FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes.

Statistics 52

Statistics Data mining Visualization Reporting 52

DataKitchen

NOVEMBER 18, 2022

An effective DataOps observability solution requires supporting infrastructure for the journeys to observe and report what’s happening across your data estate. Logs and storage for problem diagnosis and visualization of historical trends. Data and tool tests. And she’ll know when newer data will arrive.

Testing 130

Testing Statistics Measurement Metrics 130

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. On the AWS Glue console, under ETL jobs in the navigation pane, choose Visual ETL. In the Create job section, choose Visual ETL.x

Data Quality 91

Data Quality Measurement Testing Visualization 91

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?” The challenge comes when the data becomes huge and fast-changing.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

BizAcuity

MAY 16, 2022

He went on to be the head brewer of Guinness and we thank him for not just great hand-crafted beers but subsequent research breakthroughs in statistical research as well. Data allowed Guinness to hold their market dominance for long. Data mining. Data mining allows refining and analyzing of the data on a near-real time basis.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

CIO Business Intelligence

JUNE 28, 2023

“We transferred our lab data—including safety, sensory efficacy, toxicology tests, product formulas, ingredients composition, and skin, scalp, and body diagnosis and treatment images—to our AWS data lake,” Gopalan says. This allowed us to derive insights more easily.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

AWS Big Data

FEBRUARY 6, 2023

In this post, we dive deep into the tool, walking through all steps from log ingestion, transformation, visualization, and architecture design to calculate TCO. With QuickSight, you can visualize YARN log data and conduct analysis against the datasets generated by pre-built dashboard templates and a widget.

Dashboards 75

Dashboards Optimization Data Lake Cost-Benefit 75

Sisense

JUNE 12, 2019

our annual client conference, I gave a presentation that took a deep dive into artificial intelligence and subgroups including AI, ML, and statistics. This includes such things as AI-powered data cleansing and modeling as well as general statistical analytics of the underlying data itself. Yesterday, during Eureka! ,

Analytics 75

Analytics Data-driven Dashboards IoT 75

Sisense

JUNE 30, 2020

In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. One of the downsides of the role that data now plays in the modern business world is that users can be overloaded with jargon and tech-speak, which can be overwhelming.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

AWS Big Data

FEBRUARY 14, 2023

Organizations have chosen to build data lakes on top of Amazon Simple Storage Service (Amazon S3) for many years. A data lake is the most popular choice for organizations to store all their organizational data generated by different teams, across business domains, from all different formats, and even over history.

Data Lake 80

Data Lake Statistics Data Architecture Finance 80

AWS Big Data

NOVEMBER 29, 2023

Zero-ETL integration also enables you to load and analyze data from multiple operational database clusters in a new or existing Amazon Redshift instance to derive holistic insights across many applications. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

Smart Data Collective

OCTOBER 17, 2022

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

Data Warehouse 131

Data Warehouse Data Lake Visualization Big Data 131

Alation

JULY 19, 2022

The traditional data science workflow , as defined by Joe Blitzstein and Hanspeter Pfister of Harvard University, contains 5 key steps: Ask a question. Get the data. Explore the data. Model the data. Communicate and visualize the results. A data catalog can assist directly with every step, but model development.

Metadata 59

Metadata Data Quality Statistics Data Science 59

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. A business intelligence dashboard, also known as a BI dashboard, is a tool that presents important business metrics and data points in a visual and analytical format on a single screen.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

CIO Business Intelligence

SEPTEMBER 22, 2023

What are the benefits of data management platforms? Modern, data-driven marketing teams must navigate a web of connected data sources and formats. All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Of course, marketing also works.

Management 106

Management Advertising Data Lake Sales 106

CIO Business Intelligence

JUNE 9, 2022

In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely. All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. SAS Data Management. Of course, marketing also works.

Management 144

Management Advertising Data Lake Sales 144

Cloudera

JULY 26, 2021

As a result, data platforms need to deliver multiple product attributes and features rather than focusing on a particular analytical output or intermediate analytical stage (e.g., data warehousing).

Strategy 117

Strategy Data Science Marketing Unstructured Data 117

Domino Data Lab

AUGUST 8, 2019

He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything. Historically, grad students in physics and physical sciences have been excellent candidates for data science teams. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Darkhorse

JULY 6, 2017

You see, 80% of your working hours will be spent wrangling the data. So what is data wrangling? Let’s imagine the process of building a data lake. First off, data wrangling is gathering the appropriate data. You’ve got yourself a little data lake, but its waters are brackish. Proceed visually.

Data Lake 74

Data Lake Sales Machine Learning Visualization 74

datapine

AUGUST 29, 2022

The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz. Khan Analytic Philosophy: A Very Short Introduction by Michael Beaney.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Sisense

DECEMBER 11, 2019

He talked through how the mind-blowing escalation of data and the drastic reduction in the cost of its storage has led to more complex, sophisticated uses of data and a shift in the way it’s managed and consumed. He concluded that data teams can influence the transformation of startups into unicorns. Omid Vahdaty, Jutomate.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. In 2023, we added support for column-level statistics for tables in the Data Catalog.

Data Lake 92

Data Lake Metadata Data Governance Statistics 92

Andrew White

JANUARY 11, 2021

As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? Does Data warehouse as a software tool will play role in future of Data & Analytics strategy?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. 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