Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data 83

Data Architecture Analytics Cloud 83

Perficient

DECEMBER 13, 2023

The Essence of a Metric Store: A metric store is a centralized repository designed explicitly for managing metrics definitions and data. Sitting snugly between your upstream data warehouses and downstream business applications, this innovative layer fundamentally transforms how metrics are handled.

Metrics 52

Metrics Artificial Inteligence Artificial Intelligence Business Intelligence 52

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

MARCH 17, 2023

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

ChatGPT 62

ChatGPT Education Data Comparison 62

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data 85

Data Analytics Cloud Technical Review 85

Cloudera

JUNE 2, 2021

Data pipelines are in high demand in today’s data-driven organizations. As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable.

Data 93

Data Data Engineering Machine Learning Artificial Inteligence 93

Perficient

DECEMBER 15, 2022

People and organizations constantly produce a lot of data. Generally, we want to store generated data to access it later. Data storing should be efficient in all aspects including speed, cost, reliability, security, etc. That’s why different approaches to data storing exist. Star Schema in Data Warehouse.

Systems Review 64

Systems Review Analytics Technical Review Data 64

Perficient

FEBRUARY 13, 2023

In part 1 of our blog series , we talked about driving ROI in healthcare with data analytics modernization. Through past implementations, Perficient has learned a lot about what adds time, effort, and cost to healthcare data & analytics projects. We’ve also learned a bit about what can be done to reduce the lift involved.

Healthcare 64

Healthcare AWS Analytics Pharmaceuticals 64

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . Company data exists in the data lake.

Data 98

Data Virtualization Banking Data Engineering 98

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

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

Capgemini

MAY 20, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. Releasing capital from an aging data infrastructure .

Infrastructure 64

Infrastructure Data Retail Analytics 64

Cloudera

OCTOBER 11, 2022

I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”. It’s because of data. . Data science needs analytics.

Data 95

Data Analytics Government Cloud 95

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Analytics 54

Analytics Trends Data Big Data 54

CTOvision

MARCH 31, 2014

The Pentaho blog has just announced a series of design overviews which can be of use in accelerating data modernization activities in your enterprise. These Blueprints to Big Data Success include design packages around the use cases of: Optimizing the data warehouse. Streamlining the data refinery.

Big Data 95

Big Data Data Architecture Analysis 95

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

Existek

OCTOBER 31, 2023

Artificial intelligence can introduce extra efficiency to facilitate data flow among different functionalities and support the main purposes of modern supply chains. Modern supply chains powered by AI are usually flexible and adaptable to changing market conditions. AI adoption plays a critical role in ensuring product quality.

How To 52

How To Artificial Inteligence Artificial Intelligence Transportation 52

Actian

FEBRUARY 13, 2020

Does your company have a real-time connected data warehouse where you can aggregate data flowing in from all of your IT systems together with streaming data from IoT, mobile, and SaaS services? Can you easily connect your on-premise, cloud, and multi-cloud systems to enable centralized analytics?

Infrastructure 40

Infrastructure Cloud Data Analytics 40

Actian

MAY 21, 2019

For many years, companies have been accumulating large amounts of data with an intuitive feeling that it has value and would be put to good use to make more informed business decisions. Data as a tool, instead of an asset. Unfortunately, simply possessing data doesn’t mean it is creating value for you.

Data 40

Data Artificial Inteligence Big Data Artificial Intelligence 40

Xicom

NOVEMBER 19, 2020

Will emerging technologies like Artificial Intelligence and Data Analytics still dominate the headlines, or will there be newcomers, previous core technologies will stay a hot-pick for app development companies in Dubai and take the lead. . Among them : 5G, AI, some like CDP (Customer Data Platforms) and cybersecurity may surprise you.

Mobile 98

Mobile Weak Development Team Development Blockchain 98

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. The sections that follow dive into the technology capabilities of COD and , more broadly, the Cloudera Data Platform that deliver these value propositions. . Technology Cost Optimization.

Storage 96

Storage Azure Technical Review Database Administration 96

Altexsoft

JUNE 11, 2021

Do you or your family members eat oatmeal for breakfast? If so, have you ever thought about how efficient your process of cooking is? If you dig into it, you can try to optimize your morning routine, but those few seconds that you save probably won’t be of decisive importance for you. What is process mining?

Applications 69

Applications Weak Development Team Systems Review Software Review 69

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

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 294

Artificial Inteligence Data Artificial Intelligence Analytics 294

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

Cloudera

AUGUST 30, 2018

Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success. Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g.

Enterprise 40

Enterprise Machine Learning Artificial Inteligence Budget 40

Cloudera

JULY 11, 2022

The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. Driving insight and value from it all is as much of an opportunity as it is a challenge. Cloudera data fabric and analyst acclaim.

Architecture 109

Architecture Data Government Scalability 109

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.

Serverless 245

Serverless Enterprise Microservices Open Source 245

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

JANUARY 21, 2021

Does your organization’s success depend on immediate delivery of new reports, applications, or projects? When you go to Central IT for support, are you blocked by insanely long wait times for the resources needed to meet your business goals? Cloudera Data Warehouse (CDW) is here to save the day!

Analytics 95

Analytics Storage Technical Review Virtualization 95

Altexsoft

OCTOBER 30, 2021

In the modern world, this distinction is even more vague. 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 Engineering 98

Data Engineering Engineering Data Machine Learning 98

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested.

Architecture 103

Architecture Innovation Data Open Source 103

Perficient

MAY 5, 2024

There are hundreds of permutations on how to proceed with sequencing, and your capital investment and ROI discussion is only part of the equation. However, many B2B companies grapple with fragmented systems and siloed data, resulting in suboptimal inventory visibility and operational inefficiencies.

B2B 52

B2B eCommerce Automotive Compliance 52

Cloudera

JUNE 30, 2022

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. Why integrate Apache Iceberg with Cloudera Data Platform?

Data 89

Data Analytics Machine Learning Artificial Inteligence 89