Cloudera

DECEMBER 21, 2020

Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. He seeks to quickly discover and learn about available data sets.

Data 97

Data Virtualization Banking Data Engineering 97

Kentik

FEBRUARY 27, 2023

The need for speed The Kentik Data Explorer is Kentik’s interface between you as an engineer, whether that’s network, systems, cloud, security, or SRE, and the database of information you’ve collected with the Kentik platform. But the real key here is that the Kentik Data Explorer was purpose-built for querying a massive database.

Network 98

Network Data WAN Metrics 98

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

Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

JUNE 15, 2021

Next we’ll define our cluster: clusters: - name: Data Engineering Cluster. services: [ATLAS, DAS, HBASE, HDFS, HIVE, HIVE_ON_TEZ, HUE, IMPALA, INFRA_SOLR, KAFKA, OOZIE, RANGER, QUEUEMANAGER, SOLR, SPARK_ON_YARN, TEZ, YARN, ZOOKEEPER]. Running the playbook. Specify additional variables to the runtime (e.g. ask-pass. <no

Cloud 83

Cloud AWS Azure Linux 83

UruIT

JUNE 8, 2019

Leverage data to create UX-enhancing models . Transform a system’s UX by automatically tagging uploaded images and videos. Automate the content tagging process. Data Collection and Preparation. Our data engineers access the client’s data in order to prepare, clean up and transform it towards the project’s goals.

Machine Learning 40

Machine Learning Artificial Inteligence Systems Review Software Review 40

Altexsoft

SEPTEMBER 9, 2022

The metadata of web pages often comes in the form of meta tags (e.g., These are important for SEO purposes because search engines use them to “understand” what the page is about and how it has to be displayed and ranked in search results. Metadata discovery and capture refers to extracting metadata across your data assets.

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

AUGUST 25, 2021

Information from an invoice is extracted, tagged, and structured. For example, tokenization (splitting text data into words) and part-of-speech tagging (labeling nouns, verbs, etc.) Tokenization, part-of-speech tagging, and parsing (describing the syntactic structure of a sentence) are some forms of annotations.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

Cloudera

SEPTEMBER 17, 2018

Here are some highlights: Data Ingest. Most data is ingested through data engineering pipelines. Once you found your datasets of interest, there are easy ways to tag them, so that you at next visit can find them immediately – the search functionality also covers tags! Query Design.

Data 53

Data Development Data Engineering Engineering 53

Kentik

MAY 16, 2016

Using the Data Explorer API for Added-value Content. Kentik Detect™ is a powerful solution that ingests and stores large volumes of network data on a per device, per customer basis. The data is stored in the Kentik Data Engine™, a timeseries database that unifies flow records (NetFlow v5/9, IPFIX, sFlow) with BGP, Geo-IP, and SNMP.

PHP 40

PHP Metrics Network Data 40

Apps Associates

JULY 28, 2022

Create a Virtual Cloud Network in Oracle Cloud Infrastructure: You will need a Virtual Cloud Network (VCN) to use OCI Data Integration. In this blog, you have seen that you can successfully setup an OCI Data Integration workspace in Oracle Cloud Infrastructure. Compartment-name: The OCI Compartment you are using.

Infrastructure 52

Infrastructure Cloud Data Linux 52

Cloudera

JANUARY 20, 2021

Data collection will be illustrated using Cloudera’s Data Flow experience (powered by Apache NiFi) to retrieve this raw data and to split it into individual factory streams (managed by Apache Kafka) to more accurately resemble a real-world scenario (see Fig 2). Fig 2: Data collection flow diagram. Factory ID. Machine ID.

Data 106

Data Artificial Inteligence Analytics Machine Learning 106

Cloudera

NOVEMBER 12, 2020

First, they use WXM to create a custom workload view for each critical LoB user who can be tagged as a perpetual VIP (VIP workloads that run routinely). At these times, they run business growth reports, shareholder reports, and financial reports for their earnings calls, to name a few examples.

Data Center 102

Data Center Cloud Data Policies 102

Kentik

JULY 31, 2017

To use this powerful feature you must be running BGP between at least one device in your network and the Kentik Data Engine (KDE). You will also want to have 3-4 days worth of flow data stored in the Kentik Data Engine (KDE) for Peering Analytics to return useful information.

Analytics 40

Analytics Knowledge Base Internet Network 40

Xebia

FEBRUARY 25, 2024

Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. You could argue the same about the data engineering step (2) , although this differs per company.

Applications 130

Applications Technical Review Software Review Azure 130

Cloudera

OCTOBER 18, 2022

This enabled us to ingest data faster, more reliably, and in deeper detail, while saving on licenses. The solution was prototyped in Cloudera Data Science Workbench (CDSW) , and is built using Python and PySpark, which is scheduled using Cloudera Data Engineering.

Cloud 86

Cloud Analytics AWS Engineering 86

Kentik

APRIL 11, 2016

And since the queries operate directly on the source data, there is no data availability lag; the most recently appended data is available for every query. For more on how we make it work, see Inside the Kentik Data Engine.).

