Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business.

Enterprise 87

Enterprise Cloud Data Machine Learning 87

Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. And data science provides us with methods to make use of this data.

Data Engineering 52

Data Engineering Engineering Data Machine Learning 52

Altexsoft

NOVEMBER 10, 2020

Business Intelligence is a practice of turning raw data into useful insights. It allows you to collect data from different sources, organize it, and then enjoy the analytics. A BI strategy will allow you to address all your data problems and needs, develop a cohesive system, and keep it maintained. Tools and architecture.

Business Intelligence 107

Business Intelligence Strategy How To Development 107

Perficient

JULY 23, 2023

the default search solution for React-based storefronts is Elasticsearch, while the Solr architecture is not intended for their implementation. Advantages: One of the key advantages of using Elasticsearch within the HCL Commerce Search Service is its efficient handling of large volumes of data. Notably, in Version 9.1,

Microservices 52

Microservices Scalability Architecture Analysis 52

Trigent

JUNE 20, 2022

Businesses worldwide are realizing the importance of the considerable volume of data they possess and the need to extract value from it and incorporate it into enhancing Customer Experience or simplifying operational processes for improved results. This is where data engineering services providers come into play.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data 98

Data Technical Review Storage Systems Review 98

Stackery

JULY 3, 2019

While there isn’t a formal serverless track, there are some great sessions for those considering serverless tools or those who are experienced in serverless and want to hear new insights and perspectives! WebSockets aren’t new, but a new serverless architecture is now possible with Amazon API Gateway integrations. Paul Chin Jr.

Serverless 40

Serverless AWS Lambda Software Review 40

TIBCO - Connected Intelligence

OCTOBER 15, 2020

That’s part of why I was excited to attend the “What’s New and What’s Next for TIBCO® Data Virtualization ” session at our recent TIBCO NOW event. . For instance: How will this new capability impact my client’s as-is and future architectures? What’s New and Next for my Accenture Energy and Utility Clients .

Virtualization 50

Virtualization Data Energy Innovation 50

CTOvision

FEBRUARY 25, 2014

The point to me is that Pentaho’s comprehensive approach to data integration and business analytics has been designed for continual improvement. Open architectures and well thought out approaches are the way to go. Process Data as it Arrives. Leverage Existing Data Transformations. For more info see: [link].

Big Data 102

Big Data Open Source Business Analytics Analytics 102

OpenCredo

JULY 13, 2018

The Power of the Architecture-driven Organisation. Project Datatron: Architecture-driven Collaboration. We were asked to iron out some of the creases in a new Data Producer platform involving one of the Data Consumer pipelines (let’s call it Project Datatron). – Melvin Conway.

Architecture 40

Architecture Fractional CTO CTO Coach Engineering 40

Cloudera

MAY 16, 2019

The conference provides a useful opportunity to reflect on the rapid evolution we’ve seen in the Data Integration and Management space, much of it driven by the innovations that Cloudera and the open source community have been delivering. The traditional Data Warehouse ETL process has splintered into many smaller components.

Analytics 40

Analytics Open Source Government Trends 40

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Enter the data lakehouse. Lakehouses redeem the failures of some data lakes.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

OpenCredo

APRIL 2, 2020

Data Cataloguing. “What good is data collection if we don’t know what we have?” A good data catalogue will feature: A searchable repository : many products on the market will allow for a searchable website. Data Governance. “What good is data if we can’t keep it secure?”

Development Team Review 40

Development Team Review Systems Review Comparison Government 40

High Scalability

APRIL 14, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 42

Education System Design Scalability Software Engineering 42

High Scalability

MAY 12, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 41

Education System Design Scalability Software Engineering 41

High Scalability

APRIL 28, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 41

Education System Design Scalability Software Engineering 41

Infinidat

MAY 22, 2019

So, what led to me becoming a believer? I will walk you through my thought process by listing the insights, market and technology trends, and end-user buying behaviors that led to my decision to join Infinidat. . It also helped a lot that the position they offered me sounded like it would be a lot of fun. .

