Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. However, they often forget about the fundamental work – data literacy, collection, and infrastructure – that must be done prior to building intelligent data products.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

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. We are paving the path for our enterprise customers that are adapting to the critical shifts in technology and expectations.

Data Engineering 113

Data Engineering Engineering Data Storage 113

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. Securing and scaling storage.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

Cloudera

DECEMBER 2, 2024

Lakehouse Optimizer : Cloudera introduced a service that automatically optimizes Iceberg tables for high-performance queries and reduced storage utilization. The net result is that queries are more efficient and run for shorter durations, while storage costs and energy consumption are reduced. Give it a try today.

Sustainability 89

Sustainability AWS Analytics Infrastructure 89

The Crazy Programmer

NOVEMBER 6, 2021

IT or Information technology is the industry that has registered continuous growth. The Indian information Technology has attained about $194B in 2021 and has a 7% share in GDP growth. Because startups like Zerodha, Ola, and Rupay to large organizations like Infosys, HCL Technologies Ltd, all will grow at a mass scale.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

O'Reilly Media - Ideas

APRIL 9, 2019

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. Data engineering is not in the limelight.

Data Engineering 112

Data Engineering Engineering Data Technical Review 112

CIO

OCTOBER 9, 2024

As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls. Yet, it is the quality of the data that will determine how efficient and valuable GenAI initiatives will be for organizations.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Artificial Inteligence 98

Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 104

Data Engineering Engineering Data Tools 104

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

Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 72

Data Engineering Engineering Data Software Engineering 72

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

O'Reilly Media - Data

AUGUST 16, 2018

Today’s data science and data engineering teams work with a variety of machine learning libraries, data ingestion, and data storage technologies. And as data science and data engineering teams continue to expand, tools need to enable and facilitate collaboration.

Artificial Inteligence 150

Artificial Inteligence Machine Learning Data Engineering Storage 150

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Engineering 95

Data Engineering Engineering Data Cloud 95

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. This greatly increases data processing capabilities.

Big Data 75

Big Data Data Engineering Engineering Data 75

Altexsoft

APRIL 22, 2020

Processing data systematically requires a dedicated ecosystem called data pipeline : a set of technologies that form a specific environment where data is obtained, stored, processed, and queried. So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms.

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

Honeycomb

APRIL 23, 2025

download Model-specific cost drivers: the pillars model vs consolidated storage model (observability 2.0) All of the observability companies founded post-2020 have been built using a very different approach: a single consolidated storage engine, backed by a columnar store. and observability 2.0. understandably). moving forward.

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

O'Reilly Media - Data

APRIL 3, 2018

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Artificial Inteligence 239

Artificial Inteligence Machine Learning Company Case Study 239

Altexsoft

DECEMBER 9, 2020

Moreover, the MicroStrategy Global Analytics Study reports that access to data is extremely limited, taking 60 percent of employees hours or even days to get the information they need. Different technologies and methods are used and different specialists are involved. Often, no technologies are involved in data analysis.

Analytics 102

Analytics Technical Review Technology Applications 102

CIO

FEBRUARY 13, 2023

The economy may be looking uncertain, but technology continues to drive the business and CIOs are investing big in 2023. At the same time, they are defunding technologies that no longer contribute to business strategy or growth. This technology will help our customers get started quicker and will also allow us to reach more people.”

Budget 218

Budget Artificial Inteligence Technical Review VR 218

AWS Machine Learning - AI

APRIL 23, 2025

The integration of modern natural language processing (NLP) and LLM technologies enhances metadata accuracy, enabling more precise search functionality and streamlined document management. Multiple specialized Amazon Simple Storage Service Buckets (Amazon S3 Bucket) store different types of outputs.

Artificial Inteligence 67

Artificial Inteligence Open Source AWS Serverless 67

Hu's Place - HitachiVantara

JANUARY 15, 2019

This new company will unify the operations of these three companies into a single integrated business as Hitachi Vantara to capitalize on Hitachi’s social innovation capability in both operational technologies (OT) and information technologies (IT). A REST API is built directly into our VSP storage controllers.

Systems Review 72

Systems Review Storage System Software Review 72

TechCrunch

SEPTEMBER 15, 2021

The problem is that this data is often sitting across a lot of different places — typically large organizations might have over 1,000 data sources, apps sitting across multiple clouds and servers and storage across Snowflake, Amazon Redshift and Databricks.

Artificial Inteligence 234

Artificial Inteligence Data Weak Development Team Artificial Intelligence 234

Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. Image 1: Data Engineering Skillsets.

Data Engineering 54

Data Engineering Big Data Engineering Data 54

Erik Bernhardsson

DECEMBER 15, 2020

Decades ago, software engineering was hard because you had to build everything from scratch and solve all these foundational problems. You need storage to build something to serve 1M concurrent users? But the fact that non-engineers are building technology validates that there's demand for engineers.

Software Engineering 325

Software Engineering Engineering Tools Software 325

CIO

SEPTEMBER 2, 2022

New technologies, such as cryptocurrency and digital banking, have the potential to bridge opportunity gaps in financial services that have existed for decades. But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

New technologies, such as cryptocurrency and digital banking, have the potential to bridge opportunity gaps in financial services that have existed for decades. But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

AWS Machine Learning - AI

MARCH 13, 2025

When customers receive incoming calls at their call centers, MaestroQA employs its proprietary transcription technology, built by enhancing open source transcription models, to transcribe the conversations. The customer interaction transcripts are stored in an Amazon Simple Storage Service (Amazon S3) bucket.

Generative AI 113

Generative AI CTO Coach AWS Artificial Inteligence 113

Gorilla Logic

APRIL 27, 2022

Are you a data engineer or seeking to become one? This is the first entry of a series of articles about skills you’ll need in your everyday life as a data engineer. Data cleansing and enrichment processes need to combine, filter, aggregate, and select different sets to answer questions we have.

Data Engineering 59

Data Engineering Engineering Data Windows 59

CIO

JULY 15, 2022

The forecasting systems DTN had acquired were developed by different companies, on different technology stacks, with different storage, alerting systems, and visualization layers. Working with his new colleagues, he quickly identified rebuilding those five systems around a single forecast engine as a top priority.

Systems Review 167

Systems Review Fractional CTO System Development Team Review 167

CIO

JUNE 22, 2023

Technology has quickly become a top priority for businesses across every industry. 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. Average salary: US$131,995 Increase since 2021: 0% 2.

Industry 183

Industry UI/UX Telecommunications Quality Assurance 183

TechCrunch

MAY 18, 2022

Liubimov was a senior engineer at Huawei before moving to Yandex, where he worked as a backend developer on speech technologies and dialogue systems. When asked, Heartex says that it doesn’t collect any customer data and open sources the core of its labeling platform for inspection. Heartex’s dashboard.

Open Source 203

Open Source Weak Development Team Data Artificial Inteligence 203

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

Mobilunity

AUGUST 3, 2021

While Big Data has come far, its use is still growing and being explored. Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

AWS Machine Learning - AI

NOVEMBER 15, 2024

The first data source connected was an Amazon Simple Storage Service (Amazon S3) bucket, where a 100-page RFP manual was uploaded for natural language querying by users. The data source allowed accurate results to be returned based on indexed content. Joel Elscott is a Senior Data Engineer on the Principal AI Enablement team.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

CIO

JUNE 19, 2024

In some cases teams may also include site reliability engineers, scrum masters, UI/UX designers, and analysts who assess performance data to identify bottlenecks. AI is 100% disrupting platform engineering,” Srivastava says, so it’s important to have the skills in place to exploit that. “As

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208