TIBCO - Connected Intelligence

JANUARY 8, 2021

Most people think of data virtualization as a high productivity, low-cost way to integrate data for analytics. The key to data virtualization’s migration success is how it decouples data sources and consuming applications by inserting a flexible middleware layer that isolates your users from “migration moving parts.”

Virtualization 38

Virtualization Data Analytics Infrastructure 38

Cloudera

SEPTEMBER 1, 2020

DDE is a new template flavor within CDP Data Hub in Cloudera’s public cloud deployment option (CDP PC). It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. data best served through Apache Solr). data best served through Apache Solr). What does DDE entail?

Data 66

Data Backup Disaster Recovery Storage 66

AWS Machine Learning - AI

JANUARY 26, 2024

You can also consider implementing a zero trust architecture on AWS to further increase fine-grained authentication and authorization controls for what human users or machine-to-machine processes can access on a per-request basis. Understand the risks and benefits of using sensitive data in your models and inferencing.

Artificial Inteligence 117

Artificial Inteligence Generative AI Security Applications 117

Xebia

JULY 28, 2023

Setup the Azure Service Principal : We want to avoid Personal Tokens that are associated with a specific user as much as possible, so we will use a SP to authenticate dbt with Databricks. Now that we have our Databricks Workspace and SQL Warehouse instance configured, it is time to start dealing with authentication.

Cloud 130

Cloud Azure How To Windows 130

Cloudera

OCTOBER 29, 2020

From our release of advanced production machine learning features in Cloudera Machine Learning, to releasing CDP Data Engineering for accelerating data pipeline curation and automation; our mission has been to constantly innovate at the leading edge of enterprise data and analytics.

Data 106

Data Artificial Inteligence Machine Learning Analytics 106

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Enhanced multi-function analytics. Accelerate analytics with materialized view support.

Cloud 76

Cloud Data Analytics Machine Learning 76

Cloudera

NOVEMBER 13, 2017

As the market moves toward cloud-based big data and analytics, three qualities emerge as vital for success. End-user focused tools accelerate daily tasks like job submission, performance tuning, and workload analytics. The net result is much improved productivity for data engineers, data scientists, and analysts.

Analytics 40

Analytics Cloud Big Data Artificial Inteligence 40

Cloudera

JULY 11, 2023

Apache Impala and Apache Kudu make a great combination for real-time analytics on streaming data for time series and real-time data warehousing use cases. You can also potentially use Cloudera Data Engineering to ingest data into Kudu DH cluster, thereby using the DH cluster just for storage.

Data 70

Data Virtualization Pharmaceuticals Storage 70

TechCrunch

MAY 7, 2021

Analytics as a service: Why more enterprises should consider outsourcing. With an increasing number of enterprise systems, growing teams, a rising proliferation of the web and multiple digital initiatives, companies of all sizes are creating loads of data every day. The analytics-as-a-service (AaaS) market is expected to grow to $101.29

Fintech 246

Fintech Windows Healthcare Analytics 246

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 14, 2020

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. Cloudera Data Platform (CDP) is the new data cloud built for the enterprise.

Analytics 68

Analytics Big Data Government Cloud 68

Kentik

MAY 16, 2016

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. The key to making that work is Kentik’s Data Explorer API.

PHP 40

PHP Metrics Network Data 40

Cloudera

AUGUST 20, 2021

A multi-purpose platform focused on diverse value propositions for data products. All these different experiences leverage the same underlying data, security and governance layer via the Control Plane and the Shared Data Experience that enable a high degree of integration and modularity between components.

Strategy 94

Strategy Data Technical Review Weak Development Team 94

Altexsoft

JULY 29, 2022

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. a suitable technology to implement data lake architecture. What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop?

Big Data 59

Big Data Data Google Cloud Storage 59

Cloudera

OCTOBER 25, 2022

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Cloud 52

Cloud Data Firewall AWS 52

Confluent

FEBRUARY 22, 2019

The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices. Franz was conceived as a strongly typed, interoperable data stream for inter-service communication. Tom is a software engineer with a background in data.

Data 80

Data Software Review Weak Development Team Systems Review 80

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. The main idea of any data warehouse (DW) is to integrate data from multiple disjointed sources (e.g.,

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

BPM

JANUARY 18, 2019

That augmentation must be in a form attractive to humans while enabling security, compliance, authenticity and auditability. Companies will start demanding that their investments in Predictive Analytics, Machine Learning and AI show a real ROI. BPM must start to focus not on controlling humans but on augmenting them. 2019, oh my!

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform. Kafka vs ETL.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

NOVEMBER 5, 2021

For example, Azure Healthcare APIs and Healthcare Data Engine by Google support FHIR and other health data exchange standards while ensuring HIPAA compliance. It outlines several security domains that create a basis for the highest level of data protection across the organization.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Altexsoft

SEPTEMBER 28, 2021

It offers nearly 10,000 packages, covering almost every aspect of web app design — database connections, HTML templates, user authentication, CAPTCHA protection, APIs , content management systems, and many more. Particularly, it facilitates the work of researchers, data scientists, data engineers , QA engineers , and DevOps specialists.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

O'Reilly Media - Ideas

MARCH 1, 2023

Because almost all attacks start with a phish or some other kind of social engineering, just telling employees not to give their passwords away won’t help. Companies are increasingly using training programs, password managers, multifactor authentication, and other approaches to maintaining basic hygiene.

Trends 138

Trends Technical Review Technology Software Review 138

Cloudera

OCTOBER 7, 2021

A data mesh can be defined as a collection of “nodes”, typically referred to as Data Products, each of which can be uniquely identified using four key descriptive properties: . Data and Metadata: Data inputs and data outputs produced based on the application logic.

Architecture 122

Architecture Data Security Technical Review 122

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. It’s no longer driven by data volumes, but containerization, separation of storage and compute, and democratization of analytics.

Data Engineering 110

Data Engineering Engineering Data Storage 110

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 Artificial Inteligence Machine Learning Software Review 64

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. CDP helps clients reduce (or avoid entirely) costs for ancillary technology tools that are used in conjunction with competing analytical solutions.

Data 76

Data Analytics Government Technical Review 76

Netflix Tech

JANUARY 11, 2022

Curious to learn more about other Data Science and Engineering functions at Netflix? To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham.

Data 97

Data Metrics Testing Analysis 97