The Modern Data Company

APRIL 15, 2024

The elegance of Data Products is undeniable, but many leaders question the efficacy of their data strategies: Why does the return on data investments often disappoint? Why is proving data’s value becoming harder? Why do data models become more cumbersome than beneficial? What Exactly Is a Data Product?

Government 52

Government Metadata Data Data Lake 52

Knowledge Hut

JANUARY 29, 2024

Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry. With the help of data science, one can gather all the critical analyses from vast chunks of data stored in clouds. In this model, the data is not 100% secure.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

Edureka

MAY 6, 2024

In today’s data-driven world, machine learning models play a huge role in developing sectors like healthcare, finance, transport, e-commerce, and so on. It involves collaboration between data scientists, ML engineers, and IT professionals to automate and optimize the end-to-end lifecycle of machine learning applications.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Databand.ai

MAY 30, 2023

6 Pillars of Data Quality and How to Improve Your Data Eric Jones May 30, 2023 What Is Data Quality? Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Data Engineering Weekly

APRIL 7, 2024

Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises. It is a stark difference from the Gartner report about data mesh. I guess only the time will tell who wins in the data mesh vs data fabric war.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Precisely

MARCH 12, 2024

Your competitors use data to target your customers, discover unmet needs, and explore new markets. If you’re not using data to your advantage, you risk falling behind the rest of the pack. Specifically, these leaders were focused on growing their revenue and increasing operational efficiency with advanced data analytics.

Insurance 52

Insurance Telecommunication Retail High Quality Data 52

Knowledge Hut

MARCH 29, 2024

With the affinity map UX design tool, scattered thoughts become structured plans, enhancing the design process and making it more satisfying. Dive into this in-depth guide on affinity mapping, where I'll cover everything you need to know to make your design journey smoother and elevate your projects to new heights.

Process 52

Process Designing Unstructured Data Raw Data 52

Data Engineering Weekly

MARCH 24, 2024

al6z: 16 Changes to the Way Enterprises Are Building and Buying Generative AI This report has a lot of interesting insight into the enterprise adoption of Gen AI. link] Kai Waehner: The Data Streaming Landscape 2024 This is a comprehensive overview of the state of the data streaming landscape in 2024.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Striim

FEBRUARY 26, 2024

Artificial intelligence (AI) uses information to make important choices in different industries. Just like a tall building needs a strong plan and base, successful AI requires good data models. Organizing, storing, and accessing data is important for AI. So how do we create these models for complex algorithms and systems?

Data Cleanse 52

Data Cleanse Business Intelligence Data Data Integration 52

Knowledge Hut

APRIL 23, 2024

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Data warehousing offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

ThoughtSpot

DECEMBER 19, 2023

As I reflect on the past year of The Data Chief, I continue to be filled with gratitude and inspiration. Together, we’re transforming the way data leaders, our teams, and our businesses value data. This is when ThoughtSpot’s Co-founder Amit Prakash , joined us on The Data Chief.

Entertainment 97

Entertainment Data Big Data Banking 97

Knowledge Hut

DECEMBER 22, 2023

It was released as a standalone product in July 2015 after adding more features including enterprise-level data connectivity and security options, apart from its original Excel features like Power Query, Power Pivot, and Power View. Microsoft developed it and combines business analytics, data visualization, and best practices.

BI 98

BI Business Intelligence Machine Learning Data Cleanse 98

Monte Carlo

MARCH 18, 2024

Data quality audits are a key way to ensure your business decisions are being informed by fresh, accurate, and up-to-date data. But, whether your data resides in a warehouse, lake, lakehouse, or on-prem, it’s important to take the time to assess the accuracy of your organization’s data.

Datasets 52

Datasets Data Pipeline BI Data 52

Knowledge Hut

JANUARY 29, 2024

In today's data-driven world, where information reigns supreme, businesses rely on data to guide their decisions and strategies. However, the sheer volume and complexity of raw data from various sources can often resemble a chaotic jigsaw puzzle. What Is Data Wrangling? Why Is Data Wrangling Important?

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Knowledge Hut

JANUARY 11, 2024

Data science has become popular in the last few years due to its successful application in making business decisions. Data scientists have been using data science techniques to solve challenging real-world issues in healthcare, agriculture, manufacturing, automotive, and many more.

