. Real-time and time series data is growing 50% faster than static data forms and streaming analytics is projected to grow at a 34% CAGR. Democratization of Data. Organizational Access.

Scalability 101

Scalability Agile Data Systems Review 101

Altexsoft

JULY 29, 2022

What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop? Under the hood, the framework divides a chunk of Big Data into smaller, digestible parts and allocates them across multiple commodity machines to be processed in parallel. Apache Hadoop architecture. Scalability.

Big Data 59

Big Data Data Google Cloud Storage 59

Kentik

MAY 31, 2023

For many enterprises, applications represent only a portion of a much larger reliability mandate, including offices, robotics, hardware, and IoT, and the complex networking, data, and observability infrastructure required to facilitate such a mandate.

Network 52

Network Cloud Load Balancer Firewall 52

Cloudera

APRIL 22, 2021

This CVD is built using Cloudera Data Platform Private Cloud Base 7.1.5 on Cisco UCS S3260 M5 Rack Server with Apache Ozone as the distributed file system for CDP. Data Generation at Scale. A data generator tool was written to create fake data for Ozone. APACHE OZONE DENSE DEPLOYMENT CONFIGURATION.

Data 100

Data Storage Architecture Big Data 100

Altexsoft

MARCH 31, 2020

That means your website must quickly process lots of transactions involving small amounts of data like order ID and details, user ID, or credit card data. Online transaction processing ( OLTP ) systems, namely databases and applications like a shopping cart, make it possible for an eCommerce business to work non-stop as it should do.

Data 76

Data Storage Analytics Data Center 76

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Data analysis.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

DECEMBER 4, 2020

Hardware and software become obsolete sooner than ever before. So data migration is an unavoidable challenge each company faces once in a while. Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few.

Software Review 69

Software Review Software Data Technical Review 69

DataRobot

FEBRUARY 9, 2022

Typical IT departments work with dozens of evolving language and framework combinations and hardware modifications. Solution: Flexible MLOps systems allow staff to manage constant changes in dependencies and languages. But when the marketplace shifts — and your data along with it — what processes can you put in place to adapt quickly?

Machine Learning 52

Machine Learning Artificial Inteligence eBook Guidelines 52

O'Reilly Media - Ideas

JANUARY 25, 2024

And the real question that will change our industry is “How do we design systems in which generative AI and humans collaborate effectively?” Domain-driven design is particularly useful for understanding the behavior of complex enterprise systems; it’s down, but only 2.0%. So the software development world is changing. We also saw 9.8%

Trends 119

Trends Technical Review Technology Artificial Inteligence 119

Kentik

APRIL 4, 2023

If implemented poorly, many organizations find themselves wasting resources on arbitrary monitoring and persistently vulnerable systems. However, arriving at specs for other aspects of network performance requires extensive monitoring, dashboarding, and data engineering to unify this data and help make it meaningful.

Network 104

Network Load Balancer Cloud Backup 104

O'Reilly Media - Ideas

DECEMBER 6, 2018

Progress in research has been made possible by the steady improvement in: (1) data sets, (2) hardware and software tools, and (3) a culture of sharing and openness through conferences and websites like arXiv. Companies have taken notice and want to build ML and AI into their systems and products. is extremely high.

Technology 79

Technology Artificial Inteligence Machine Learning Hardware 79

Altexsoft

MARCH 18, 2021

ETL and ELT are the most widely applied approaches to deliver data from one or many sources to a centralized system for easy access and analysis. With ETL, data is transformed in a temporary staging area before it gets to a target repository (e.g ETL made its way to meet that need and became the standard data integration method.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Cloudera

MAY 17, 2021

Companies can now upgrade either component, CDP Private Cloud as well as OpenShift, in place and in any order thereby reducing system downtime. . CDW – Lower minimum hardware requirements. CDP Private Cloud can now be connected to an enterprise alerts system of choice for centralized notification of any health-related issues.

Cloud 89

Cloud Machine Learning Artificial Inteligence Storage 89

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Cloudera

DECEMBER 10, 2020

Some data warehousing solutions such as appliances and engineered systems have attempted to overcome these problems, but with limited success. . Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. The time IT spends on maintaining the data is greatly reduced.

Data 98

Data Technical Review Storage Systems Review 98

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. ELT vs ETL. Order of process phases.

Tools 52

Tools Software Review Systems Review Testing 52

TIBCO - Connected Intelligence

AUGUST 10, 2020

Taking action to leverage your data is a multi-step journey, outlined below: First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams.

Virtualization 69

Virtualization Data How To Data Engineering 69

Datavail

MARCH 31, 2022

Those that also apply directives from their data to operationalize their systems will be at the forefront of their industry. Many companies use business models to construct their systems and networks, then maintain those models to retain their market share. The Significance of Strategy. Analytics as an Operational Tool.

Business Analytics 52

Business Analytics Analytics Artificial Inteligence Strategy 52

Altexsoft

DECEMBER 14, 2022

Today, systems may include diverse components from JavaScript frameworks and NoSQL databases to REST APIs and backend services all written in different programming languages. What’s more, this software may run either partly or completely on top of different hardware – from a developer’s computer to a production cloud provider.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

O'Reilly Media - Ideas

MARCH 1, 2022

Their goal is to collect real-world samples from speakers in as many languages as possible, as an aid to training natural language systems. “ All datasets have world views ” is an excellent interactive article showing how bias, labeling, and data go hand in hand. Datasets always come with histories and politics. Programming.

Trends 96

Trends Blockchain Serverless Malware 96

Altexsoft

JUNE 7, 2021

Hadoop allows you to leverage data from multiple sources and in different formats, both structured and unstructured. You don’t need to archive or clean data before loading. Hadoop works on low-cost, commodity hardware which makes it relatively cheap to maintain. Physically, they require the best hardware resources available.

Big Data 98

Big Data Tools Data Storage 98

Abhishek Tiwari

DECEMBER 27, 2017

Unified data management architecture. A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache.

Trends 49

Trends Artificial Inteligence Data Big Data 49

Altexsoft

DECEMBER 9, 2020

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

FEBRUARY 22, 2022

You can adopt a comprehensive fleet management system that has vehicle maintenance as one of its modules. If, for example, your fleet management system doesn’t have that maintenance module, you can implement specialized fleet maintenance software. If data is siloed, you can’t use it effectively and benefit from it.

Software Review 52

Software Review Technical Review Software Technology 52

O'Reilly Media - Ideas

MARCH 1, 2023

That’s a fairly good picture of our core audience’s interests: solidly technical, focused on software rather than hardware, but with a significant stake in business topics. The topics that saw the greatest growth were business (30%), design (23%), data (20%), security (20%), and hardware (19%)—all in the neighborhood of 20% growth.

Trends 137

Trends Technical Review Technology Software Review 137

Altexsoft

FEBRUARY 8, 2021

Reducing shrinkage becomes possible when all the internal and external data is combined in one system to be thoroughly analyzed. Data can be obtained from both inside your organization across different departments and outside it. Analytics in logistics and transportation.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87