IBM Big Data Hub

SEPTEMBER 11, 2023

This partnership gives clients the flexibility to choose the right mix of technologies for their needs, and IBM Consulting can help them scale those solutions enterprise-wide. Watsonx.data on AWS: Imagine having the power of data at your fingertips. The IBM and AWS partnership emerges as a lighthouse of innovation.

Data-driven 115

Data-driven Insurance Digital Transformation Data Warehouse 115

CDW Research Hub

APRIL 20, 2020

Many organizations move from a traditional data warehouse to a hybrid or cloud-based data warehouse to help alleviate their struggles with rapidly expanding data, new users and use cases, and a growing number of diverse tools and applications. Watch this video for a quick overview of the process.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 98

Data Warehouse Testing Data Lake Data-driven 98

AWS Big Data

APRIL 4, 2024

In the depicted architecture and our typical data lake use case, our data either resides n Amazon S3 or is migrated from on premises to Amazon S3 using replication tools such as AWS DataSync or AWS Database Migration Service (AWS DMS). Akhil is a Lead Consultant at AWS Professional Services.

Data Quality 63

Data Quality Data Lake Data Warehouse Data-driven 63

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

CIO Business Intelligence

JUNE 7, 2022

Successful AI teams also include a range of people who understand the business and the problems it’s trying to solve, says Bradley Shimmin, chief analyst for AI platforms, analytics, and data management at consulting firm Omdia. AI strategists can also help organizations obtain the data they need to fuel AI effectively.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

datapine

SEPTEMBER 27, 2022

The all-encompassing nature of this book makes it a must for a data bookshelf. 18) “The Data Warehouse Toolkit” By Ralph Kimball and Margy Ross. It is a must-read for understanding data warehouse design. 6) “SQL: QuickStart Guide – The Simplified Beginner’s Guide To SQL” By Clydebank Technology. Viescas, Douglas J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

datapine

MAY 21, 2019

Also, limited resources make looking for qualified professionals such as data science experts, IT infrastructure professionals and consulting analysts impractical and worrisome. In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

CIO Business Intelligence

SEPTEMBER 8, 2022

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer.

Cost-Benefit 119

Cost-Benefit Internet of Things Data-driven Data Lake 119

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 75

Dashboards Data Warehouse Visualization Data Processing 75

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. To configure AWS CLI interaction with AWS, refer to Quick setup. He is passionate about big data and data analytics. Apache Hive has performed pretty well for a long time.

Metadata 79

Metadata Testing Data Lake Consulting 79

AWS Big Data

APRIL 20, 2023

Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 76

Data Lake Data Warehouse Sales Data-driven 76

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning.

Data Quality 94

Data Quality Statistics Data Lake Visualization 94

AWS Big Data

MARCH 25, 2024

AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data. With Amazon Managed Service for Apache Flink Studio , you can build and run Apache Flink stream processing applications using standard SQL, Python, and Scala in an interactive notebook.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

AWS Big Data

MARCH 17, 2023

Amazon Athena is a serverless and interactive query service that allows you to easily analyze data in Amazon Simple Storage Service (Amazon S3) and 25-plus data sources, including on-premises data sources or other cloud systems using SQL or Python. He is a specialist in big data and data warehouses.

Visualization 92

Visualization Machine Learning Consulting Data Warehouse 92

InsightOut

AUGUST 6, 2021

Finally, the mutual embedding capability of Excel and other MS Office tools like Word and PowerPoint makes it easy to use the visualization across reports, office presentations, and more.xc2xa0 Excel is a great starting point to create data visualizations.

Visualization 52

Visualization Software Testing Data Warehouse 52

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

Cloudera

SEPTEMBER 12, 2018

Commonwealth Bank of Australia worked with Cloudera to implement a modern data platform with an AI-powered customer decisioning layer that dramatically improves how the bank interacts with its customers. The bank brought together 27 billion data points and uses AI to understand the next-best conversation 21 million times each weekday.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

datapine

JANUARY 24, 2021

.” – Capgemini and EMC² in their study Big & Fast Data: The Rise of Insight-Driven Business. You don’t have to do all the database work, but an ETL service does it for you; it provides a useful tool to pull your data from external sources, conform it to demanded standard and convert it into a destination data warehouse.

