CTOvision

FEBRUARY 4, 2015

Security Spotlight: Focus on HIPAA and PCI Compliance. Security and Compliance in the Era of Big Data. Eddie helps Cloudera enterprise customers reduce security and compliance risks associated with sensitive data sets stored and accessed in Apache Hadoop environments. Pentaho is building the future of business analytics.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Lacework

NOVEMBER 1, 2023

In many cases we see that customers prefer to have their data stored and managed locally in their home region, both for reasons of regulatory compliance and also business preference. A mart is a group of aggregated tables (e.g.,

System Design 52

System Design Systems Review System Data 52

O'Reilly Media - Ideas

FEBRUARY 11, 2019

There are many articles that point to the explosion of data, but in order for that data that be useful for analytics and ML, it has to be collected, transported, cleaned, stored, and combined with other data sources. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management. Automation in data science and big data.

Big Data 86

Big Data Technology Tools Cloud 86

CTOvision

JANUARY 18, 2015

Security Spotlight: Focus on HIPAA and PCI Compliance. Security and Compliance in the Era of Big Data. Eddie helps Cloudera enterprise customers reduce security and compliance risks associated with sensitive data sets stored and accessed in Apache Hadoop environments. Pentaho is building the future of business analytics.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Regulatory compliance.

Architecture 52

Architecture Cloud Storage Google Cloud 52

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

Altexsoft

OCTOBER 29, 2020

Here, we introduce you to ETL testing – checking that the data safely traveled from its source to its destination and guaranteeing its high quality before it enters your Business Intelligence reports. Data transformation process compliance. Performance and integration testing. Data quality and completeness.

Testing 63

Testing Tools Software Review Technical Review 63

CIO

OCTOBER 19, 2023

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. Power BI’s rich reports or dashboards can be embedded into reporting portals you already use.

Artificial Inteligence 317

Artificial Inteligence Azure Machine Learning Metrics 317

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI).

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Existek

JANUARY 27, 2023

One of the biggest challenges is regulatory compliance. Another trend expected to shape software development in the financial services industry is the increasing use of open-source software. Open-source software offers several benefits, such as lower costs, a wider pool of developers, and greater flexibility.

Software Development 52

Software Development Trends Technology Software 52

Bernd Rucker

MAY 27, 2020

increased efficiency, effectiveness, compliance), as many people, including decision-makers, will be interested in quantifiable results. And finally, you simply can’t google for problems in your own bespoke platform, but you can for well-known open-source products. If it is great, most people will happily apply it.

Programming 52

Programming Company Architecture Technical Review 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 Compliance 109

Sunflower Lab

OCTOBER 2, 2023

Among of these important features is support for 90+ data sources, including support for over 15 Azure-based data resources, 26 open-source and cross-cloud data warehouses and databases, 6 file-based data sources, and 3 No SQL-based data sources.

Azure 40

Azure Analytics UI/UX Software Review 40

Cloudera

JUNE 30, 2022

Time travel with point-in-time queries for forensic visibility and regulatory compliance capabilities . With Apache Iceberg in CDP, Cloudera leads beyond the data lakehouse with an open ecosystem of data and community, combined with enterprise hardening and performance. We selected change data capture as our first use case on Iceberg.

Data 91

Data Analytics Machine Learning Artificial Inteligence 91

Cloudera

OCTOBER 25, 2022

The cloud data lakehouse brings multiple processing engines (SQL, Spark, and others) and modern analytical tools (ML, data engineering, and business intelligence) together in a unified analytical environment. It allows users to rapidly ingest data and run self-service analytics and machine learning. Encryption.

Cloud 52

Cloud Data Firewall AWS 52

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 102

Artificial Inteligence Data Machine Learning Artificial Intelligence 102

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and multi-cloud also provide flexible data management, governance, compliance, availability, and durability. Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence.

Cloud 49

Cloud AWS Azure Data Center 49

Altexsoft

JUNE 20, 2019

One of the SQL fundamentals is ACID compliance (Atomicity, Consistency, Isolation, Durability). The ACID-compliance is a preferred option if you build, for instance, eCommerce or financial applications, where database integrity is critical. What are their main advantages and disadvantages, and how should businesses use them?

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

FEBRUARY 10, 2021

Besides that, data catalogs can prevent unauthorized data access and simplify compliance with GDPR and other data protection regulations. ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are two competing methods of moving data between systems — from a data source to a storage medium. Consider ELT.

Analytics 75

Analytics DevOps Development Software Review 75

Datica

MAY 8, 2019

SMART technology, which helps you build apps faster using open source tools, combined with the FHIR API is a powerhouse of healthcare data exchange. A side effect of FHIR might be penalty avoidance for compliance issues. FHIR opens healthcare and patient up like searching for a sweater on Amazon. HAPI Google Group.

Healthcare 40

Healthcare Resources Technical Review Case Study 40

Abhishek Tiwari

JULY 20, 2019

Back-office engineering squad - customer support, business intelligence, real-estate management, systems for finance & HR, etc. Supplier engineering squad - focus on supplier marketplace, demand and replenishment forecasting, risk and compliance, etc.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

Altexsoft

SEPTEMBER 21, 2023

First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database. What is Elasticsearch? It is developed in Java and built upon the highly reputable Apache Lucene library. The engine’s core strength lies in its high-speed, near real-time searches.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

TechCrunch

JANUARY 16, 2021

Areas such as vertical banking, embedded finance, compliance as a service and consumer finance consistently get overlooked by young Israeli founders. We are seeing many successful Israeli SaaS companies across the board, from marketing and collaboration tools, business intelligence products, to payment systems.

Technical Review 354

Technical Review Software Review Trends Systems Review 354

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. The basic version of Infogram is free, but we recommend you to try the business package starting at $67 per user per year. Rapid Miner. Apache Spark.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Altexsoft

MARCH 14, 2023

Offered as open-source with active support by communities. Many components of a modern data stack (such as Apache Airflow, Kafka, Spark, and others) are open-source and free. While the open-source part is definitely a good thing, it requires a high level of expertise as there’s often no GUI.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

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

O'Reilly Media - Ideas

SEPTEMBER 3, 2019

It is an open source, machine-learning-based system for automatic error detection and repair. In addition to Holoclean, Christopher Ré and his collaborators have released an open source data programming tool called Snorkel. While it doesn’t solve all the problems of data cleaning, Holoclean is a big step forward.

Artificial Inteligence 18

Artificial Inteligence Tools Data Artificial Intelligence 18