Smart Data Collective

NOVEMBER 18, 2020

Data Science is used in different areas of our life and can help companies to deal with the following situations: Using predictive analytics to prevent fraud Using machine learning to streamline marketing practices Using data analytics to create more effective actuarial processes. Where to Use Data Mining?

Data mining 143

Data mining Data Science Informatics Statistics 143

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Cost-Benefit 79

Cost-Benefit Data Warehouse Data Processing Data Governance 79

Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Data Processing 85

Data Processing IoT Cost-Benefit Digital Transformation 85

AWS Big Data

NOVEMBER 8, 2023

In today’s data-driven landscape, the quality of data is the foundation upon which the success of organizations and innovations stands. High-quality data is not just about accuracy; it’s also about timeliness. You’ll learn the “why” behind the solution and see it come to life—complete with the inevitable errors.

Data-driven 91

Data-driven Data Lake Machine Learning Cost-Benefit 91

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Cloudera

SEPTEMBER 2, 2020

In short, CDP Private Cloud is a game-changer for Cloudera partners as it provides opportunities to help their customers modernize their data platform by breaking up monolithic architectures without leaving their data centers! . Over a third of these Enterprises are actively executing on a strategy to move to hybrid IT.

Cost-Benefit 67

Cost-Benefit Data Warehouse Data Lake Machine Learning 67

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

CIO Business Intelligence

JANUARY 20, 2023

Trusted and governed data: Modern BI platforms can combine internal databases with external data sources into a single data warehouse, allowing departments across an organization to access the same data at one time.

Business Intelligence 135

Business Intelligence Dashboards Data mining OLAP 135

Cloudera

OCTOBER 25, 2022

The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

IBM Big Data Hub

MARCH 25, 2022

Nikita Shamgunov (Co-Founder of SingleStore) and I were seeing the signals in the market. One of the key challenges in distributed scale-out databases included how to deploy many hosts built with high availability and elasticity while keeping the familiar SQL interface. Co-developing with customers in gaming, banking and ridesharing.

Data-driven 70

Data-driven Data Warehouse Data Processing Marketing 70

Cloudera

JANUARY 3, 2019

Our pre-merger customer bases have very little overlap, giving us a considerable enterprise installed base whose demand for IoT, analytics, data warehousing, and machine learning continues to grow. We were first to bring it to market for the enterprise. Each of these trends, of course, depends entirely on data.

IoT 74

IoT Machine Learning Data Warehouse Enterprise 74

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards 77

Dashboards Data Warehouse Visualization Data Processing 77

IBM Big Data Hub

SEPTEMBER 27, 2023

The attack-path view shows which hosts and assets have been impacted, while the network activity view shows if data has leaked and lateral movement has happened where malicious actions have taken place. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 95

Cost-Benefit OLAP Dashboards Visualization 95

BizAcuity

MAY 10, 2022

The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022. Cloud washing is storing data on the cloud for use over the internet. The following timeline shows how the young cloud market blew almost as soon as it hit the markets. This gap sealed the domination of AWS in the market.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Cloudera

MARCH 22, 2022

The Covid-19 pandemic has resulted in an unprecedented global economic landscape that is dominated by loose monetary policies, low borrowing costs and influx of capital in the equity markets. data engineering, data warehousing etc.);

Strategy 80

Strategy Cost-Benefit Risk Data Processing 80

Jet Global

FEBRUARY 23, 2024

Data Integration Data integration is the process of connecting data from one system to another, such as when synchronizing customer data between marketing and sales platforms. This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. host') export PASSWORD=$(aws secretsmanager get-secret-value --secret-id $secret_name --query SecretString --output text | jq -r '.password')

Big Data 82

Big Data Data Processing Interactive Testing 82

CIO Business Intelligence

MARCH 16, 2022

King Price, a South Africa-based, privately held short-term insurance provider, were able to radically transform their business strategy, increasing system resilience, customer expansion and market adaptability in the process of adopting cloud technology. CIO Africa: How did you identify the specific project requirements?

Insurance 79

Insurance Cost-Benefit Data Processing Strategy 79

datapine

MARCH 31, 2022

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. This could involve anything from learning SQL to buying some textbooks on data warehouses.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Cloudera

APRIL 14, 2021

Data pipelines that are bursty in nature can leverage the public cloud CDE service while longer running persistent loads can run on-prem. This ensures that the right data pipelines are running on the most cost-effective engines available in the market today. .

Data Warehouse 82

Data Warehouse Data Processing Data Quality Machine Learning 82

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: . Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” First, data isn’t created in a uniform, consistent format.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

MAY 2, 2018

A Cloudera contingent, including Business Development, Marketing, Sales, and Software Engineering just got back from Qlik Qonnections in Orlando, Florida where the vibe to #DisruptEverything was strong! Global Technology Partner of the Year.

Analytics 44

Analytics Business Intelligence Data Science Data Processing 44

Cloudera

NOVEMBER 13, 2017

As the market moves toward cloud-based big data and analytics, three qualities emerge as vital for success. The net result is much improved productivity for data engineers, data scientists, and analysts. Unified – Conceptually, cloud sounds like a single place to host diverse, data-intensive functions.

Analytics 40

Analytics Big Data Machine Learning Cost-Benefit 40

Cloudera

AUGUST 21, 2020

There are now tens of thousands of instances of these Big Data platforms running in production around the world today, and the number is increasing every year. Many of them are increasingly deployed outside of traditional data centers in hosted, “cloud” environments. Streaming data analytics. .

Cost-Benefit 74

Cost-Benefit Big Data ROI Risk 74

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. How does CDO overlap with Market Research functions? Many data science labs are set up as shared services.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52