Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations. It’s easy to see why.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Sisense

APRIL 26, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. 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. Structured vs unstructured data.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

AWS Big Data

NOVEMBER 30, 2023

In this post, we explore how to use the AWS Glue native connector for Teradata Vantage to streamline data integrations and unlock the full potential of your data. For those using Teradata for data analysis, integrations through the AWS Glue native connector for Teradata Vantage unlock new possibilities.

IT 94

IT Visualization Machine Learning Data Integration 94

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Cloudera

JANUARY 30, 2023

Have you ever considered how much data a single person generates in a day? One estimate states that “ on average, people will produce 463 exabytes of data per day by 2025.” Each of these employees generates volumes of data on a daily basis. What is dark data? Now consider that the federal government has approximately 2.8

IoT 79

IoT Data Architecture Data Lake Machine Learning 79

Cloudera

DECEMBER 13, 2022

How Agencies Can Gain the Cyber Edge with Smart Data Solutions. Or better yet, “How do we empower people with enterprise data solutions that amplify positive outcomes in the security operations center?”. The world is awash in data. Data is everywhere as an opportunity and a target for malicious actors.

Machine Learning 76

Machine Learning Experimentation Data Lake Data Processing 76

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 86

Data Lake Analytics Snapshot Optimization 86

IBM Big Data Hub

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data.

Modeling 60

Modeling Cost-Benefit Data Lake Machine Learning 60

AWS Big Data

MARCH 27, 2023

Data lakes have come a long way, and there’s been tremendous innovation in this space. Today’s modern data lakes are cloud native, work with multiple data types, and make this data easily available to diverse stakeholders across the business.

Data Lake 83

Data Lake Data-driven Management Data Architecture 83

IBM Big Data Hub

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. ” Romain Gaborit, CTO, Eviden, an ATOS business “We’re looking at the potential usage of Large Language Models. .

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

CIO Business Intelligence

JUNE 7, 2023

The third pillar of Bhagavathula’s cloud game plan includes the development of advanced applications not just for fans but for referees, players, teams, and coaches, all of whom rely more on data to improve their performance. We got about one million video views this season, which is more than triple last year’s total.”

Digital Transformation 52

Digital Transformation Recreation/Entertainment Machine Learning Data Lake 52

AWS Big Data

MARCH 29, 2024

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. In the following sections, Nexthink introduces their product and the need for scalability.

Cost-Benefit 89

Cost-Benefit Data-driven Metrics Management 89

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 84

Cost-Benefit Metadata Optimization Management 84

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

MARCH 3, 2023

The next phase of Tricentis’ journey is to unlock insights across all testing tools. In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

OCTOBER 30, 2018

The abundant growth of data, maturation of machine algorithms, and future regulatory compliance demands from the European Union’s General Data Protection Regulation (GDPR) will shift the landscape for creating a single source of the truth for customer data. Additionally, they only provide one piece of the puzzle.

Unstructured Data 42

Unstructured Data Data Lake Machine Learning Interactive 42

Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In our Event Spotlight series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. In this piece, we detail the Israeli debut of Periscope Data.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

CIO Business Intelligence

OCTOBER 11, 2022

To accelerate growth through innovation, the company is expanding its use of data science and artificial intelligence (AI) across the business to improve patient outcomes. . For example, as part of its efforts to unlock different human genomes, AstraZeneca is working toward the analysis of up to 2 million individual genomes by 2026.

Machine Learning 145

Machine Learning Data-driven Testing Data Science 145

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. You can use simple SQL to analyze structured and semi-structured data, operational databases, and data lakes to deliver the best price/performance at any scale.

Big Data 65

Big Data Data Warehouse Advertising OLAP 65

Alation

AUGUST 4, 2022

It’s been one decade since the “ Big Data Era ” began (and to much acclaim!). Analysts asked, What if we could manage massive volumes and varieties of data? What insights and new abilities might we unlock? Yet the question remains: How much value have organizations derived from big data?

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Lake 89

Data Lake Cost-Benefit Data-driven Dashboards 89

IBM Big Data Hub

JUNE 15, 2023

There’s no debate that the volume and variety of data is exploding and that the associated costs are rising rapidly. The proliferation of data silos also inhibits the unification and enrichment of data which is essential to unlocking the new insights. Enter the open data lakehouse.

Data Warehouse 96

Data Warehouse Data Lake Optimization Data-driven 96