DataKitchen

AUGUST 3, 2021

The past decades of enterprise data platform architectures can be summarized in 69 words. First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Note, this is based on a post by Zhamak Dehghani of Thoughtworks. .

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

IBM Big Data Hub

APRIL 25, 2023

We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 58

Optimization Strategy Data Warehouse Cost-Benefit 58

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 109

Analytics IoT Data-driven Snapshot 109

Sisense

MARCH 6, 2019

Every year there’s high anticipation to see what key message Gartner will present in the yearly Data & Analytics Summits. The crowd who attends these events are made mostly of analytics leaders in Enterprises. Analytics leaders can only get buy-in if people understand the story of the journey and its purpose.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

AWS Big Data

FEBRUARY 1, 2024

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster.

Data Warehouse 119

Data Warehouse Dashboards Risk Management Risk 119

datapine

JANUARY 24, 2021

Although organizations spend millions of dollars on collecting and analyzing data with various data analysis tools , it seems like most people have trouble actually using that data in actionable, profitable ways. Your Chance: Want to perform advanced data analysis with a few clicks?

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 127

Business Intelligence Data-driven Statistics Data Warehouse 127

Laminar Security

JULY 19, 2023

To effectively protect sensitive data in the cloud, cyber security personnel must ensure comprehensive coverage across all their environments; wherever data travels, including cloud service providers (CSPs), data warehouses, and software-as-a-service (SaaS) applications.

Data Warehouse 91

Data Warehouse Data-driven Data Governance Risk 91

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Andrew White

DECEMBER 9, 2019

This was a great inquiry since it called into question the perceived wisdom peddled by some that cataloging everything was a prerequisite for data (and analytics) governance. Modern data (and analytics) governance does not necessarily need: Wall-to-wall discovery of your data and metadata. The use case, and.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. Big data and data warehousing.

Technology 135

Technology Data Warehouse Big Data Machine Learning 135

Cloudera

FEBRUARY 7, 2019

The company sought a data management platform that would allow its enterprise to handle greater data variety, velocity and volume in a cost-effective manner. This has become a core component of the fraud management framework for the business, and has helped solidify its role as the trusted keeper of sensitive data.

Big Data 64

Big Data Data Analytics Analytics Data Architecture 64

Sisense

JULY 8, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

CIO Business Intelligence

JULY 24, 2022

Alexis Rouch will join software vendor Nuix as CIO in August replacing Paul Keen who is leaving the company. Herbert was responsible for data management and analytics capability. Paul Keen departs from Nuix, Alexis Rouch takes CIO role. Rouch joins from IT services and consulting firm Class where she’d been CTO since March 2020.

IT 98

IT Data Lake Digital Transformation Data Warehouse 98

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 95

Data Warehouse Testing Data Lake Data-driven 95

AWS Big Data

NOVEMBER 17, 2023

Amazon Redshift is a cloud data warehousing service that provides high-performance analytical processing based on a massively parallel processing (MPP) architecture. Building and maintaining data pipelines is a common challenge for all enterprises. These SCDs identify how a row in a table changes over time.

Snapshot 87

Snapshot Data Processing Testing Data Warehouse 87

AWS Big Data

MAY 2, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data efficiently and securely. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in Amazon Redshift data warehouses.

Data Warehouse 60

Data Warehouse Software Visualization IoT 60

Sisense

APRIL 17, 2020

One common theme among many transformations, however, is trying to make better use of data, whether to build analytic apps to unlock new revenue streams or to make smarter decisions internally (or both). You can do these smaller experiments more cost-efficiently, saving money over the traditional data strategy.

Data Strategy 81

Data Strategy Strategy Digital Transformation Data Warehouse 81

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 a) If You’re A Student.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. We find it helpful to think of data operations as a factory. That’s the state of data analytics today. . Figure 2: Data operations can be conceptualized as a series of automated factory assembly lines.

Testing 157

Testing Dashboards Measurement Experimentation 157

AWS Big Data

DECEMBER 13, 2023

Traditionally, customers used batch-based approaches for data movement from operational systems to analytical systems. A batch-based approach can introduce latency in data movement and reduce the value of data for analytics. usually a data warehouse) needs to reflect those changes in near real-time.

Data Warehouse 94

Data Warehouse Snapshot Data Processing Management 94

AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. The user permissions are evaluated using AWS Lake Formation to filter the relevant data.

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

JUNE 23, 2023

There are also no-code data engineering and AI/ML platforms so regular business users, as well as data engineers, scientists and DevOps staff, can rapidly develop, deploy, and derive business value. Even physical assets can be monetized this way.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

CIO Business Intelligence

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. But there is more room to go.

Digital Transformation 143

Digital Transformation IoT Data-driven KPI 143

AWS Big Data

JANUARY 24, 2023

Serverless applications are a modernized way to perform analytics among business departments and engineering teams. Reporting and analysis – An application where you can trigger large analytical queries with dynamic inputs and then view or download the results. What are WebSockets and why do we need them?

Analytics 57

Analytics Data-driven Management Reporting 57

Jet Global

NOVEMBER 5, 2020

It sells a myriad of different software products, including a growing portfolio of software-as-a-service (SaaS) offerings. OLAP reporting has traditionally relied on a data warehouse. OLAP reporting based on a data warehouse model is a well-proven solution for companies with robust reporting requirements.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

CIO Business Intelligence

MARCH 16, 2022

But even before the pandemic hit, Dubai-based Aster DM Healthcare was deploying emerging technology — for example, implementing a software-defined network at its Aster Hospitals UAE infrastructure to help manage IoT-connected healthcare devices. CIO Middle East: Data Analytics is key in healthcare. Repeated small things.

Technology 115

Technology Digital Transformation Business Intelligence Data Warehouse 115

CIO Business Intelligence

MAY 16, 2022

The advent of distributed workforces, smart devices, and internet-of-things (IoT) applications is creating a deluge of data generated and consumed outside of traditional centralized data warehouses. billion connected IoT devices by 2025, generating almost 80 billion zettabytes of data at the edge. “You

IoT 97

IoT Data Warehouse Internet of Things Machine Learning 97

Cloudera

AUGUST 2, 2018

True – millions of credit card transactions are processed within minutes for consistency, fraud and compliance, using petabytes of historical transactions as reference data. Data teams in these insurance firms are leading the charge in rebuilding entire business models around data and analytics. Hybrid compute.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process. You can send data from your streaming source to this resource for ingesting the data into a Redshift data warehouse.

Data Analytics 87

Data Analytics Analytics Data Warehouse Data Lake 87

AWS Big Data

NOVEMBER 29, 2023

The Eightfold Talent Intelligence Platform powered by Amazon Redshift and Amazon QuickSight provides a full-fledged analytics platform for Eightfold’s customers. It delivers analytics and enhanced insights about the customer’s Talent Acquisition, Talent Management pipelines, and much more.

Metadata 100

Metadata Data Warehouse Analytics Data Analytics 100

AWS Big Data

APRIL 4, 2024

With a wealth of experience in software development, architecture, and analytics across diverse sectors such as finance, telecom, retail, and healthcare, he brings invaluable insights to his role. He helps customers design & build scalable data analytics solutions and migrate data pipelines and data warehouses to AWS.

Data Quality 60

Data Quality Data Lake Data Warehouse Data-driven 60

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. If you’ve got big data, the right analytics platform or third-party big data reporting tools will be vital to helping you derive actionable intelligence from it.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Cloudera

FEBRUARY 11, 2019

The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. This applies to native CSP product offerings as well as point solutions from independent software vendors.”.

Management 43

Management Metadata Analytics Machine Learning 43