Insight

AUGUST 12, 2019

How to prepare for your DevOps interview Over the past decade, DevOps has emerged as a new tech culture and career that marries the rapid iteration desired by software development with the rock-solid stability of the infrastructure operations team. For a good overview of what DevOps entails and how to transition, check out this blog post.

Software 65

Software Data-driven Testing Interactive 65

DataKitchen

JULY 27, 2023

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

DataKitchen

FEBRUARY 2, 2023

We’ve read many predictions for 2023 in the data field: they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc. Here at DataKitchen, we wanted to take a different approach: look at a three-year horizon. What will the world of data tools be like at the end of 2025?

Metadata 130

Metadata Testing Risk Data Science 130

DataKitchen

NOVEMBER 20, 2021

What makes an effective DataOps Engineer? You might ask what that means. Errors are an inherent part of data analytics. The product for a data engineer is the data set. For an analyst, the product is the analysis that they deliver for a data object. We’re looking to create a repeatable process.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

CIO Business Intelligence

FEBRUARY 28, 2024

The use of gen AI in the enterprise was nearly nothing in November 2022, where the only tools commonly available were AI image or early text generators. Plus, when you add in cloud-based gen AI tools like ChatGPT, the percentage of companies using gen AI in one form or another becomes nearly universal. They need stability. in December.

IT 121

IT Consulting Modeling Enterprise 121

DataRobot Blog

MARCH 16, 2023

To deliver on this new approach, one that we are calling Value-Driven AI , we set out to design new and enhanced platform capabilities that enable customers to realize value faster. Today, we want to share what we learned and established as the key requirements for an AI Platform to consistently deliver value from investments in AI.

Experimentation 98

Experimentation Data-driven Modeling Metadata 98

Alation

MAY 16, 2023

Data is a valuable resource, especially in the world of business. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines. What is a Data Pipeline? What is a Data Pipeline? The end result is data that is ready to be analyzed.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

DataRobot Blog

MARCH 16, 2023

Data scientists run experiments. To work effectively, data scientists need agility in the form of access to enterprise data, streamlined tooling, and infrastructure that just works. We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production.

Modeling 52

Modeling Experimentation Machine Learning Data-driven 52

AWS Big Data

JUNE 19, 2023

Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. We have introduced dataset parameters , a new kind of parameter in QuickSight that can help you create interactive experiences in your dashboards. Parameters help users create interactive experiences in their dashboards.

Optimization 69

Optimization Slice and Dice Dashboards Recreation/Entertainment 69

Sisense

DECEMBER 3, 2019

Data is the New Oil” was coined by The Economist in May 2017 and became a mantra for organizations to drive new wealth from data. But in reality, data by itself has no value. The rapid growth of data volumes has effectively outstripped our ability to process and analyze it.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

Sisense

OCTOBER 7, 2019

AI and the data pipeline. A well set up data pipeline is a thing of beauty, seamlessly connecting multiple datasets to a business intelligence tool to allow clients, internal teams, and other stakeholders to perform complex analysis and get the most out of their data. . Clean as you go.

Testing 71

Testing Forecasting Business Intelligence Data Warehouse 71

Alation

MAY 16, 2023

Data is a valuable resource, especially in the world of business. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines. What is a Data Pipeline? What is a Data Pipeline? The end result is data that is ready to be analyzed.

Data Lake 40

Data Lake Data Governance Data Warehouse Data Processing 40

DataRobot Blog

DECEMBER 15, 2022

By simplifying Time Series Forecasting models and accelerating the AI lifecycle, DataRobot can centralize collaboration across the business—especially data science and IT teams—and maximize ROI. This is where the DataRobot AI platform can help automate and accelerate your process from data to value, even in a scalable environment.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

Domino Data Lab

OCTOBER 23, 2019

This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. It covers questions to consider as well as collecting, prepping and plotting data. Collecting and prepping data are core research tasks. Does individual player performance impact a team’s wins?

