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. Cloudera Data Platform (CDP) is a solution that integrates open-source tools with security and cloud compatibility.

Government 119

Government Artificial Inteligence Data Machine Learning 119

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics.

Enterprise 130

Enterprise Applications Development Scalability 130

The Citus Data

MARCH 3, 2020

In recent years, the data landscape has seen strong innovation as a result of the onset of open source technologies. At the forefront, PostgreSQL has shown that it’s the open source database built for every type of developer. His focus areas are scalability, efficiency, and replication.

Azure 23

Azure Open Source Systems Review Software Review 23

AWS Machine Learning - AI

MARCH 20, 2025

The Asure team was manually analyzing thousands of call transcripts to uncover themes and trends, a process that lacked scalability. Staying ahead in this competitive landscape demands agile, scalable, and intelligent solutions that can adapt to changing demands.

Generative AI 73

Generative AI Artificial Inteligence Metrics AWS 73

Altexsoft

SEPTEMBER 19, 2019

That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance. Flow of data and ETL. There are certainly more of them.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Cloudera

AUGUST 17, 2021

And by being purely python based, Apache Airflow pipelines are accessible to a wide range of users, with a strong open source community. Let’s take a common use-case for Business Intelligence reporting. Figure 1: Pipeline composed of Spark and Hive jobs deployed to run within CDE’s managed Apache Airflow service.

Data 115

Data Open Source Analytics Machine Learning 115

Hacker Earth Developers Blog

APRIL 5, 2020

I took those learnings to the telecommunication vertical with TextNow building out the Business Intelligence and growth teams building products on user segmentation and insights, attribution, lifetime value prediction, experimentation, user engagement. . Arbaz: That’s great to know.

Engineering Management 190

Engineering Management Engineering Mobile Culture 190

CIO

AUGUST 24, 2023

By applying the right data management, propensity-based analytics, ML, and business intelligence tooling, Dangson says his team realized in 2021 that Equinix would be able to analyze data from channel partners and end customers to pinpoint which customers were best served directly via Equinix sales versus indirectly via partners and resellers.

Artificial Inteligence 146

Artificial Inteligence Minimum Viable Product Machine Learning Technical Review 146

O'Reilly Media - Ideas

JANUARY 14, 2025

SQL, the common language of all database work, is up 3.2%; Power BI was up 3.0%, along with the more general (and much smaller) topic Business Intelligence (up 5.0%). Its a good bet that many enterprises are trying to integrate AI into their systems or update legacy systems that are no longer scalable or maintainable.

Trends 130

Trends Technology Security Artificial Inteligence 130

Datavail

APRIL 12, 2021

MariaDB is a flexible, modern relational database that’s open source and is capable of turning data into structured information. In addition, CONNECT doesn’t use locking, meaning that data files are opened and closed for each query. It is easily scalable. Going Open-Source: Making the Move to MariaDB from Oracle.

Storage 98

Storage Engineering Open Source Business Intelligence 98

Altexsoft

JUNE 20, 2019

However, scalability can be a challenge with SQL databases. What are their main advantages and disadvantages, and how should businesses use them? Originally being an open-source solution, MySQL now is owned by Oracle Corporation. This fact makes MySQL even more attractive and gives businesses using it a room for growth.

Systems Review 85

Systems Review System Software Review Open Source 85

CTOvision

OCTOBER 18, 2013

H2O is the open source math & machine learning platform for speed and scale. Its Platform for Big Data, Cloudera Enterprise, empowers enterprises to Ask Bigger Questions™ and gain rich, actionable insights from all their data to derive real business value and competitive advantage. The Analyst One Top Technologies List.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Altexsoft

JANUARY 22, 2020

A complete guide to business intelligence and analytics. The role of business intelligence developer. When we talk about traditional analytics, we mean business intelligence (BI) methods and technical infrastructure. BI is a practice of supporting data-driven business decision-making.

Analytics 20

Analytics Data IoT Analysis 20

Dzone - DevOps

MARCH 21, 2023

Elasticsearch is an open-source search and analytics engine that allows you to store, search, and analyze large amounts of data in real-time. Also, you’ll understand its benefits and what is Elasticseach used for. So, let’s begin. What Is ElasticSearch?

Open Source 52

Open Source Business Intelligence Analytics Scalability 52

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). This includes Apache Hadoop , an open-source software that was initially created to continuously ingest data from different sources, no matter its type.

Systems Review 109

Systems Review Technical Review Software Review Big Data 109

Perficient

MARCH 29, 2023

Data lakehouses enable business intelligence (BI) and machine learning (ML) on all data. SAP HANA Cloud is a column-based, multi-modal and scalable in-memory database. SAP seems to have learned from its Hadoop past and is choosing to partner with industry leaders to focus on areas outside of its business expertise.

Analytics 81

Analytics Machine Learning Artificial Inteligence Architecture 81

Cloudera

JUNE 30, 2022

Companies, on the other hand, have continued to demand highly scalable and flexible analytic engines and services on the data lake, without vendor lock-in. Organizations want modern data architectures that evolve at the speed of their business and we are happy to support them with the first open data lakehouse. .

