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

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. Each unlocking value in the data engineering workflows enterprises can start taking advantage of. Usage Patterns.

Data Engineering 113

Data Engineering Engineering Data Storage 113

Cloudera

NOVEMBER 19, 2020

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. The Public Sector data challenge. Modernization has been a boon to government.

Government 119

Government Artificial Inteligence Data Machine Learning 119

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. CRM platforms).

Scalability 94

Scalability Data Technical Review Analytics 94

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

TechCrunch

APRIL 26, 2021

“We are, I believe, a really effective and scalable AI company, not just for the U.K. Palantir doesn’t really do AI, they do data engineering in a big way. I asked him why Faculty had attracted VC when, typically, VCs invest in startups that have scalable products. but we’re working in the U.S.

Artificial Inteligence 231

Artificial Inteligence Machine Learning Artificial Intelligence Scalability 231

Perficient

FEBRUARY 13, 2025

SAP Databricks is important because convenient access to governed data to support business initiatives is important. Breaking down silos has been a drumbeat of data professionals since Hadoop, but this SAP <-> Databricks initiative may help to solve one of the more intractable data engineering problems out there.

Government 64

Government Open Source Machine Learning Artificial Inteligence 64

TechCrunch

NOVEMBER 2, 2022

.” Built on top of data warehousing service Snowflake and Google’s BigQuery engine, Y42 ‘s new fully managed service aims to provide businesses with more of the tools to make their data stack easily accessible for more users while also providing additional collaboration tools and improved data governance services.

Data 203

Data Business Intelligence Open Source Government 203

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. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

CTOvision

MAY 1, 2014

IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers. Primary Responsibilities.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal implemented several measures to improve the security, governance, and performance of its conversational AI platform. The Principal AI Enablement team, which was building the generative AI experience, consulted with governance and security teams to make sure security and data privacy standards were met.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

TechCrunch

JULY 25, 2022

The company was founded in 2021 by Brian Ip, a former Goldman Sachs executive, and data engineer YC Chan. He added that this disadvantage of payroll software is that they only provide basic admin functions around payroll calculation, and are not scalable.

Recruiting 224

Recruiting Technical Review Software Review Systems Review 224

CIO

AUGUST 3, 2022

It is a mindset that lets us zoom in to think vertically about how we deliver to the farmer, vet, and pet owner, and then zoom out to think horizontally about how to make the solutions reusable, scalable, and secure. To solve this, we’ve kept data engineering in IT, but embedded machine learning experts in the business functions.

Leadership 218

Leadership Artificial Inteligence Machine Learning IoT 218

CIO

JUNE 19, 2024

Platform engineering: purpose and popularity Platform engineering teams are responsible for creating and running self-service platforms for internal software developers to use. They may also ensure consistency in terms of processes, architecture, security, and technical governance. Don’t skimp on automation and tooling.

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

CIO

JANUARY 22, 2024

That amount of data is more than twice the data currently housed in the U.S. Nearly 80% of hospital data is unstructured and most of it has been underutilized until now. To build effective and scalable generative AI solutions, healthcare organizations will have to think beyond the models that are visible at the surface.

Generative AI 147

Generative AI Healthcare Fractional CTO Artificial Inteligence 147

Apiumhub

DECEMBER 9, 2024

Integrated Data Lake Synapse Analytics is closely integrated with Azure Data Lake Storage (ADLS), which provides a scalable storage layer for raw and structured data, enabling both batch and interactive analytics. When Should You Use Azure Synapse Analytics? finance, healthcare).

Azure 91

Azure Analytics Storage Artificial Inteligence 91

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Government 75

Government Enterprise Artificial Inteligence Strategy 75

Capgemini

NOVEMBER 21, 2024

It means they must manage and innovate on a data and reporting ecosystem of technology which has been developed over the last couple of decades. Every aspect of the platform is geared toward protecting your data, both in transit and at rest. Governance (trusted) Not all data is equal, but all data needs to be governed appropriately.

Data 52

Data Government Innovation Architecture 52

Perficient

MARCH 27, 2025

Ensuring compliant data deletion is a critical challenge for data engineering teams, especially in industries like healthcare, finance, and government. Deletion Vectors in Delta Live Tables offer an efficient and scalable way to handle record deletion without requiring expensive file rewrites.

Compliance 64

Compliance Systems Review Policies Storage 64

CIO

FEBRUARY 14, 2023

While big data technologies like Hadoop were used to get large volumes of data into low-cost storage quickly, these efforts often lacked the appropriate data modeling, architecture, governance, and speed needed for real-time success. An enterprise data ecosystem architected to optimize data flowing in both directions.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

Cloudera

OCTOBER 13, 2020

CDP Data Hub: a VM/Instance-based service that allows IT and developers to build custom business applications for a diverse set of use cases with secure, self-service access to enterprise data. . Enrich – Data Engineering (Apache Spark and Apache Hive). Predict – Data Engineering (Apache Spark).