Statistics 59

Statistics Machine Learning Testing Modeling 59

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Metrics Data-driven 52

Domino Data Lab

JUNE 10, 2020

Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. DMM creates a “single pane of glass” to monitor the performance of all models across your entire organization — even models built or deployed outside of Domino.

Data Science 82

Data Science Enterprise Experimentation Modeling 82

DataRobot Blog

APRIL 1, 2018

Paxata was a Silver Sponsor at the recent Gartner Data and Analytics Summit in Grapevine Texas. 1) People and machines come together to create a more powerful and agile experience. 1) People and machines come together to create a more powerful and agile experience. We agree with that.

Analytics 40

Analytics IoT Internet of Things B2B 40

Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data. Driving startup growth with the power of data. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Birst BI

MAY 14, 2019

Cloud, digital transformation, mergers and acquisitions, big data analytics, data monetization, and more are all critical business initiatives creating an even greater divide between centralized IT and decentralized analytic teams in the business. What was your vision for Birst 7? How was it different from Birst 6?

Analytics 9

Analytics Key Performance Indicator Business Intelligence Visualization 9

CIO Business Intelligence

AUGUST 1, 2023

But with all the excitement and hype, it’s easy for employees to invest time in AI tools that compromise confidential data or for managers to select shadow AI tools that haven’t been through security, data governance, and other vendor compliance reviews. That’s my key advice to CIOs and IT leaders.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

Sisense

JULY 28, 2019

To understand how businesses in the future will create the most value with data, it helps to take a look back at the preceding waves of innovation that have shaped the space. What did change is that computers become more prevalent in the workplace, appearing on every desk in every office of companies around the world.

Statistics 75

Statistics Machine Learning Business Intelligence Measurement 75

Jet Global

MAY 1, 2023

It will show you what embedded analytics are and how they can help your company. It will show you how to select the right solution and what investments are required for success. We hope this guide will transform how you build value for your products with embedded analytics. CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

NOVEMBER 21, 2022

This might seem like a weird question, but much like the average person, spreadsheet performance will drop if all it consumes is unhealthy data. This means far slower data extraction times and heart problems from inaccurate, outdated information slipping into your reporting. Is Your Spreadsheet Eating Clean?

Reporting 52

Reporting Finance Software Sales 52

Occam's Razor

OCTOBER 12, 2017

The Next section provides advice on what you should be doing to invest in yourself to get ready for the depth and breadth change Artificial Intelligence is going to bestow upon us (regardless of your business role). The Next Career Plan: Prepping For An AI-First World. The Long Career Plan: Automation & Your Value To A Company.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

NOVEMBER 16, 2022

Inventory KPIs provide businesses with accurate information to make data-driven decisions. Tracking safety and employee satisfaction can help create a better environment that both attracts and retains workers. Inventory KPIs and metrics are crucial aspects of the reporting process. How to Build Useful KPI Dashboards. Download Now.

Metrics 52

Metrics Reporting KPI Cost-Benefit 52

Jet Global

JUNE 24, 2022

Companies that consistently close fast and clean only get that done by implementing the right tools and methods. Companies that consistently close fast and clean only get that done by implementing the right tools and methods. The financial consolidation and close process takes a variety of financial statements and documents.

Reporting 52

Reporting Software Sales Management 52

Jet Global

JANUARY 19, 2024

2023 was a big year for developers, with technology taking huge leaps forward in new and exciting areas like AI. With customers now expecting more than ever from analytics, many development teams invested in embedded analytics solutions to reduce the workload and time to value for their applications.

Analytics 52

Analytics Dashboards Visualization Data-driven 52

Jet Global

SEPTEMBER 1, 2023

According to insightsoftware and Hanover Research’s 2023 Finance Team Trends Report , the rate at which organizations expect to grow is down to 64%, compared to 73% in 2022. When it comes to hiring skilled finance teams, leaders are struggling to find new talent to replace recent retirees.

Finance 52

Finance Reporting Cost-Benefit Operational Reporting 52