Cloudera

JUNE 10, 2021

Apache Spark is a very popular analytics engine used for large-scale data processing. It is widely used for many big data applications and use cases. We are going to use an Operational Database COD instance and Apache Spark present in the Cloudera Data Engineering experience. . Cloudera Data Engineering.

How To 89

How To Data Engineering Virtualization Resources 89

Cloudera

OCTOBER 13, 2020

Data Hub – has expanded to support all stages of the data lifecycle: Collect – Flow Management (Apache NiFi), Streams Management (Apache Kafka) and Streaming Analytics (Apache Flink). Enrich – Data Engineering (Apache Spark and Apache Hive). Predict – Data Engineering (Apache Spark).

Cloud 94

Cloud Machine Learning Artificial Inteligence Azure 94

Apiumhub

JUNE 22, 2021

We are super excited to participate in the biggest and the most influential Data, AI and Advanced Analytics event in the Nordics! Data Innovation Summit ! There our Gema Parreño – Data Science expert at Apiumhub gives a talk about Alignment of Language Agents for serious video games.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

Cloudera

APRIL 9, 2021

The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. And this blog will focus on Predictive Analytics. Data Collection – streaming data. Data Enrichment – data engineering. Additional Resources.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Altexsoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Hu's Place - HitachiVantara

MAY 10, 2019

Rules based systems become unwieldy as more exceptions and changes are added and are overwhelmed by today’s sheer volume and variety of new data sources. For this reason, many financial institutions are converting their fraud detection systems to machine learning and advanced analytics and letting the data detect fraudulent activity.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

Cloud 86

Cloud Analytics AWS Engineering 86

Cloudera

MARCH 17, 2023

The one key component that is missing is a common, shared table format, that can be used by all analytic services accessing the lakehouse data. Data services, including cloud native data warehouse called CDW, data engineering service called CDE, data streaming service called data in motion, and machine learning service called CML.

ChatGPT 62

ChatGPT Education Data Comparison 62

Xebia

JANUARY 9, 2024

It is also a good starting point for debugging data quality issues, because it offers an easy way to copy the actual compiled SQL that was executed for a given test. packages: - package: elementary-data/elementary version: 0.13.1 In case you do not have a packages.yml file yet, you can create one in the root of your dbt project.

Testing 130

Testing Data Open Source Google Cloud 130

Xebia

JULY 28, 2023

I’ll keep the sizes as small as possible, since it is only for demo purposes. It provides a collaborative environment for teams to work together, accelerating the development and deployment of data-driven solutions. First, click on SQL Warehouses on the left bar, then Create SQL warehouse button. This will open a new window.

Cloud 130

Cloud Azure How To Windows 130

Kentik

JANUARY 26, 2016

So we’ve called this new feature Peering Analytics, because it will primarily be used to determine who to peer (interconnect) with. But as you’ll see, Peering Analytics — which launched in November 2015 and has now emerged from Beta into a full v1 release — has use cases far beyond peering. Using Peering Analytics.

Analytics 40

Analytics Analysis Network Data 40

Palo Alto Networks

AUGUST 23, 2021

We wanted to provide a modern cloud-based platform leveraging the latest in machine learning, analytics and automation to fight the many cyber attacks businesses face every day. The new platform also integrates a rich set of identity data sources and built-in analytics to address a variety of identity-based threats. .

Cloud 92

Cloud Machine Learning Artificial Inteligence Analytics 92

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Data Catalog profilers have been run on existing databases in the Data Lake.

Data 97

Data Virtualization Banking Data Engineering 97

Erik Bernhardsson

DECEMBER 6, 2022

We've been focusing a lot on machine learning recently, in particular model inference — Stable Diffusion is obviously the coolest thing right now, but we also support a wide range of other things: Using OpenAI's Whisper model for transcription , Dreambooth , object detection (with a webcam demo!). I will be posting a lot more about it!

CTO Coach 242

CTO Coach Fractional CTO Software Engineering Serverless 242

Cloudera

JULY 14, 2023

While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

Backup 69

Backup Data Engineering Engineering Data 69

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 106

Data Artificial Inteligence Analytics Machine Learning 106

Cloudera

JULY 13, 2023

Iceberg is an emerging open-table format designed for large analytic workloads. Several compute engines such as Impala, Hive, Spark, and Trino have supported querying data in Iceberg table format by adopting this Java Library provided by the Apache Iceberg project. It includes a live demo recording of Iceberg capabilities.

Weak Development Team 70

Weak Development Team Engineering Analytics Storage 70

Cloudera

FEBRUARY 17, 2021

Embracing the hybrid cloud model – We delivered all the key tenets of CDF on Cloudera Data Platform (CDP) Data Hub as well – Flow Management for Data Hub, Streams Messaging for Data Hub, and Streaming Analytics for Data Hub. If you are interested, you can watch it on-demand as well.

Part-Time VPE 59

Part-Time VPE Analytics eBook Leadership 59

Cloudera

AUGUST 31, 2021

Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Copyright © 2021 Accenture. All rights reserved. Conclusion.

Data 81

Data Analytics Cloud Technical Review 81

TIBCO - Connected Intelligence

OCTOBER 11, 2021

The page features joint solution briefs, solution demos, and sales enablement templates. According to Ramakrishna Peddiraj, Vice President and Head of Data Engineering and Analytics at iSteer, “This partnership is a great opportunity to create value-based solutions for customers. The Solution in Action.

