Sisense

OCTOBER 15, 2020

One of the main challenges when dealing with streaming data comes from performing stateful transformations for individual events. Unlike a batch processing job that runs within an isolated batch with clear start and end times, a stream processing job runs continuously on each event separately. Feel free to explore your data now.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

NOVEMBER 9, 2023

As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform. Define data quality check task to test a package, generate docs and copy the docs to required S3 location data_quality_check = BashOperator( task_id='data_quality_check', dag=dag, bash_command=''' /usr/local/airflow/.local/bin/dbt

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

CIO Business Intelligence

JUNE 30, 2023

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

Internet of Things 78

Internet of Things Strategy Data Strategy Risk 78

IBM Big Data Hub

MAY 9, 2022

A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. Some of these, such as the continued sprawl of data across multicloud environments have been looming for years, if not decades. million each year [1] and $1.2 28, 2021. [2].

Management 56

Management Data Quality Metadata Data Integration 56

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

erwin

JUNE 11, 2020

Apply real-time data in marketing strategies. With real-time analytics, businesses are able to utilize information such as regional or local sales patterns, inventory level summaries, local event trends, sales history, or seasonal factors in reviving marketing models and strategies and directing them to better serve their customers.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

IBM Big Data Hub

NOVEMBER 24, 2023

Discovery focuses on understanding legacy application, infrastructure, data, interaction between applications, services and data and other aspects like security. Swagger files), component relationship diagram and component interaction diagrams.

Cost-Benefit 89

Cost-Benefit Testing Data-driven Enterprise 89

Ontotext

DECEMBER 1, 2023

The event held the space for presentations, discussions, and one-on-one meetings, where more than 20 partners, 1064 Registrants from 41 countries, spanning across 25 industries came together. According to him, “failing to ensure data quality in capturing and structuring knowledge, turns any knowledge graph into a piece of abstract art”.

Metadata 78

Metadata Sales Consulting Enterprise 78

Andrew White

NOVEMBER 14, 2022

These are the two major themes that were cemented for me with the usual dour tones expressed by attendees at the final event in Sydney last week. The uCatalog is a cute term coined by one attendee at the Sydney event that summarizes the position of many similar interactions. Saul Judah , a colleague of mine, nailed it.

Data Integration 52

Data Integration Technology Data Governance Analytics 52

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 82

Data Lake Data Governance Data Architecture Data Warehouse 82

bridgei2i

MAY 18, 2020

Maintain Communication: It’s crucial that customer interactions are maintained and that sales and customer success teams have joint interactions with customers to: Listen for any changes to the customer environment and resulting decisions. For Existing Customers. New customer acquisition. Connect with our experts here to know more.

B2B 52

B2B Sales ROI Marketing 52

Laminar Security

DECEMBER 1, 2023

DSPM is a term coined by Gartner to describe solutions that focus on discovering, classifying, and protecting sensitive data in cloud environments. DSPM solutions help organizations achieve data security compliance, reduce data breach risks, optimize cloud costs, and improve data quality, all while enabling data-driven innovation.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

Jet Global

JULY 2, 2019

All sources of data within your enterprise are tributaries for your data lake, which will collect all of your data, regardless of form, function, size, or speed. This is particularly useful when capturing event tracking or IoT data; though the uses of data lakes extend beyond just those scenarios.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

FineReport

APRIL 26, 2023

Unlike traditional databases, processing large data volumes can be quite challenging. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence. How to Choose the Right Big Data Analytics Tools? Enables Predictive Analytics on data.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

DataKitchen

SEPTEMBER 21, 2023

These layers help teams delineate different stages of data processing, storage, and access, offering a structured approach to data management. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift data sharing policies are established in Lake Formation and will be honored by all of your Redshift warehouses. Performance It is not uncommon for sub-second SLAs to be associated with data vault queries, particularly when interacting with the business vault and the data marts sitting atop the business vault.

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

Cloudera

JUNE 13, 2024

There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data. This was the gold rush of the 21st century, except the gold was data. But, What Happened to Hadoop?

Big Data 92

Big Data Machine Learning Contextual Data Data Lake 92

Jim Harris

SEPTEMBER 1, 2016

Although the fictional characters and stories of these movies are only projections, partial reflections of a reality created by the movie producers, since this illusion would represent the only reality you have ever known, to you the characters would be real people and the stories would be real events.

Interactive 61

Interactive IT Data Quality 61

CIO Business Intelligence

MAY 28, 2022

Amplitude CDP has been made available to Amplitude customers in an early access program this week and will be generally available later this year, the company said, adding that the platform will be free of charge for customers streaming fewer than 10 million events per month. CDP accelerates time to data insights.

