CTOvision

AUGUST 1, 2015

“Organizations are spending billions of dollars to consolidate its data into massive data lakes for analytics and business intelligence without any true confidence applications will achieve a high degree of performance, availability and scalability. The post Immuta raises $1.5M

Big Data 114

Big Data System Data Software Engineering 114

Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. A rare breed. What do you mean by democratizing?

Data 112

Data Weak Development Team Data Engineering Enterprise 112

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget 218

Budget Artificial Inteligence Technical Review VR 218

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. Let’s take a common use-case for Business Intelligence reporting. Figure 2: Example BI reporting data pipeline.

Data 115

Data Open Source Analytics Machine Learning 115

John Snow Labs

FEBRUARY 12, 2025

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

Artificial Inteligence 52

Artificial Inteligence Azure Healthcare Software Review 52

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Read why the future of data lakehouses is open.

Data 88

Data Analytics Machine Learning Artificial Inteligence 88

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. Fraudulent Activity Detection.

Government 119

Government Artificial Inteligence Data Machine Learning 119

CIO

MAY 11, 2023

With a portfolio spanning skill games (RummyCircle), fantasy sports (My11Circle), and casual games (U Games), the company banks firmly on technology to build a highly scalable gaming infrastructure that serves more than 100 million registered users across platforms. This platform is built and managed by our own data engineering team.

Games 103

Games Artificial Inteligence Data Artificial Intelligence 103

Altexsoft

MARCH 18, 2021

From the late 1980s, when data warehouses came into view, and up to the mid-2000s, ETL was the main method used in creating data warehouses to support business intelligence (BI). As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. What is ELT?

Systems Review 109

Systems Review Technical Review Software Review Big Data 109

AWS Machine Learning - AI

AUGUST 8, 2024

RAG optimizes language model outputs by extending the models’ capabilities to specific domains or an organization’s internal data for tailored responses. This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock.

Artificial Inteligence 127

Artificial Inteligence Data Generative AI AWS 127

Altexsoft

JANUARY 14, 2021

It is usually created and used primarily for data reporting and analysis purposes. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. Scalability.

Backup 115

Backup Azure Software Review Architecture 115

Kentik

MAY 2, 2016

In part 1 of this series we introduced Kentik Data Engine™, the backend to Kentik Detect™, which is a large-scale distributed datastore that is optimized for querying IP flow records (NetFlow v5/9, sFlow, IPFIX) and related network data (GeoIP, BGP, SNMP). Want to try KDE with your own network data? Time: 1.293s.

Data Engineering 40

Data Engineering Engineering .Net Data 40

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Scalability and performance – The EMR Serverless integration automatically scales the compute resources up or down based on your workload’s demands, making sure you always have the necessary processing power to handle your big data tasks.

Serverless 117

Serverless AWS Artificial Inteligence Big Data 117

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

JANUARY 22, 2020

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. A complete guide to business intelligence and analytics. The role of business intelligence developer.

Analytics 20

Analytics Data IoT Analysis 20

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Deploying modern data architectures.

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

OCTOBER 4, 2023

Different data streams will have different characteristics, and having a platform flexible enough to adapt, with things like flexible partitioning for example, will be essential in adapting to different source volume characteristics.

Analytics 89

Analytics Machine Learning Artificial Inteligence Telecommunications 89

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

Big Data 52

Big Data Data Development Business Intelligence 52

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Invid Group

AUGUST 28, 2024

Automation and Scalability Operationalization normally involves automating processes and workflows to enable scalability and efficiency. By automating data processes, organizations can ensure that insights and models are consistently applied to new data and operational decisions, reducing manual effort and improving responsiveness.

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

Cloudera

NOVEMBER 2, 2020

These are end-to-end, high volume applications that are used for general purpose data processing, Business Intelligence, operational reporting, dashboarding, and ad hoc exploration. But an important caveat is that ingest speed, semantic richness for developers, data freshness, and query latency are paramount.