Storage 40

Storage Software Review Data Center Technical Review 40

CIO

DECEMBER 22, 2022

What is DataOps? DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise.

Analytics 325

Analytics Data Engineering Machine Learning Artificial Inteligence 325

High Scalability

MAY 26, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 40

Education System Design AWS Scalability 40

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 299

Artificial Inteligence Data Artificial Intelligence Analytics 299

Netflix Tech

OCTOBER 18, 2019

As with other traditional machine learning and deep learning paths, a lot of what the core algorithms can do depends upon the support they get from the surrounding infrastructure and the tooling that the ML platform provides. At Netflix, we are running several such experiments. This was the motivation for the meetup’s theme.

Metrics 50

Metrics Policies Infrastructure Architecture 50

Hacker Earth Developers Blog

MAY 22, 2020

And I guess that’s where I learned that I was passionate about Data Science and Machine Learning while building some algorithms to help this company out and the product that they were building. And I figured that I needed a little bit more theoretical grounding and understanding of Data Science and Machine Learning.

Machine Learning 130

Machine Learning Artificial Inteligence Software Engineering Engineering 130

Netflix Tech

OCTOBER 18, 2019

As with other traditional machine learning and deep learning paths, a lot of what the core algorithms can do depends upon the support they get from the surrounding infrastructure and the tooling that the ML platform provides. At Netflix, we are running several such experiments. This was the motivation for the meetup’s theme.

Metrics 40

Metrics Policies Infrastructure Architecture 40

TechCrunch

JUNE 1, 2022

Ethan Batraski is a partner at Venrock and focuses on data infrastructure, open source and developer tools. Thanks to the cloud, the amount of data being generated and stored has exploded in scale and volume. billion, just in the last 24 months, according to CB Insights. More posts by this contributor. Image Credits: Venrock.

Serverless 245

Serverless Enterprise Microservices Open Source 245

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

Altexsoft

OCTOBER 30, 2021

Explaining the difference, especially when they both work with something intangible such as data , is difficult. If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

Altexsoft

APRIL 22, 2020

quintillion bytes of data generated daily, data scientists get busier than ever. And data science provides us with methods to make use of this data. But, understanding and interpreting data is just a final stage in a long way, as the information goes from its raw format to the fancy analytical boards.

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

Altexsoft

FEBRUARY 10, 2021

Unless you meet it in the article saying that “only 13 percent data science projects make it into production.” This sounds really ominous — especially, for companies heavily investing in data-driven transformations. New approaches arise to speed up the transformation of raw data into useful insights. DataOps vs DevOps.

Analytics 75

Analytics DevOps Development Software Review 75

Cloudera

APRIL 26, 2023

Data is core to decision making today and organizations often turn to the cloud to build modern data apps for faster access to valuable insights. Can you achieve similar outcomes with your on-premises data platform? These include data recovery service, quota management, node harvesting, optimizing TCO, and more.

Cloud 63

Cloud Data Load Balancer Storage 63

Datavail

MAY 21, 2020

ETL (extract, transform, load) is the backbone of data processing for modern enterprises, helping you get the valuable insights you rely on day in and day out. Yet despite ETL being a critical business function, too many users aren’t familiar with what’s causing the issues when they encounter ETL challenges.

Analytics 98

Analytics Analysis Business Intelligence Data 98

Netflix Tech

JUNE 13, 2023

But what happens when this machinery needs a transformation? Behind these perfect moments of entertainment is a complex mechanism, with numerous gears and cogs working in harmony. This is where large-scale system migrations come into play. Sticky Canary is an improvement to the traditional canary process that addresses this limitation.

Metrics 111

Metrics Systems Review Testing Software Review 111

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. What is a data warehouse?

Backup 115

Backup Azure Software Review Systems Review 115

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Analytics 107

Analytics Data Analysis Enterprise 107

Altexsoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka? What Kafka is used for.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

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.

Architecture 52

Architecture Data Analytics Data Engineering 52