TechCrunch

OCTOBER 7, 2021

If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. EveryDeveloper focuses on content, which I believe is the most scalable way to reach developers. Blog articles are certainly core, but you want to make sure you’re covering the right topics in the right way.

Weak Development Team 231

Weak Development Team Software Development Marketing Technical Advisors 231

Cloudera

MAY 13, 2021

We offer many of the popular open source engines used today, and that’s because we know the specific demands of your particular use case will always dictate which engine is the most optimal. And as your needs change, you need the flexibility to change engines. Another consideration is the scalability of an engine.

Engineering 101

Engineering Comparison Open Source Scalability 101

Palo Alto Networks

AUGUST 23, 2021

Cortex XDR’s Third-Party Data Engine Now Delivers the Ability to Ingest, Normalize, Correlate, Query and Analyze Data from Virtually Any Source. offers new functionality for users to: Ingest and normalize any data source, including databases, files, FTP, CSV, Syslog, Windows Event Collection (WEC) and more.

Cloud 92

Cloud Machine Learning Artificial Inteligence Analytics 92

Xebia

MARCH 10, 2021

In essence, this means the organisation wants to make better business decisions based on insights provided by data [4]. Data itself is not able to advise a business for better decision-making. Therefore these organisations introduce a new capability: Data & Analytics. Data & Analytics adopting DevOps principles.

DevOps 130

DevOps Data Analytics Policies 130

Kentik

APRIL 3, 2018

In our last blog post, At The Turning Point: FinServ Data Networks , we discussed the challenges faced by financial services organizations when it comes to managing modern networks. Networking teams no longer need to be limited by unresponsive tools, aggregated stats, and data deadends. Is It The Network?

Network 40

Network WAN LAN Policies 40

Confluent

JUNE 18, 2019

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. For this reason and others as well, many projects start using their database for everything, and over time they might move to a search engine like Elasticsearch or Solr. You might be wondering, is this a good solution?

Scalability 96

Scalability Architecture Machine Learning Artificial Inteligence 96

AWS Machine Learning - AI

JANUARY 26, 2024

Plan for rollback and recovery from production security events and service disruptions such as prompt injection, training data poisoning, model denial of service, and model theft early on, and define the mitigations you will use as you define application requirements.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

Cloudera

OCTOBER 1, 2022

From a recent Cloudera roundtable event. As countries introduce privacy laws, similar to the European Union’s General Data Protection Regulation (GDPR), the way organizations obtain, store, and use data will be under increasing legal scrutiny. – From a recent Cloudera roundtable event. Deliver use cases to market.

Government 72

Government Artificial Inteligence Enterprise Strategy 72

Kentik

DECEMBER 21, 2015

Under the hood, Kentik Detect is powered by Kentik Data Engine (KDE), a high-availability, massively-scalable, multi-tenant distributed database. Max of maxes and sum of sums are easy; for harder cases like mean of means, we rely on a more complex data structure to pass needed information (e.g. Subquerying by time.

Resources 40

Resources Hardware System Microservices 40

Cloudera

NOVEMBER 19, 2020

Too often, though, legacy systems cannot deliver the needed speed and scalability to make these analytic defenses usable across disparate sources and systems. For many agencies, 80 percent of the work in support of anomaly detection and fraud prevention goes into routine tasks around data management.

Government 115

Government Artificial Inteligence Machine Learning Data 115

Perficient

APRIL 1, 2024

This data needs to be ingested on a real-time basis into the warehouse, for further usage by the data scientist & data analyst team. Terminologies Used Below are few terms used in the blog. Refer below screenshot for sample data. Blog intends to share few capabilities of Fabric for dealing real scenario.

Data 64

Data Azure Case Study Data Engineering 64

Cloudera

NOVEMBER 2, 2020

Having a live view of all aspects of their network lets them identify potentially faulty hardware in real time so they can avoid impact to customer call/data service. Ingest 100s of TB of network event data per day . Updates and deletes to ensure data correctness. Time Series and Event Analytics Specialized RTDW.