Cloud 97

Cloud Artificial Inteligence Machine Learning Data Engineering 97

Cloudera

FEBRUARY 11, 2019

The root cause is firmly entrenched in legacy systems and traditional data governance challenges that not only result in data silos but also the misguided belief that data privacy is diametrically opposed to effective exploration of information. Governing digital transformation. Governing for compliance.

Government 57

Government Compliance Machine Learning Artificial Inteligence 57

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. It’s a role that not only requires technical skills, but also leadership and communication skills as well to work across departments and to manage teams of engineers. increase from 2021.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

DataRobot

JUNE 1, 2022

Through a series of virtual keynotes, technical sessions, and educational resources, learn about innovations for the next decade of AI, helping you deliver projects that generate the most powerful business results while ensuring your AI solutions are enterprise ready—secure, governed, scalable, and trusted.

Virtualization 119

Virtualization Artificial Inteligence Machine Learning Artificial Intelligence 119

Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. A rare breed.

Data 112

Data Weak Development Team Data Engineering Enterprise 112

CIO

DECEMBER 11, 2023

Digital solutions to implement generative AI in healthcare EXL, a leading data analytics and digital solutions company , has developed an AI platform that combines foundational generative AI models with our expertise in data engineering, AI solutions, and proprietary data sets.

Generative AI 113

Generative AI Artificial Inteligence Healthcare Artificial Intelligence 113

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. With Airflow based pipelines in DE, customers can now specify their data pipeline using a simple python configuration file.

Data 115

Data Open Source Analytics Artificial Inteligence 115

Honeycomb

APRIL 23, 2025

There can be good reasons for governing devtool sprawl with a light touchdeveloper autonomy, experimentation, etc. Sure, its not that hard to spin up and benevolently ignore an ELK stack but if your reliability, scalability, or availability needs are world-class, thats not good enough. These are, after all, data problems.

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

CIO

JUNE 14, 2023

This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. Focus on scalability. First and foremost, you need to focus on the scalability of analytics capabilities, while also considering the economics, security, and governance implications.

Data 97

Data Scalability Storage Big Data 97

Xebia

JANUARY 30, 2025

In this blog post, we want to tell you about our recent effort to do metadata-driven data masking in a way that is scalable, consistent and reproducible. Using dbt to define and document data classifications and Databricks to enforce dynamic masking, we ensure that access is controlled automatically based on metadata.

Data 130

Data Groups Data Engineering Systems Review 130

Cloudera

FEBRUARY 22, 2022

This unprecedented level of big data workloads hasn’t come without its fair share of challenges. The data architecture layer is one such area where growing datasets have pushed the limits of scalability and performance. That is why from day one we ensured the same security and governance of SDX apply to Iceberg tables.

Data 110

Data Analytics Travel Disaster Recovery 110

Cloudera

JUNE 7, 2022

Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures.

Data 112

Data Architecture Analytics Big Data 112

Cloudera

JANUARY 19, 2022

Our position as a Visionary in the Gartner Magic Quadrant for Cloud DBMS market speaks to our product excellence and market-leading-vision of a hybrid, multifunction integrated platform with built-in security and governance. . Gartner evaluated 20 vendors in the Magic Quadrant for Cloud DBMS and the associated Critical Capabilities report.

Report 90

Report Cloud Technical Advisors Analytics 90

Cloudera

FEBRUARY 16, 2021

In the following sections, we see how the Cloudera Operational Database is integrated with other services within CDP that provide unified governance and security, data ingest capabilities, and expand compatibility with Cloudera Runtime components to cater to your specific use cases. . Integrated across the Enterprise Data Lifecycle .

Artificial Inteligence 83

Artificial Inteligence Machine Learning Data Engineering Policies 83

Cloudera

AUGUST 3, 2022

Customers will now get the same consistent view of their data with the analytic processing engine of their choice without any compromises. . Within CDP, Shared Data Experience (SDX) provides centralized governance, security, cataloging, and lineage. Fine grained access control (FGAC) with Spark. Starting with CDP 7.1.7

Policies 90

Policies Artificial Inteligence Machine Learning Data Engineering 90

d2iq

MARCH 31, 2022

However, many organizations struggle moving from a prototype on a single machine to a scalable, production-grade deployment. This leads to significant wait times for data science teams, as they, or other teams, define, build, and maintain complex environments.

Artificial Inteligence 69

Artificial Inteligence Machine Learning How To Artificial Intelligence 69

CIO

MAY 11, 2023

With a portfolio spanning skill games (RummyCircle), fantasy sports (My11Circle), and casual games (U Games), the company banks firmly on technology to build a highly scalable gaming infrastructure that serves more than 100 million registered users across platforms. Depending on the use cases, we are using two platforms for data management.

Games 103

Games Artificial Inteligence Data Artificial Intelligence 103