IoT 49

IoT Wireless Healthcare Technical Review 49

Altexsoft

SEPTEMBER 10, 2021

The pace of data being created is mind-blowing. For example, Amazon receives more than 66,000 orders per hour with each order containing valuable pieces of information for analytics. Yet, dealing with continuously growing volumes of data isn’t the only challenge businesses encounter on the way to better, faster decision-making.

Tools 52

Tools Data Software Review Technical Review 52

Kentik

JULY 31, 2017

Kentik’s Advanced Analytics Turns Routes into Insights. That’s why network engineers have long used the BGP routing table on routers or looking glasses to get an idea of how their Internet traffic is routed. This is the premise behind the Analytics features in Kentik Detect, Peering Analytics and Route Traffic Analytics.

Analytics 40

Analytics Knowledge Base Internet Network 40

O'Reilly Media - Ideas

MARCH 31, 2020

Many consumer internet companies invest heavily in analytics infrastructure, instrumenting their online product experience to measure and improve user retention. It turns out that type of data infrastructure is also the foundation needed for building AI products. If you can’t walk, you’re unlikely to run. AI doesn’t fit that model.

Product Management 139

Product Management Artificial Inteligence Machine Learning Software Review 139

Kentik

MAY 23, 2017

Imagine a big data time-series datastore that unifies traffic flow records (NetFlow, sFlow, IPFIX) with related data such as BGP routing, GeoIP, network performance, and DNS logs, that retains unsummarized data for months, and that has the compute and storage power to answer ad hoc queries across billions of data points in a couple of seconds.

Network 40

Network Open Source Big Data Load Balancer 40

Kentik

JANUARY 3, 2018

Key IoT Analytics Requirements. Network-based analytics is critical to managing IoT infrastructure. Network analytics has the power to examine details of the IoT communications patterns made through various protocols and correlate these to data paths traversed throughout the network.

IoT 40

IoT Network Tools Big Data 40

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

TIBCO - Connected Intelligence

DECEMBER 20, 2021

TIBCO DQ will become the new data quality product family, through an evolution of our current data quality offerings, significantly enhancing current capabilities available throughout the TIBCO data fabric with built-in AI and ML to automate quality, detection, monitoring, and anomaly resolution.

Innovation 26

Innovation Analytics Virtualization Cloud 26

Kentik

JULY 19, 2017

Service providers of all stripes can benefit from big data-powered network insights in similar ways as KDDI, both in planning as well as operational realms. If you’d like to learn more, check out our products , read our Kentik Data Engine (KDE) white paper, and dig into why NFV needs advanced analytics.

Network 40

Network .Net Data Center Big Data 40

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

OCTOBER 8, 2021

But here’s the thing, even though you receive all customer data you need, it exists in a bunch of disjointed sources such as CRMs, customer-facing apps, websites, and others. With data integration, you have all information available in a single interface resulting in more efficient, faster querying and analytics. Suitable for.

Tools 52

Tools Data Software Review Open Source 52

Kentik

JUNE 26, 2017

They decided that what they needed was to be able to collect, store, and analyze network flow data like NetFlow, sFlow, and IPFIX. So they all set out to build their own flow analytics system, each one based on a different database. Or step inside today for your own look around: request a demo or start a free trial.

Big Data 40

Big Data Architecture Storage Analytics 40

Kentik

DECEMBER 18, 2017

That’s how much flow data is ingested by Kentik Data Engine (KDE), the distributed big data backend that powers Kentik Detect®. It’s also just one of the many interesting statistics that we run across as we operate our SaaS platform for network traffic analytics. Roughly 100 billion flow records each and every day.

IPv6 40

IPv6 Internet Big Data Network 40

Kentik

MAY 23, 2016

Applying Network Analytics. A traffic analytics system that correlates flow with BGP can reveal the best opportunities for peering. are correlated with BGP routing data in a datastore that’s optimized for traffic analytics it’s relatively easy to discover the best peering opportunities for your network.

Big Data 40

Big Data Analytics Internet Network 40

Kentik

DECEMBER 15, 2016

Needless to say, this call-out by analysts Nolan Greene and Rohit Mehra reflects well on what we’ve been doing to advance the state of the art in areas such as DDoS protection, infrastructure visibility, performance monitoring, and peering analytics. Sign up today for a free trial , or contact us for a demo. Why Kentik?

UI/UX 40

UI/UX Innovation Big Data Network 40

Kentik

MAY 9, 2017

Without the visibility and analytics provided by tracking data, there would be no way to know, nor any way to leverage that data to improve delivery times, reduce cost, or allocate load across the paths and system components that serve various customers. Learn More With a Demo or Free Trial.

Internet 40

Internet Analysis Network Analytics 40

Altexsoft

MARCH 2, 2023

Its goal is to define and control all data governance initiatives. The highest effectiveness of the Data Governance Committee is achieved when subject matter experts (e.g., data engineers , data security managers) are combined with system managers (e.g., Cloud Data Governance and Catalog dashboard from the demo.

Government 52

Government Tools Data Weak Development Team 52