Data 91

Data Analytics Storage Big Data 91

Netflix Tech

DECEMBER 21, 2020

Some of the optimizations are prerequisites for a high-performance data warehouse. Sometimes Data Engineers write downstream ETLs on ingested data to optimize the data/metadata layouts to make other ETL processes cheaper and faster. Both automatic (event-driven) as well as manual (ad-hoc) optimization.

Storage 81

Storage Data Resources Data Engineering 81

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. This scenario involves three main characters — publishers, subscribers, and a message or event broker.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 94

Strategy Data Technical Review Weak Development Team 94

Cloudera

APRIL 15, 2021

In this blog we will cover the new features in the 7.1.6 release and the new in-place upgrade from HDP that completely does away with replacing infrastructure and data migrations. Data Engineering . Hive Warehouse Connector (HWC) makes data engineering simpler and faster. Data Warehouse.

Cloud 67

Cloud Data Engineering Resources Engineering 67

Netflix Tech

OCTOBER 18, 2022

As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company. Another dimension of scalability to consider is the size of the workflow.

Data 81

Data UI/UX Systems Review Software Review 81

Netflix Tech

NOVEMBER 20, 2023

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. In this blog post, we talk about the landscape and the challenges in workflows at Netflix. Users configure the workflow to read the data in a window (e.g. data arrives too late to be useful).

Windows 84

Windows Software Review Data Engineering 84

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Netflix Tech

MARCH 25, 2019

We adopted the following mission statement to guide our investments: “Provide a complete and accurate data lineage system enabling decision-makers to win moments of truth.” Nonetheless, Netflix data landscape (see below) is complex and many teams collaborate effectively for sharing the responsibility of our data system management.

Infrastructure 87

Infrastructure Data Technical Review Systems Review 87

Cloudera

DECEMBER 14, 2020

Apache NiFi empowers data engineers to orchestrate data collection, distribution, and transformation of streaming data with capacities of over 1 billion events per second. . Apache Kafka helps data administrators and streaming app developers to buffer high volumes of streaming data for high scalability.

Analytics 68

Analytics Big Data Government Cloud 68

Altexsoft

MAY 14, 2021

The best way to understand the idea behind Big Data analytics is to put it against regular data analytics. The analytics commonly takes place after a certain period of time or event. If you are an owner of an online shop, you may look at the data accumulated during a week and then analyze it. Traditional approach.

Big Data 78

Big Data Analytics Tools Applications 78

Cloudera

APRIL 9, 2021

ETL jobs and staging of data often often require large amounts of resources. ETL is a data engineering task and should be offloaded onto a scale-out and more cost effective solution. . Similarly, operational data stores take up resources on a data warehouse. Scalability. This has a number of implications.

Data 58

Data Software Review Technical Review Architecture 58

StubHub

SEPTEMBER 20, 2018

Data contains an infinite number of fascinating insights just waiting to be discovered. As a company, we have data from 48 countries for over 10 million live sports, music and theater events. To capture, analyze, and leverage all of this data is no small feat. Infinite capacity and scalability The data system?—?including

Data 40

Data Scalability Analytics Sport 40

Cloudera

MAY 3, 2021

Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability. Contrast this with the skills honed over decades for gaining access, building data warehouses, performing ETL, creating reports and/or applications using structured query language (SQL). A rare breed.

Scalability 100

Scalability Agile Data Systems Review 100

Cloudera

DECEMBER 12, 2018

Yet, there were some limitations in MPP at the time, because some of these systems running Hive were quite large, and the database community thought that instead of the future being Hive on MapReduce or something similar, that we could extend, bend, and change the MPP engines to actually operate in a more scalable manner on such large data.

Data 41

Data Marketing Storage Big Data 41

N2Growth Blog

JANUARY 10, 2017

Systems Engineer. Data Analyst. DEADS: Data Engineer and Data Scientist. Machine Learning Engineer. Even if we could, it wouldn’t be scalable, as we’d need to write a program for every type of boot and UPC we wanted to identify. This includes Big Data concepts such as Data Swamps.

Company 86

Company Artificial Inteligence Big Data Machine Learning 86

Capgemini

MARCH 31, 2024

A Brave New (Generative) World – The future of generative software engineering Keith Glendon 26 Mar 2024 Facebook Twitter Linkedin Disclaimer : This blog article explores potential futures in software engineering based on current advancements in generative AI.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52