Data 97

Data Analytics Storage Big Data 97

InnovationM

MAY 14, 2023

Technologies Behind Data Lake Construction Distributed Storage Systems: When building data lakes, distributed storage systems play a critical role. These systems ensure high availability and facilitate the storage of massive data volumes. Data Ingestion Tools: The journey of constructing a data lake starts with data ingestion.

Data 52

Data Storage Construction Business Intelligence 52

Altexsoft

OCTOBER 2, 2020

Data integration and interoperability: consolidating data into a single view. Specialist responsible for the area: data architect, data engineer, ETL developer. Data analytics and business intelligence: drawing insights from data. Cloudera Data Platform capabilities.

Strategy 64

Strategy Database Administration Data Technical Review 64

Hu's Place - HitachiVantara

JUNE 5, 2019

You can’t sit back and let some one else make decisions for you about security, data definitions, and business rules and you can’t make these decisions in isolation. Business owners reported immediate benefits from this implementation. Fatima Hamad, Sr. queries over 6 months Enhanced analytics for 110+ users with 2.2k

Technical Review 40

Technical Review Analytics Data Engineering Scalability 40

Altexsoft

MAY 14, 2021

On top of that, new technologies are constantly being developed to store and process Big Data allowing data engineers to discover more efficient ways to integrate and use that data. You may also want to watch our video about data engineering: A short video explaining how data engineering works.

Big Data 78

Big Data Analytics Tools Applications 78

Cloudera

SEPTEMBER 9, 2018

It enables organizations to address their data warehousing reporting needs by making it quick and easy to consolidate data into a single repository yet still service your users’ needs in a scalable and cost-effective way. Using Cloudera Altus for your cloud data warehouse. Try Altus Data Warehouse today.

Data 40

Data Data Engineering Analytics Cloud 40

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. A subscriber is a receiving program such as an end-user app or business intelligence tool.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Scalability. ELT vs ETL.

Tools 52

Tools Software Review Systems Review Testing 52

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. BTW, we have an engaging video explaining how data engineering works.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Openxcell

JANUARY 3, 2025

Openxcell is always ready to understand your project needs and use AI’s full potential to deliver a solution that propels your business forward. The company offers a wide range of AI Development services, such as Generative AI services, Custom LLM development , AI App Development , Data Engineering , GPT Integration , and more.

Artificial Inteligence 40

Artificial Inteligence Company Development Artificial Intelligence 40

Mobilunity

DECEMBER 9, 2024

ML algorithms for predictions and data-based decisions; Deep Learning expertise to analyze unstructured data, such as images, audio, and text; Mathematics and statistics. Google Professional Machine Learning Engineer implies developers knowledge of design, building, and deployment of ML models using Google Cloud tools.

Engineering 52

Engineering Artificial Inteligence Machine Learning Technical Review 52

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers.

Data 40

Data Nonprofit Quality Assurance Education 40

StubHub

SEPTEMBER 20, 2018

Analysts focus on ad-hoc, in-depth analytics to provide insightful business intelligence and product analysis. Infinite capacity and scalability The data system?—?including including data storage, pipeline, analytic platform and machine learning platform?—?is is cloud-based and scalable based on needs and usage.

Data 40

Data Scalability Analytics Sport 40

Altexsoft

AUGUST 4, 2021

Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit. What is a data mart? Data mart use cases. Time-limited data projects.

Data 64

Data Analytics Construction Cloud 64

Agile Engine

DECEMBER 27, 2023

A data analytics consultancy has a team of specialists and engineers who perform data analytics for companies that don’t have the capacity to do it in-house. Adaptability and scalability that come with consultancies being able to scale resources up or down as needed.

Big Data 52

Big Data Analytics Data Analysis 52

Perficient

APRIL 1, 2024

Fabric enables integration of team of data scientist, data engineers & data analyst on a single unified platform. Conclusion The story does not end here but continue with authoring dashboards & reporting from Power BI based on the semantic model produced by Lakehouse.

Data 64

Data Azure Case Study Data Engineering 64