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

FEBRUARY 7, 2022

Location data is absolutely critical to such strategies, enabling leading enterprises to not only mitigate challenges, but unlock previously unseen opportunities. Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

TechCrunch

JUNE 17, 2021

” The tool Airbnb built was Minerva , optimised specifically for the kinds of questions Airbnb might typically have for its own data. How to ensure data quality in the era of Big Data. We have moved away from “move fast and break things.” ” Image Credits: Transform (opens in a new window).

Metrics 247

Metrics Tools Data Big Data 247

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Cloudera

AUGUST 20, 2021

How CDP Enables and Accelerates Data Product Ecosystems. A multi-purpose platform focused on diverse value propositions for data products. That audit mechanism enables Information Security teams to monitor changes from all user interactions with data assets stored in the cloud or the data center from a centralized user interface.

Strategy 98

Strategy Data Technical Review Weak Development Team 98

CIO

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description. Data scientist skills.

Analytics 205

Analytics Data Technical Review Analysis 205

CTOvision

MARCH 5, 2014

By Bob Gourley L-3 Acquires Data Tactics Corporation – Adds New Big Data Analytics and Cloud Solutions Capabilities. NEW YORK, Mar 05, 2014 (BUSINESS WIRE) — L-3 Communications announced effective today that it has acquired Data Tactics Corporation. Its highly tailored solutions are used by the U.S.

Analytics 104

Analytics Big Data Data Engineering Analysis 104

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

CIO

DECEMBER 6, 2023

When taking this to the next level, vendor partners act as co-innovators, helping businesses craft winning strategies based on innovation. As a result, companies are more likely to look for tech partners that excel in IT services while being able to join hands to drive innovative strategies and future technologies.

Airlines 174

Airlines Innovation Automotive Resources 174

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

Open Source 117

Open Source Artificial Inteligence Machine Learning Big Data 117

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Open Source 59

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. User data collection is data about a user who is collected for market research purposes.

Big Data 52

Big Data Data Development Business Intelligence 52

CTOvision

MARCH 1, 2016

This week, Hortonworks announced a comprehensive strategy with new product advancements across its Connected Data Platforms, including Hortonworks Data Platform (HDP™), and Hortonworks DataFlow (HDF™). Hortonworks Data Platform 2.4 – A New Distribution Strategy. Katie Kennedy. Apache Ambari 2.2 and SmartSense™ 1.2

Analytics 61

Analytics Strategy Big Data Data Engineering 61

CIO

AUGUST 18, 2022

Enter the data lakehouse. Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

CIO

DECEMBER 16, 2022

The top-earning skills were big data analytics and Ethereum, with a pay premium of 20% of base salary, both up 5.3% Other non-certified skills attracting a pay premium of 19% included data engineering , the Zachman Framework , Azure Key Vault and site reliability engineering (SRE). in the previous six months.

Technical Review 148

Technical Review Analytics SCRUM AWS 148

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

Battery Ventures

OCTOBER 7, 2020

The report, delivered during our (now virtual) OpenCloud industry conference, offers an additional layer of strategic and tactical advice for entrepreneurs building cloud-first companies in areas including product; go-to-market strategy; and development. We have outlined some of these in our previous Cloud Native Entrepreneur’s Playbook.

Open Source 144

Open Source Cloud Google Cloud Azure 144

Perficient

MARCH 28, 2025

Predictive optimization cannot currently address data skew, select the best join strategy (although Photon can), optimize merge operations, or optimize most streaming operations. Suboptimal Join Strategies Mistake: Using expensive join techniques without optimization, especially with large datasets or streaming data.

How To 52

How To Strategy Performance Data 52

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

CTOvision

JULY 13, 2015

Cognitio is a strategic consulting and engineering firm with a track record of helping clients address their hardest challenges. Exemplars of key positions/experiences we are looking for include: Data Scientist. Systems Engineer. Data Engineer. Systems Engineer. Systems Architect.

Systems Review 109

Systems Review Technical Review Fractional CTO Data Engineering 109

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. Where data flows, ideas follow. Today, we are leading the way in hybrid data.

Data 112

Data Architecture Analytics Big Data 112

CIO

SEPTEMBER 2, 2022

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Gartner reported that a data scientist in Washington, D.C., Hiring tips and strategies.

Data 148

Data Artificial Inteligence Machine Learning Training 148

CIO

SEPTEMBER 1, 2022

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Gartner reported that a data scientist in Washington, D.C., Hiring tips and strategies.

Data 148

Data Artificial Inteligence Machine Learning Training 148

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Strategy Driven

AUGUST 27, 2015

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

Big Data 33

Big Data Data Storage Journal 33

Perficient

MARCH 27, 2025

Data privacy regulations such as GDPR , HIPAA , and CCPA impose strict requirements on organizations handling personally identifiable information (PII) and protected health information (PHI). Ensuring compliant data deletion is a critical challenge for data engineering teams, especially in industries like healthcare, finance, and government.

Compliance 52

Compliance Systems Review Policies Storage 52

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

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. APACHE OZONE DENSE DEPLOYMENT CONFIGURATION.

Data 101

Data Storage Architecture Big Data 101

Altexsoft

MARCH 18, 2021

As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. Basically, ELT inverts the last two stages of the ETL process, meaning that after being extracted from databases data is loaded straight into a central repository where all transformations occur. Data size and type.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Data 110

Data Analytics Travel Disaster Recovery 110

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics.

Innovation 83

Innovation Data Artificial Inteligence Machine Learning 83

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

O'Reilly Media - Ideas

JUNE 4, 2019

Understanding Business Strategy , August 14. Data science and data tools. Business Data Analytics Using Python , June 25. Debugging Data Science , June 26. Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15.

Course 94

Course Training Artificial Inteligence Software Review 94

Cloudera

NOVEMBER 19, 2020

Cloudera Data Platform (CDP) is a solution that integrates open-source tools with security and cloud compatibility. Analyzing historical data is an important strategy for anomaly detection. The modeling process begins with data collection. These feeds are then enriched using external data sources (e.g.,

Government 119

Government Artificial Inteligence Data Machine Learning 119

Mobilunity

MARCH 19, 2025

Offshore Python development is an effective strategy for addressing high project costs. Developers gather and preprocess data to build and train algorithms with libraries like Keras, TensorFlow, and PyTorch. Data engineering. They efficiently extract and manipulate data to process and analyze large datasets.

Trends 40

Trends Technical Review Development Software Review 40

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. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Machine Learning Data Center 86

Dzone - DevOps

DECEMBER 27, 2023

Welcome to the first post in our exciting series on mastering offline data pipeline's best practices, focusing on the potent combination of Apache Airflow and data processing engines like Hive and Spark. Working together, they form the backbone of many modern data engineering solutions.

Data 45

Data Data Engineering Big Data AWS 45