CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Dataiku

MAY 3, 2023

Managing data transformations and maintaining the quality of your pipelines can take up the largest part of a team’s time, keeping you from building new projects and exploring different initiatives.

Data Transformation 52

Data Transformation Modeling Management 52

Domino Data Lab

JUNE 7, 2022

Features are input for machine learning models. The most efficient way to use them across an organization is in a feature store that automates the data transformations, stores them and makes them available for training and inference.

Machine Learning 64

Machine Learning Data Transformation Modeling 64

CIO Business Intelligence

FEBRUARY 16, 2023

“All they would have to do is just build their model and run with it,” he says. But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. For now, it operates under a centralized “hub and spokes” model.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

Smart Data Collective

OCTOBER 20, 2021

In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. The upsurge of data (with the introduction of non-traditional data sources like streaming data, machine logs, etc.)

Data Integration 119

Data Integration Machine Learning Big Data Data Transformation 119

Domino Data Lab

JUNE 6, 2022

Features are input for machine learning models. The most efficient way to use them across an organization is in a feature store that automates the data transformations, stores them and makes them available for training and inference.

Machine Learning 52

Machine Learning Data Transformation Modeling 52

AWS Big Data

APRIL 11, 2023

Finally, we can use Amazon SageMaker to build forecasting models that can predict inventory demand and optimize stock levels. ElastiCache manages the real-time application data caching, allowing your customers to experience microsecond response times while supporting high-throughput handling of hundreds of millions of operations per second.

Forecasting 76

Forecasting Management IoT Data-driven 76

CIO Business Intelligence

JANUARY 12, 2023

This has not been helped by the fact that universities have traditionally lagged the private sector in terms of cloud adoption, a key technology enabler for effective data storage and analysis. One thing holding universities back has been a reluctance to move away from traditional buying models.

Data Strategy 96

Data Strategy Strategy IT Consulting 96

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

Jen Stirrup

SEPTEMBER 30, 2021

They may also learn from evidence, but the data and the modelling fundamentally comes from humans in some way. Data Science – Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics includes the tools and techniques used to perform data analysis.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

JANUARY 24, 2024

Their large language models have poor or dirty data. Data cleansing tools are one way to address the problem, Johnson says. However, it comes back to a well thought out data strategy with a common data model” for entities, attributes, relationships, data types, constraints, hierarchies, and so on, he says.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

IBM Big Data Hub

APRIL 14, 2023

By leveraging this technology, they developed custom budget models for sales performance, human resources planning, operating expenses, and a complete profit and loss statement. Additionally, dashboards and reports were crafted based on the budget models and conducted variance analysis for specific areas.

Forecasting 69

Forecasting Sales Dashboards Reporting 69

DataKitchen

DECEMBER 9, 2022

DataOps involves close collaboration between data scientists, IT professionals, and business stakeholders, and it often involves the use of automation and other technologies to streamline data-related tasks. One of the key benefits of DataOps is the ability to accelerate the development and deployment of data-driven solutions.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

AWS Big Data

APRIL 26, 2023

We also split the data transformation into several modules (Data Aggregation, Data Filtering, and Data Preparation) to make the system more transparent and easier to maintain. Although each module is specific to a data source or a particular data transformation, we utilize reusable blocks inside of every job.

Manufacturing 123

Manufacturing Forecasting Data Lake Big Data 123

datapine

SEPTEMBER 29, 2022

Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business. These needs are then quantified into data models for acquisition and delivery. This person (or group of individuals) ensures that the theory behind data quality is communicated to the development team. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 105

Data Warehouse Testing Data Quality Reporting 105

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse). Apache Hive.

Metrics 86

Metrics Slice and Dice Data Warehouse Dashboards 86

AWS Big Data

MARCH 16, 2023

A source of unpredictable workloads is dbt Cloud , which SafetyCulture uses to manage data transformations in the form of models. Whenever models are created or modified, a dbt Cloud CI job is triggered to test the models by materializing the models in Amazon Redshift.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

BizAcuity

APRIL 1, 2023

Techniques to large data handling Power BI uses import models that are loaded with data, which is then compressed and optimized and then stored to disk. When source data is loaded into memory, it is possible to see 10x compression, and so it is reasonable to expect that 10 GB of source data can compress to about 1 GB in size.

Optimization 52

Optimization Dashboards Modeling Sales 52

Sisense

MARCH 30, 2021

Advanced data transformation with Custom Code. With our latest release, you can leverage Python code from Jupyter Notebooks to connect to services such as Amazon SageMaker, Amazon Comprehend, and Amazon Translate to transform and augment data inside your ElastiCube models. Enhanced live model connection parameters.

Dashboards 52

Dashboards Machine Learning Data Warehouse Marketing 52

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. Knowledge graphs model knowledge of a domain as a graph with a network of entities and relationships.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

BizAcuity

SEPTEMBER 21, 2022

Techniques to large data handling. Power BI uses import models that are loaded with data, which is then compressed and optimized and then stored to disk. When source data is loaded into memory, it is possible to see 10x compression, and so it is reasonable to expect that 10 GB of source data can compress to about 1 GB in size.