Data 88

Data Analytics Machine Learning Artificial Inteligence 88

Altexsoft

OCTOBER 21, 2022

In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. Plus the name sounded cool for an open-source project.”.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

DECEMBER 14, 2020

Unstructured data, on the other hand, offers more flexibility and scalability. Such databases can process huge volumes of data and deal with high user loads as they are quite flexible and scalable. One of the most popular open-source RDBMSs that is fast and reliable. In these collections, there are so-called documents.

Data 93

Data Artificial Inteligence Storage Analytics 93

Apiumhub

MARCH 4, 2021

Business intelligence. Companies can offer their data as a service to internal users facilitating business intelligence. DaaS streamlines data standardization, unifying different sources of data, data virtualization and automation of analytics. Self-service data preparation.

Trends 72

Trends Data Analytics Business Intelligence 72

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. The key benefits of using these systems are scalability, reliability, performance, and availability. Business Intelligence Services.

Big Data 52

Big Data Data Development Business Intelligence 52

Invid Group

AUGUST 28, 2024

They can be proprietary, third-party, open-source, and run either on-premises or in the cloud. Automation and Scalability Operationalization normally involves automating processes and workflows to enable scalability and efficiency. Either way, the solution has to bring value to the day-to-day operations.

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

InfoBest

JULY 18, 2018

Two of the most important SQL database platforms are MySQL (the world’s most popular open source database) and MariaDB (made by the original developers of MySQL). This free and open source, cross-platform, document-oriented database is often part of stacks like SAILS and MEAN. Many projects are developed with SQL.

Engineering 61

Engineering Technical Review PHP Software Review 61

Instaclustr

SEPTEMBER 28, 2021

The main Superset concepts are databases, data sources, charts, and dashboards. The focus is on “BI” (Business Intelligence) rather than machine metrics (c.f. Superset has more chart types than Kibana, although Kibana has multiple plugins (which may not be open source and/or work with Open Distro/OpenSearch).

Data 97

Data Virtualization Metrics Open Source 97

Altexsoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Offered as open-source with active support by communities.

Data 59

Data Technical Review Software Review Open Source 59

AWS Machine Learning - AI

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. Currently, the AWS CDK supports TypeScript, JavaScript, Python, Java, C#, and Go.

AWS 124

AWS Lambda Performance Artificial Inteligence 124

Altexsoft

MAY 14, 2021

Based on the complexity of data, it can be moved to the storages such as cloud data warehouses or data lakes from where business intelligence tools can access it when needed. Storage layers allow data coming from disparate sources to be arranged in partitions for further optimization and compression. Source: phoenixNAP.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. The open source platform works with Java , Python, and R.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Datavail

JUNE 8, 2023

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. He outlined several key criteria to consider such as scalability, performance, cost, reliability, security, and support.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Kentik

JULY 10, 2018

Highly scalable Kafka clusters that utilize a publish/subscribe model are a commonly deployed pipeline solution, supplying telemetry data to multiple consumer analytics engines and tools. Hadoop-based data lakes support offline batch processing on massive amounts of data for gaining business intelligence insights.

Tools 45

Tools Cloud Big Data WAN 45

Apiumhub

APRIL 27, 2021

Data mining is the process of analyzing massive volumes of data to discover business intelligence that helps companies solve problems, mitigate risks, and seize new opportunities. Weka is an open-source machine learning software with a vast collection of algorithms for data mining. What is Data Mining.

Artificial Inteligence 104

Artificial Inteligence Data Machine Learning Artificial Intelligence 104

AWS Machine Learning - AI

OCTOBER 2, 2024

You can deploy open-source evaluation metrics like RAGAS as custom metrics to make sure LLM responses are grounded, mitigate bias, and prevent hallucinations. A more scalable option is to have a centralized team build standard generative AI solutions codified into blueprints or constructs and allow teams to deploy and use them.

Generative AI 115

Generative AI Artificial Inteligence AWS Government 115

Altexsoft

FEBRUARY 3, 2020

It’s an open-source tool with tons of add-ons and in-depth data analytics capabilities that you can apply to literally any kind of business out there. Scalability makes it appropriate for both the smaller and the bigger teams. Apache Spark is a massive open-source tool built for diligent data analysts.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Altexsoft

OCTOBER 8, 2021

Usually, data integration software is divided into on-premise, cloud-based, and open-source types. As the name suggests, these tools aim at integrating data from different on-premise source systems. On-premises and cloud-based tools can sometimes be offered on an open-source basis, thus we have the third category.

Tools 52

Tools Data Software Review Open Source 52

Altexsoft

OCTOBER 2, 2020

In this case, there is no need for uniform formatting or a separate database to consolidate information from different sources. Data analytics and business intelligence: drawing insights from data. Specialist responsible for the area: data analyst, business intelligence analyst, data scientist, marketing analyst.

Strategy 64

Strategy Database Administration Data Technical Review 64

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data 98

Data Technical Review Storage Systems Review 98