Big Data 40

Big Data Analytics Network Architecture 40

Cloudera

NOVEMBER 19, 2020

These feeds are then enriched using external data sources (e.g., telemetry events, asset information, and GeoIP) and cleansed, organized, and prepared for machine learning using Cloudera Data Engineering. These scores enable a concept called threshold-based anomaly tagging.

Government 116

Government Artificial Inteligence Machine Learning Data 116

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Analysts and engineers predominate.

Weak Development Team 127

Weak Development Team Data Technical Review Survey 127

Altexsoft

AUGUST 19, 2022

If you deal with streaming data, you can set up real-time monitoring via Power BI dashboards. Power BI allows you to take advantage of ML techniques to perform sentiment analysis, generate forecasts, detect languages, tag images, and much more. ML capabilities. Certification. Third-party education.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Cloudera

SEPTEMBER 28, 2021

In the next sections, we’ll walk through a simple data access scenario both without and with RAZ for two separate teams — the data scientists and the data engineers. Let’s say that both Jon and Remi belong to the Data Engineering group. Without RAZ: Group-based access control with IDBroker.

Groups 62

Groups Cloud AWS Data 62

Altexsoft

JUNE 6, 2019

ANNs analyze images uploaded by users and generate image descriptions (tags), for instance, type of clothes, fabric, color. Image descriptions are compared to a list of items that stores provide together with their corresponding tags. Image recognition is one of the tasks neural networks perform well.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

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

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Architecture 99

Architecture Innovation Data Machine Learning 99

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

Cloudera

AUGUST 24, 2022

It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. Input the name of your image, along with repo location and tags. Go to your CML workspace and in the left menu click on Runtime Catalog .

Machine Learning 80

Machine Learning Artificial Inteligence Open Source Windows 80

Netflix Tech

DECEMBER 3, 2022

Below is an example of plugging that metadata step in the main workflow definition - job: id: metadata type: Metadata metacat: tables: - ${CATALOG}/${TARGET_DB}/${TARGET_TABLE} owner: ${username} tags: - dataflow - sample lifetime: 123 column_types: date: pk country_code: pk rank: pk Transformation The transformation step (or steps) can be executed (..)

Data 143

Data Technical Review Software Review Testing 143

Kentik

MARCH 7, 2023

Extract, transform, and load (ETL) systems are used to modify the data received and coordinate it with other data streams. Often this is the first tier of “enriching the data,” where correlations between network details like IP addresses, DNS names, application stack tags, and deployment versions can be made.

Network 99

Network Cloud Data Case Study 99

Kentik

JUNE 4, 2019

By correlating an ever-wider set of traffic data into a single, instantly-queryable dataset (the Kentik Data Engine, aka KDE), we’re able to generate technical and business insights with direct, powerful relevance to your network operations. How True Origin Works. OTT Service Provider: An entity that offers a service.

Video 56

Video Network Internet Groups 56

Confluent

FEBRUARY 22, 2019

Our quickly expanding business also means our platform needs to keep ahead of the curve to accommodate the ever-growing volumes of data and increasing complexity of our systems. The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices.

Data 80

Data Software Review Weak Development Team Systems Review 80

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

DECEMBER 14, 2022

On top of that, the documentation comes with a search bar and tags so that users can find the needed answer more quickly. If you are a programmer, a DevOps , a data engineer , or any other specialist who wants to use Docker in projects, you should have a clear roadmap of how to get started with this technology. Docker on GitHub.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Kentik

OCTOBER 2, 2015

Kentik Detect customers use alerts to monitor various metrics in the data that is ingested into the Kentik Data Engine (KDE), including information on devices, interfaces, IP/CIDR, Geo, ASN, and ports. In the Kentik Detect portal, go to Admin » Tags and confirm that a MYNETWORK tag is listed.

PHP 40

PHP Groups Examples Testing 40

Kentik

DECEMBER 2, 2015

Kentik Detect uses SQL as the query language, but the underlying data is stored in the Kentik Data Engine (KDE), a custom, distributed, column-store database. Look only at traffic where the destination IP is inside our own network, as determined by it being tagged with a MYNETWORK tag. GROUP BY ipv4_dst_addr.

Windows 40

Windows Network .Net Groups 40

Altexsoft

JUNE 26, 2023

Both data integration and ingestion require building data pipelines — series of automated operations to move data from one system to another. For this task, you need a dedicated specialist — a data engineer or ETL developer. Data engineering explained in 14 minutes.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

CIO

FEBRUARY 26, 2024

Learning about NLP fundamentals such as tokenization, part-of-speech tagging, named entity recognition can round out developers’ education. Data engineers Data engineers can supercharge their careers by becoming conversant in genAI systems. The path forward for upskilling staff will vary by organization.

Generative AI 278

Generative AI Artificial Inteligence Company Data Engineering 278

Cloudera

APRIL 21, 2022

The Department of Defense (DoD) began implementing a platform originally tagged as the generic CHCS II (Composite Health Care System), a precursor to the military’s second-generation electronic health records (EHR) system, MHS Genesis. Those seconds saved could mean life or death for a patient.

Security 85

Security Data Insurance System 85