IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

Smart Data Collective

AUGUST 7, 2019

One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges. Data management platform.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

AWS Big Data

JULY 13, 2023

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better. Foundations for a data lake with data governance controls and data quality checks.

Optimization 91

Optimization B2B Data Quality Sales 91

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. With the amount of data being accumulated, it is easier when said.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 94

Data Lake Data Warehouse Machine Learning Cost-Benefit 94

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 82

Data Lake Data Warehouse Machine Learning Cost-Benefit 82

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It wasn’t possible to quickly scale up and down API service capacity to meet growing business demand.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift enables you to use SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning (ML) to deliver the best price-performance at scale. These upstream data sources constitute the data producer components.

Data Warehouse 92

Data Warehouse Data Lake Analytics Data Science 92

CIO Business Intelligence

MARCH 18, 2024

As more businesses look to carve out an advantage in an increasingly competitive market, many are turning toward cloud computing—particularly hybrid cloud approaches that blend the power of the mainframe with the innovation of the cloud—to make the most of their data. Hybrid Cloud

Cost-Benefit 86

Cost-Benefit Data Lake Machine Learning Data Integration 86

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

AWS Big Data

MAY 16, 2023

Application log challenges: Data management and compliance Application logs are an essential component of any application; they provide valuable information about the usage and performance of the system. The Data Lab has three offerings: the Build Lab, the Design Lab, and Resident Architect.

Data Lake 69

Data Lake Cost-Benefit Optimization Testing 69

AWS Big Data

APRIL 11, 2023

Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. In this post, we discuss how to streamline inventory management forecasting systems with AWS managed analytics, AI/ML, and database services. The solution includes the following components.

Forecasting 76

Forecasting Management IoT Data-driven 76

AWS Big Data

MAY 1, 2024

To provide a variety of products, services, and solutions that are better suited to customers and society in each region, we have built business processes and systems that are optimized for each region and its market. However, Excel is mainly designed for spreadsheets; it’s not designed for large-scale data analytics and automation.

Dashboards 111

Dashboards Publishing Data-driven Cost-Benefit 111

CDW Research Hub

JULY 27, 2021

Build the foundation for a logical data warehouse or logical data lake. Maintain one consistent business data model across all consumers and reporting tools. Reuse analytical objects across multiple tools and consuming applications.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Jen Stirrup

MAY 5, 2020

Organizations need to recast storing their data. It is more than just some giant USB stick in the sky that’s going to store all of the data. It has a lot of services that you can use, such as Big Data analytics. You can also use Azure Data Lake storage as well, which is optimized for high-performance analytics.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. The company has integrated data analysis throughout its organization to power decision making. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. filling in nulls, changing time zones, formatting strings, conditional logic, etc.)

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

JULY 12, 2023

However, some things are common to virtually all types of manufacturing: expensive equipment and trained human operators are always required, and both the machinery and the people need to be deployed in an optimal manner to keep costs down. We created a data lake, so we have access to all that data in a very efficient way,” says Papermaster.

Manufacturing 93

Manufacturing Cost-Benefit Data Lake Optimization 93

CIO Business Intelligence

MARCH 14, 2024

But the real benefit of advanced data analytics and automation tools is the dramatic reduction in business-critical system outages because IT is alerted before a blocking problem occurs. Large vendors tend to overlook the fact that standard solutions aren’t always optimal for a specific industry.

Digital Transformation 85

Digital Transformation Sales Forecasting Data Lake 85

CIO Business Intelligence

DECEMBER 13, 2022

Cullop also talks about DaVita’s strategies for AI and data analytics, as well as the importance of passion and culture as drivers of technology innovation. Tim Scannell: How much of a role do technologies like data analytics and AI play in DaVita’s overall technology and business strategy?

Strategy 94

Strategy Technology Digital Transformation Data Lake 94

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. The most common big data use case is data warehouse optimization.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

AWS Big Data

MARCH 3, 2023

From detailed design to a beta release, Tricentis had customers expecting to consume data from a data lake specific to only their data, and all of the data that had been generated for over a decade. Data export As stated earlier, some customers want to get an export of their test data and create their data lake.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

JULY 28, 2023

Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting. Big Data Architect on Amazon Athena. Let’s dive into the solution. Pathik Shah is a Sr.

Big Data 80

Big Data Data Architecture Data Lake Interactive 80

AWS Big Data

FEBRUARY 21, 2023

We dive deep into a hybrid approach that aims to circumvent the issues posed by these two and also provide recommendations to take advantage of this approach for healthcare data warehouses using Amazon Redshift. What is a dimensional data model? It optimizes the database for faster data retrieval. What is a data vault?

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

AWS Big Data

NOVEMBER 30, 2023

With AWS Glue, you can discover and connect to more than 100 diverse data sources and manage your data in a centralized data catalog. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

IT 96

IT Visualization Machine Learning Data Integration 96

IBM Big Data Hub

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. So, Alex and other business analysts could complete their projects faster.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Cloudera

JULY 9, 2018

What is the amalgam – or better yet – what is the glue that can bind business, IT, and data science together? The solution to these data science iron triangle dilemmas is the modern business intelligence platform. The modern BI platform provides a non-intimidating analytic platform for all data – big and small.

Machine Learning 42

Machine Learning Data Science Testing Visualization 42

Jet Global

SEPTEMBER 30, 2022

Understandably, optimizing cloud investment remains a top priority to ensure your company does not fall behind. What are the best practices for analyzing cloud ERP data? How can we respond in real time to the company’s analytic needs? Data Management. How do I access the legacy data from my previous ERP?

Reporting 52

Reporting Data Warehouse Operational Reporting Enterprise 52

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

Cloudera

OCTOBER 26, 2017

Become more agile with business intelligence and data analytics. Friction associated with getting a data sandbox has also resulted in the proliferation of spreadmarts , unmanaged data marts, or other data extracts used for siloed data analysis. Published originally on O’Reilly.com.

Cost-Benefit 43

Cost-Benefit Business Intelligence Data Warehouse Data Lake 43

CIO Business Intelligence

MARCH 2, 2023

The challenge of the CIO’s job at a financial institution, however, is to eliminate waste by redefining the entire business process while delighting the client and simultaneously maintaining compliance, says Woodring. Other CIOs concur that the business is the central consideration for automation efforts. million consumers.

Data Lake 141

Data Lake Forecasting B2B Optimization 141

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Explorer.

Data Lake 111

Data Lake Analytics Data Warehouse Machine Learning 111

Sisense

APRIL 26, 2020

It can work easily with most standard analytical models. Most BI tools also know how to work with it, allowing users to optimize resources from a technical perspective. Some examples of structured data are Excel files, Google Sheets , and traditional DataBase Management Systems (DBMS). It also requires less storage space.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52