Smart Data Collective

AUGUST 26, 2021

Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips. These data-driven predictions also tend to be surprisingly accurate. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. That’s where data analytics steps into the picture.

Forecasting 129

Forecasting Data Analytics Analytics IoT 129

Smart Data Collective

AUGUST 9, 2023

By analyzing the revenue streams of a particular business, you can gain deep insights about the processes that the company uses to make money. Organizations that use data analysis to improve their profitability can use the following techniques to streamline their operations and reorient their business workflows.

Data Analytics 86

Data Analytics Analytics Sales Interactive 86

AWS Big Data

MARCH 12, 2024

At GoDaddy, we take pride in being a data-driven company. Our relentless pursuit of valuable insights from data fuels our business decisions and ensures customer satisfaction. Background In late 2020, GoDaddy’s data platform initiated its AWS Cloud journey, migrating an 800-node Hadoop cluster with 2.5

Cost-Benefit 88

Cost-Benefit Optimization Big Data Metrics 88

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

Cloudera

JUNE 13, 2022

We are excited to announce that Cloudera is named as a 2022 Gartner Peer Insights Customers’ Choice for Cloud Database Management Systems (DBMS). Peer Insights is a user review site, the technology professional’s “go-to” destination for information on customer experience. “CDP is maturing into a good platform.

Publishing 71

Publishing Manufacturing Finance Marketing 71

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Smart Data Collective

OCTOBER 14, 2019

From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. Big Data Skillsets. billion allocated for data center systems and $90.2 Take shopping experiences, for example.

Big Data 74

Big Data Software Data mining Prescriptive Analytics 74

Cloudera

SEPTEMBER 1, 2021

The more an enterprise wants to know about itself and its business prospects, the more data it needs to collect and analyze. Additionally, the more data it collects and stores, the better its ability to know customers, to find new ones, and to provide more of what they want to buy. Common characteristics of data-driven companies.

Data-driven 96

Data-driven Data Quality Enterprise Digital Transformation 96

AWS Big Data

NOVEMBER 2, 2023

GoDaddy is a data-driven company, and getting meaningful insights from data helps us drive business decisions to delight our customers. As a part of this vision, GoDaddy’s Data & ML Platform team plans to use EMR Serverless as one of the compute solutions under the hood.

Cost-Benefit 84

Cost-Benefit Big Data Testing Optimization 84

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

Jen Stirrup

MAY 5, 2020

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. How can you differentiate the different opportunities to store your data in Azure? Organizations need to recast storing their data.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Sisense

MARCH 20, 2019

As a company that touts the benefits of a full end-to-end BI solution, we certainly know the value of a data engineer. The data engineer’s job is to extract, clean, and normalize data, clearing the path for data scientists to explore that data and build models. First, let’s start with basic language skills.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

Alation

FEBRUARY 20, 2020

Since we launched the company, Alation has delivered a unique way to catalog data for the enterprise. to catalog enterprise data by observing analyst behaviors. Our approach was contrasted with the traditional manual wiki of notes and documentation and labeled as a modern data catalog. Can I trust this data?

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. The power of the data lake lies in the fact that it often is a cost-effective way to store data.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Cloudera

NOVEMBER 10, 2020

Two of the more painful things in your everyday life as an analyst or SQL worker are not getting easy access to data when you need it, or not having easy to use, useful tools available to you that don’t get in your way! This simple statement captures the essence of almost 10 years of SQL development with modern data warehousing.

Visualization 107

Visualization Optimization Unstructured Data Dashboards 107

Smart Data Collective

APRIL 23, 2019

The savviest marketers are leveraging big data to formulate better insights into the ROI of their influencer campaigns and identify ways to optimize them better. There are plenty of ways to use big data to bolster the effectiveness of your influencer strategy. Here are some ideas to consider.

Big Data 82

Big Data Data mining ROI Marketing 82

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? One challenge in applying data science is to identify pertinent business issues.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Sisense

MARCH 19, 2019

Choosing the right solution to warehouse your data is just as important as how you collect data for business intelligence. To extract the maximum value from your data, it needs to be accessible, well-sorted, and easy to manipulate and store. So, what are the benefits of switching data storage to Redshift data warehouses?

Data Warehouse 94

Data Warehouse Cost-Benefit Business Intelligence Data Processing 94

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. Healthcare organizations have made significant investments in implementing systems which yield an abundance of data.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

Smart Data Collective

MARCH 30, 2022

They can use data on online user engagement to optimize their business models. They are able to utilize Hadoop-based data mining tools to improve their market research capabilities and develop better products. Companies that use big data analytics can increase their profitability by 8% on average.