Optimization 52

Optimization Dashboards Modeling Sales 52

Cloudera

FEBRUARY 8, 2021

Development Environment for Data Scientists, Isolated, Containerized, and Elastic. Production ML Toolkit – Deploying, Serving, Monitoring, and Governance of ML models. Simple, drag-and-drop building of dashboards and apps with Cloudera Data Visualization. Now, let’s start testing our model! Go to runner.py

Machine Learning 74

Machine Learning Statistics Modeling Dashboards 74

DataRobot Blog

MARCH 10, 2022

By enabling data scientists to rapidly iterate through model development, validation, and deployment, DataRobot provides the tools to blitz through steps four and five of the machine learning lifecycle with AutoML and Auto Time-Series capabilities. Train, Compare, Rank, Validate, and Select Models for Production.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Cloudera

OCTOBER 13, 2020

Data Warehouse – in addition to a number of performance optimizations, DW has added a number of new features for better scalability, monitoring and reliability to enable self-service access with security and performance . Predict – Data Engineering (Apache Spark). New Services. Learn More, Keep in Touch.

Data Warehouse 96

Data Warehouse Machine Learning Visualization Data Lake 96

CIO Business Intelligence

OCTOBER 18, 2022

She decided to bring Resultant in to assist, starting with the firm’s strategic data assessment (SDA) framework, which evaluates a client’s data challenges in terms of people and processes, data models and structures, data architecture and platforms, visual analytics and reporting, and advanced analytics.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

Octopai

DECEMBER 11, 2022

It’s for that reason that even as the first BCBS-239 implementation deadline came into effect a few years ago, McKinsey reported that one-third of Global Systemically Important Banks had focused on “documenting data lineage up to the level of provisioning data elements and including data transformation.”.

Insurance 52

Insurance Risk Metadata Reporting 52

AWS Big Data

MARCH 13, 2024

You can modify the Lambda function to fetch additional vehicle information from a separate data store (for example, a DynamoDB table or a Customer Relationship Management system) to enrich the data, before storing the results in an S3 bucket. In this model, the Lambda function is invoked for each incoming event.

Analytics 95

Analytics IoT Metadata Internet of Things 95

IBM Big Data Hub

JULY 28, 2023

Our flagship data integration platform, DATA ONE , is designed to federate different technologies, platforms, data types and deployment models, with an intuitive user experience. It plans, manages and monitors integration flows, allowing clients to control data throughout its end-to-end lifecycle.

Data Integration 57

Data Integration Optimization Software Insurance 57

Ontotext

MARCH 20, 2024

Machine learning (ML): Gain deeper insights from your data with advanced algorithms for data-driven decision-making. Natural Language Processing (NLP): Understand and interpret the meaning of text data to extract valuable insights. Zenia Graph’s Salesforce Accelerator makes this a reality.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

CIO Business Intelligence

JUNE 13, 2022

According to Evanta’s 2022 CIO Leadership Perspectives study, CIOs’ second top priority within the IT function is around data and analytics, with CIOs seeing advancing organizational use of data as key to reaching enterprise objectives. Angel-Johnson shares that perspective. “I Colisto says he’s seizing on those opportunities. “IT

IT 144

IT Digital Transformation Strategy Internet of Things 144

Cloudera

AUGUST 3, 2022

The challenges of arbitrary code execution notwithstanding, there have been attempts to provide a stronger security model but with mixed results. By leveraging Hive to apply Ranger FGAC, Spark obtains secure access to the data in a protected staging area.

Snapshot 89

Snapshot Cost-Benefit Machine Learning Data Transformation 89

CDW Research Hub

OCTOBER 25, 2019

As we review data transformation and modernization strategies with our clients, we find many are investigating Snowflake as a data warehouse solution due to its ease of use, speed, and increased flexibility over a traditional data warehouse offering. Mapping a successful data migration can bring on rough weather.

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40

Octopai

OCTOBER 6, 2022

Find some training datasets from an early ( too early) venture into AI modeling? Now that you’re feeling free as a bird without all that extraneous data (or heaving a sigh of nostalgia for a particularly sentimental dataset), it’s time to take all the keepers and start the data mapping process. One of those can go. Scrap them.

Testing 52

Testing Visualization Data Transformation Strategy 52

Data Insight

NOVEMBER 7, 2019

Analytics in an agile organisation Data Insight’s very first DI Day welcomed an array of inspiring speakers. One of the members of our ‘Leaders in Data Transformation’ panel, Alex Tran, shared the lessons learnt on working Agile, a hot topic in organisations today.

Data Transformation 40

Data Transformation Modeling Management IT 40

AWS Big Data

DECEMBER 21, 2023

OpenSearch Service also has vector database capabilities that let you implement semantic search and Retrieval Augmented Generation (RAG) with large language models (LLMs) to build recommendation and media search engines. This enables organizations to streamline data integration and analytics with OpenSearch Service.

Analytics 97

Analytics IT Data Lake Visualization 97