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

DECEMBER 2, 2024

As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. Together, FinOps and GreenOps form a powerful approach to cloud strategy supporting cost-efficient sustainable operations. Cloudera Data Engineering is just the start.

Sustainability 89

Sustainability AWS Analytics Infrastructure 89

CIO

JULY 6, 2023

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. In contrast, Oracle is yet to configure how it will help enterprises access data and model tuning tools as part of its planned service.

Generative AI 170

Generative AI Artificial Inteligence Strategy Google Cloud 170

CIO

FEBRUARY 14, 2023

Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal. Kubernetes can align a real-time AI execution strategy for microservices, data, and machine learning models, as it adds dynamic scaling to all of these things.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

The Crazy Programmer

NOVEMBER 6, 2021

A cloud architect is an IT professional who is responsible for implementing cloud computing strategies. A cloud architect has a profound understanding of storage, servers, analytics, and many more. Big Data Engineer. Another highest-paying job skill in the IT sector is big data engineering.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 82

Data Engineering Engineering Data Generative AI 82

CIO

APRIL 10, 2024

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Data-obsessed individuals such as Sherlock Holmes knew full well the importance of inferencing in making predictions, or in his case, solving mysteries.

Artificial Inteligence 203

Artificial Inteligence Generative AI Storage Artificial Intelligence 203

Netflix Tech

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 84

Storage Data Resources Data Engineering 84

Perficient

MARCH 27, 2025

Deletion vectors are a storage optimization feature that replaces physical deletion with soft deletion. Data privacy regulations such as GDPR , HIPAA , and CCPA impose strict requirements on organizations handling personally identifiable information (PII) and protected health information (PHI).

Compliance 64

Compliance Systems Review Policies Storage 64

Trigent

JUNE 20, 2022

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

CIO

FEBRUARY 13, 2023

At the same time, they are defunding technologies that no longer contribute to business strategy or growth. Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group. This should secure our business strategy for the next five years and longer.”

Budget 218

Budget Artificial Inteligence Technical Review VR 218

Cloudera

AUGUST 20, 2021

How CDP Enables and Accelerates Data Product Ecosystems. A multi-purpose platform focused on diverse value propositions for data products. A fine-grained data permissioning mechanism enabled by Apache Ranger that provides a unified security layer for controlling user authorization for database elements at granular level (e.g.,

Strategy 98

Strategy Data Technical Review Weak Development Team 98

CIO

SEPTEMBER 2, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Director of software engineering. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Director of software engineering. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

Netflix Tech

FEBRUARY 14, 2025

We can experiment with different content placements or promotional strategies to boost visibility and engagement. Analyzing impression history, for example, might help determine how well a specific row on the home page is functioning or assess the effectiveness of a merchandising strategy.

Systems Review 66

Systems Review Technical Review Data Metrics 66

CIO

JUNE 22, 2023

Consulting In the consulting industry, technology has become an important tool for making decisions, designing solutions, improving processes, and providing insights on optimizing business strategy. Consulting firms are increasingly turning to tech talent to help build in-house platforms, according to the report from Dice.

Industry 183

Industry UI/UX Telecommunications Quality Assurance 183

CIO

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. That strategy is doomed to fail. What are the layers?

Data 147

Data Architecture Government Strategy 147

Xebia

JULY 29, 2024

They are generally more interested in strategy and business outcomes. Data modelers need input from the business to understand what data is important and how it should be used. On the other hand, the business relies on data modelers to create strategies and visualize outcomes.

Technical Review 130

Technical Review Data Systems Review Meeting 130

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Data Generation at Scale.

Data 101

Data Storage Architecture Big Data 101

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. Is it still so?

Backup 115

Backup Azure Software Review Architecture 115

Xebia

JANUARY 30, 2025

And that some people in your company should be allowed to view that personal data, while others should not. And let’s say you have an employees table that looks like this: employee_id first_name yearly_income team_name 1 Marta 123.456 Data Engineers 2 Tim 98.765 Data Analysts You could provide access to this table in different ways.

Data 130

Data Groups Data Engineering Systems Review 130

Altexsoft

OCTOBER 2, 2020

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. Data management components.

Strategy 64

Strategy Database Administration Data Technical Review 64

Tenable

NOVEMBER 3, 2022

When our data engineering team was enlisted to work on Tenable One, we knew we needed a strong partner. 4, represents a paradigm shift in how organizations can improve their preventive cybersecurity strategies to reduce risk. In that time, our data engineering team also scaled from five to 11 engineers.

Data 98

Data AWS Storage Data Engineering 98

Kentik

APRIL 4, 2023

Highly available networks are resistant to failures or interruptions that lead to downtime and can be achieved via various strategies, including redundancy, savvy configuration, and architectural services like load balancing. Redundancy While not always the most affordable option, one of the most direct reliability strategies is redundancy.

Network 104

Network Load Balancer Cloud Backup 104

Perficient

FEBRUARY 28, 2023

This is the final blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Once data is in the Data Lake, the data can be made available to anyone.

Data 110

Data Analytics Google Cloud Cloud 110

Altexsoft

FEBRUARY 11, 2023

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? By the way, we have a video dedicated to the data engineering working principles.

Data 87

Data Data Engineering Big Data Architecture 87

CIO

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. The exam is designed for seasoned and high-achiever data science thought and practice leaders.

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

Cloudera

FEBRUARY 14, 2024

It offers several benefits such as schema evolution, hidden partitioning, time travel, and more that improve the productivity of data engineers and data analysts. This blog discusses a few problems that you might encounter with Iceberg tables and offers strategies on how to optimize them in each of those scenarios.

Strategy 59

Strategy Travel Groups Data 59

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Cloud 105

Cloud Artificial Inteligence Generative AI Analytics 105

Cloudera

NOVEMBER 1, 2022

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 89

Cloud Government Analytics Storage 89

Altexsoft

MARCH 18, 2021

This includes Apache Hadoop , an open-source software that was initially created to continuously ingest data from different sources, no matter its type. Cloud data warehouses such as Snowflake, Redshift, and BigQuery also support ELT, as they separate storage and compute resources and are highly scalable.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Altexsoft

NOVEMBER 23, 2020

Otherwise, let’s start from the most basic question: What is data migration? What is data migration? In general terms, data migration is the transfer of the existing historical data to new storage, system, or file format. What makes companies migrate their data assets. Main types of data migration.

Data 104

Data Transportation Backup Storage 104

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 82

Data Analytics Government Technical Review 82

Hu's Place - HitachiVantara

JANUARY 3, 2019

They have laid out their strategies and are allocating resources to this transformation. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. As more data is generated, there will be a corresponding growth in demand for storage space efficiency.

Trends 86

Trends Artificial Inteligence Machine Learning Data Center 86

Altexsoft

DECEMBER 9, 2020

However, even at this basic level, data is collected and managed — at least for accounting purposes. At this stage, there is no analytical strategy or structure whatsoever. Data is collected to provide a better understanding of the reality, and in most cases, the only reports available are the ones reflecting financial results.

Analytics 102

Analytics Technical Review Technology Applications 102

Datavail

MARCH 10, 2022

In other words, 80 percent of companies’ Big Data projects will fail and/or not deliver results. There are many reasons for this failure, but poor (or a complete lack of) data governance strategies is most often to blame. What is Data Governance? There are many complex definitions for data governance.

Government 40

Government Strategy Weak Development Team Company 40