Analytics 114

Analytics Cost-Benefit Testing Dashboards 114

Insight

AUGUST 16, 2019

The industry demand for Data Engineers is constantly on the rise, and with it more and more software engineers and recent graduates try to enter the field. The biggest hurdle for newcomers lies in understanding the Data Engineering landscape and getting hands-on experience with relevant frameworks. Want to Become a Data Engineer?

Big Data 51

Big Data Data Science Data Processing Machine Learning 51

Cloudera

AUGUST 10, 2021

you can look forward to new features, enhanced security, and better platform performance to help your business drive faster insights and value. We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers. .

Metadata 97

Metadata Sales Statistics Management 97

Smart Data Collective

AUGUST 27, 2019

Big data has helped us learn more about the changing nature of the economy. A growing number of digital firms are using machine learning to discover insights into the nature of the new world of commerce. New Hadoop and other data extraction tools have provided a great deal of information about these trends.

Big Data 75

Big Data Data mining Machine Learning Software 75

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! The growth in the range of data job titles is a testament to the value that these experts bring to their organizations.

Statistics 97

Statistics Metrics Visualization Finance 97

Smart Data Collective

JULY 25, 2019

Not long ago, big data was one of the most talked about tech trends , as was artificial intelligence (AI). But, in case people need a reminder of how fast technology evolves , they only need to consider something newer — big data AI. So, big data AI can both compile information and respond to it. Aiding With Risk Assessments.

Big Data 85

Big Data Insurance Risk Cost-Benefit 85

AWS Big Data

JANUARY 30, 2023

We ran both the tests with data in Amazon Simple Storage Service (Amazon S3). However, for a benchmarking exercise where we compare two platforms purely on performance, and test data volumes don’t change (3 TB in our case), we believe it’s best to avoid variability in order to run an apples-to-apples comparison. workloads 1.7

Testing 65

Testing Data Lake Big Data Optimization 65

Cloudera

FEBRUARY 7, 2019

A key pillar in the transformation journey is focused on robust data operations that can help ATB deliver timely, relevant and delightful service. 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.

Big Data 63

Big Data Data Analytics Analytics Data Architecture 63

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Lineage and chain of custody, advanced data discovery and business glossary.

Testing 130

Testing Metadata Risk Data Science 130

FineReport

JULY 6, 2022

Some BI tools are devoted to helping companies’ data analysis and business information management, gradually becoming the leaders of the BI market. When our company witnesses the explosion of data and information, which business intelligence tool is the most appropriate one to help us make full use of the wealth of the business data?

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 89

Data Lake Snapshot Big Data Data-driven 89

Rita Sallam

AUGUST 17, 2016

Just yesterday, Saleforce announced its intention to buy smart data discovery vendor, BeyondCore, a new Visionary entrant to this year’s BI and Analytics Magic Quadrant ! At the end of July, Workday announced its intention to acquire Platfora , one of the original Hadoop-based data discovery vendors and new to the Niche quadrant of the MQ.

Scorecard 40

Scorecard Visualization Sales Marketing 40

Smart Data Collective

AUGUST 29, 2019

Are you considering a career in big data ? Get ICT Training to Thrive in a Career in Big Data. Data is a big deal. Many of the world’s biggest companies – like Amazon and Google have harnessed data to help them build colossal businesses that dominate their sectors. The market for big data is growing rapidly.

Big Data 74

Big Data Data-driven Data Science Data Analytics 74

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. That’s equal to 44 zettabytes of data, or 44 trillion gigabytes.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

BI-Survey

AUGUST 1, 2019

Data is a central resource in the 21st century. Only those who manage to extract value from their data will remain competitive. For this reason, many organizations are looking at innovative ways of using their data to create value. Data products (i.e., Data monetization is at an early stage of adoption but is expanding.

Cost-Benefit 53

Cost-Benefit Reporting Data Quality Data-driven 53

In(tegrate) the Clouds

AUGUST 4, 2016

In my last post, I wrote about the new data integration requirements. In this post I wanted to share a few points made recently in a TDWI institute interview with SnapLogic founder and CEO Gaurav Dhillon when he was asked: What are some of the most interesting trends you’re seeing in the BI, analytics, and data warehousing space?

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IoT Internet of Things Data Lake Data Warehouse 45