Advertising 107

Advertising Forecasting Data Quality Marketing 107

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance. Candidates should be experienced full-stack developers for Salesforce B2C Commerce Digital.

Consulting 59

Consulting B2B Cost-Benefit Sales 59

CIO Business Intelligence

MAY 26, 2022

Amplitude CDP has been made available to Amplitude customers in an early access program this week and will be generally available later this year, the company said, adding that the platform will be free of charge for customers streaming fewer than 10 million events per month. CDP accelerates time to data insights.

Advertising 80

Advertising Forecasting Data Quality Marketing 80

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

AWS Big Data

JULY 27, 2023

In DataBrew, a recipe is a set of data transformation steps that you can author interactively in its intuitive visual interface. Then the claims data is ingested into the catalog (so it’s visible to analysts), after enriching it with some relevant details about the corresponding medical providers coming from a separate source.

Visualization 82

Visualization Cost-Benefit Data Quality Interactive 82

AWS Big Data

FEBRUARY 1, 2023

S3 bucket as landing zone We used an S3 bucket as the immediate landing zone of the extracted data, which is further processed and optimized. Lambda as AWS Glue ETL Trigger We enabled S3 event notifications on the S3 bucket to trigger Lambda, which further partitions our data. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

FineReport

MAY 25, 2023

An HR dashboard functions as an advanced analytics tool that utilizes interactive data visualizations to present crucial HR metrics. Similar to various other business departments, human resources is gradually transforming into a data-centric function. This helps in preventing errors and maintaining data quality.

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

AWS Big Data

JUNE 12, 2023

This data can come from a diverse range of sources, including Internet of Things (IoT) devices, user applications, and logging and telemetry information from applications, to name a few. By harnessing the power of streaming data, organizations are able to stay ahead of real-time events and make quick, informed decisions.

Management 79

Management Metadata Testing Internet of Things 79

Ontotext

MAY 22, 2023

Still, LLMs have a role to play – they can make our text analysis pipelines much more efficient for tasks like sentiment analysis, classification and event detection. Doug Kimball : Using our knowledge graph, you can develop more complex analytics, such as data mining, Natural Language Processing (NLP) and Machine Learning (ML).

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Peter James Thomas

AUGUST 12, 2018

However, often the biggest stumbling block is a human one, getting people to buy in to the idea that the care and attention they pay to data capture will pay dividends later in the process. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

DataRobot Blog

DECEMBER 20, 2022

As discussed in the previous article , these challenges may include: Automating the data preprocessing workflow of complex and fragmented data. Monitoring models in production and continuously learning in an automated way, so being prepared for real estate market shifts or unexpected events. Rapid Modeling with DataRobot AutoML.

Management 59

Management Machine Learning Optimization Modeling 59

Domino Data Lab

FEBRUARY 4, 2019

Hotel staff had to nudge people out of the hall, long after that event was supposed to close. First, aspiring data scientists would do well to read up on media studies. Interactive media plays a much larger role in our work than merely the presentations or blog posts. Lack of data, or data quality issues (silos).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

JULY 20, 2021

Invest in maturing and improving your enterprise business metrics and metadata repositories, a multitiered data architecture, continuously improving data quality, and managing data acquisitions. enhanced customer experiences by accelerating the use of data across the organization.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

datapine

JANUARY 31, 2022

As Dan Jeavons Data Science Manager at Shell stated: “what we try to do is to think about minimal viable products that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business”. The goals were multiple: revenue growth, customer satisfaction, and speed of service.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

APRIL 25, 2023

Looking for a tool that would enable us to democratize our data, we chose Amazon QuickSight , a cloud-native, serverless business intelligence (BI) service that powers interactive dashboards that lets us make better data-driven decisions, as a corporate solution for data visualization.

Visualization 52

Visualization IT Data-driven Reporting 52

O'Reilly on Data

MARCH 24, 2020

You may picture data scientists building machine learning models all day, but the common trope that they spend 80% of their time on data preparation is closer to the truth. This definition of low-quality data defines quality as a function of how much work is required to get the data into an analysis-ready form.

Machine Learning 352

Machine Learning Statistics Data Quality Modeling 352

Cloudera

APRIL 1, 2024

Cloudera’s real-time streaming service is unique in the industry because it not only delivers microbatch ingestion like other intelligent data platforms but also provides stream ingestion and stream data processing so you can process the stream in real time before ingesting the events into the lakehouse.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

AWS Big Data

AUGUST 14, 2023

Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). Monitoring and Event Management X X. Examples may include associated revenue, savings, or reductions in operational losses.

Management 79

Management Risk Measurement Optimization 79