IT 317

IT Statistics KPI Data-driven 317

Ontotext

MARCH 8, 2023

Graphs reconcile such data continuously crawled from diverse sources to support interactive queries and provide a graphic representation or model of the elements within supply chain, aiding in pathfinding and the ability to semantically enrich complex machine learning (ML) algorithms and decision making.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Using Power Query, we will retrieve corporate data and produce powerful dashboards. Introduction to Power BI.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Using Power Query, we will retrieve corporate data and produce powerful dashboards. Introduction to Power BI.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Using Power Query, we will retrieve corporate data and produce powerful dashboards. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Using Power Query, we will retrieve corporate data and produce powerful dashboards. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 96

Data Warehouse Cost-Benefit Dashboards Optimization 96

IBM Big Data Hub

SEPTEMBER 26, 2023

Families also expect interactive experiences that drive outcomes tailored to their needs. IBM Consulting Cloud Accelerator (ICCA): This approach accelerates cloud adoption by creating a “wave plan” for migrating and modernizing workloads to cloud platforms.

Consulting 100

Consulting Cost-Benefit Technology Strategy 100

CIO Business Intelligence

DECEMBER 21, 2022

By 2025, it’s estimated we’ll have 463 million terabytes of data created every day,” says Lisa Thee, data for good sector lead at Launch Consulting Group in Seattle. Stout, for instance, explains how Schellman addresses integrating its customer relationship management (CRM) and financial data. “A

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

Jet Global

JULY 29, 2020

While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Also, implementation is costly and lengthy, often requiring consultants to build new reports or convert Discoverer reports to OBIEE, which takes as many as eight steps.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

datapine

NOVEMBER 11, 2021

Business intelligence tools provide you with interactive BI dashboards that serve as powerful communication tools to keep teams engaged and connected. Through powerful data visualizations, managers and team members can get a bigger picture of their performance to optimize their processes and ensure healthy project development.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

IBM Big Data Hub

MAY 9, 2023

As AI becomes more pervasive, businesses need to feel confident that their models can be relied upon not to “hallucinate” facts or use inappropriate language when interacting with customers. With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

CIO Business Intelligence

MAY 10, 2022

Data management consultancy, BitBang, says CDPs offer five key benefits : As a central hub for all your customer data, they help you build unified customer profiles. They eliminate data silos, and, unlike a traditional data warehouse, CDPs don’t require technical expertise to set up or maintain.

Advertising 116

Advertising Interactive Marketing Data Integration 116

AWS Big Data

FEBRUARY 13, 2023

We live in a data-producing world, and as companies want to become data driven, there is the need to analyze more and more data. These analyses are often done using data warehouses. Status quo before migration Here at OLX Group, Amazon Redshift has been our choice for data warehouse for over 5 years.

Snapshot 66

Snapshot Data Warehouse Testing Analytics 66

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. You also had the launch of smartphones.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Amazon Athena is used for interactive querying and AWS Lake Formation is used for access controls. Srinivas Kandi is a Data Architect at AWS Professional Services.

Data Lake 91

Data Lake Data Processing Metadata Snapshot 91

Smart Data Collective

FEBRUARY 20, 2022

The first step in building these defenses is to understand how users, administrators, or applications interact with a database. Before dwelling on the functionality of DAM solutions, let’s touch upon how they interact with databases that come with tools of their own for access auditing. DAM features.

Behavioral Analytics 116

Behavioral Analytics Risk Machine Learning Interactive 116

BizAcuity

OCTOBER 7, 2019

It also saves the organization’s licensing costs by limiting to a single data warehouse. Because of all the mergers and acquisitions, they ended up with several versions of data and information across various sources. They wanted to have a single consolidated data warehouse with unified data structures and process.

Consulting 65

Consulting Data Warehouse Strategy Modeling 65

BizAcuity

OCTOBER 7, 2019

It also saves the organization’s licensing costs by limiting to a single data warehouse. Because of all the mergers and acquisitions, they ended up with several versions of data and information across various sources. They wanted to have a single consolidated data warehouse with unified data structures and process.

Consulting 55

Consulting Data Warehouse Strategy Modeling 55