Data Science 98

Data Science Transportation Hospitality Banking 98

Workfall

SEPTEMBER 18, 2023

Reading Time: 9 minutes Imagine your data as pieces of a complex puzzle scattered across different platforms and formats. Making sense of this scattered information often feels like solving a gigantic puzzle blindfolded. This is where the power of data integration comes into play.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Precisely

JANUARY 17, 2023

Technology helped to bridge the gap, as AI, machine learning, and data analytics drove smarter decisions, and automation paved the way for greater efficiency. With these goals in mind, access to accurate, consistent, and contextual information is critical. AI and machine learning initiatives play an increasingly important role.

Data Integration 97

Data Integration Data Cloud Computing Machine Learning 97

Snowflake

SEPTEMBER 27, 2023

From improving patient outcomes to increasing clinical efficiencies, better access to data is helping healthcare organizations deliver better patient care. Organizational data can deliver valuable insights, such as the availability of care delivery resources.

Healthcare 81

Healthcare Accessible Accessibility Hospitality 81

The Modern Data Company

JULY 18, 2023

Data Products Data products encompass several key aspects that contribute to their effectiveness and value in addressing data challenges and delivering actionable insights. These aspects ensure that data products are well-designed, user-centric, and aligned with business goals.

Data Governance 69

Data Governance High Quality Data Government Data 69

Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Monte Carlo

JANUARY 29, 2024

It’s one thing to get your data into a modern data cloud. Monte Carlo is thrilled to be part of the Snowflake Horizon partner ecosystem as we leverage many of the pre-built features Snowflake provides in order to help organizations reduce their data downtime and improve data quality at scale.

Metadata 64

Metadata High Quality Data Data Pipeline Machine Learning 64

The Modern Data Company

FEBRUARY 2, 2024

Ever wondered why building data-driven applications feels like an uphill battle? It’s not just you – turning raw data into something meaningful can be a real challenge. This prolonged timeline is not just a minor inconvenience; it is the bottleneck that hampers responsiveness and agility in decision-making.

Raw Data 75

Raw Data Utilities Government Data 75

Knowledge Hut

JANUARY 18, 2024

Data Science is an amalgamation of several disciplines, including computer science, statistics, and machine learning. As the world on the internet is becoming our second home, Big Data has exploded. Data Science is the study of this big data to derive a meaningful pattern.

Data Science 98

Data Science Amazon Web Services Finance Big Data 98

Cloudera

OCTOBER 24, 2023

But to truly drive transformation telcos must ensure AI models are driven by accurate, high-quality, trusted data, and determine how to manage and govern massive volume at scale. Second , trusted data forms the bedrock of trusted AI, as AI models are only as good as the quality of their underlying data platform.

Government 76

Government Finance Deep Learning Data Governance 76

Knowledge Hut

DECEMBER 22, 2023

Every business now incorporates data science into their operations, especially those that recognize the value of data and the potential applications of that knowledge. A data scientist's main responsibility is to draw practical conclusions from complicated data so that you may make informed business decisions.

Portfolio 98

Portfolio Data Science Programming Language Scala 98

Databand.ai

AUGUST 30, 2023

Data Testing Tools: Key Capabilities and 6 Tools You Should Know Helen Soloveichik August 30, 2023 What Are Data Testing Tools? Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

Knowledge Hut

MARCH 27, 2024

Throughout this piece, I'll share my experiences and insights, using real-world examples and case studies. Together, we'll navigate the evolving landscape of AI in software development, gaining practical insights into the future of this ever-changing field. This helps in keeping the codebase clean and manageable.

Software Engineer 52

Software Engineer Software Engineering Algorithm Coding 52

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Databand.ai

JUNE 8, 2023

Observability in Your Data Pipeline: A Practical Guide Eitan Chazbani June 8, 2023 Achieving observability for data pipelines means that data engineers can monitor, analyze, and comprehend their data pipeline’s behavior. This ensures the reliability and accuracy of data-driven decision-making processes.

Data Pipeline 52

Data Pipeline Bytes Raw Data Data Collection 52

Knowledge Hut

APRIL 23, 2024

Data handling became tedious only after huge amounts of it started to accumulate. For example, in 1880, the US Census Bureau needed to handle the 1880 Census data. They realized that compiling this data and converting it into information would take over 10 years without an efficient system.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

MARCH 20, 2024

From cost management to schedule adherence and quality assurance, control thresholds provide you with vital insights into project health and facilitate proactive decision-making. These thresholds are typically set for various project parameters such as cost, schedule, quality, and scope.

Project 52

Project Management Manufacturing Electronics 52

Striim

FEBRUARY 6, 2024

Their role in integrating real-time data is crucial, ensuring quality care and operational efficiency, two pillars essential for modern healthcare success. This challenge often stems from limited access to real-time patient data, which hinders the delivery of personalized care and robust patient engagement.

Hospitality 52

Hospitality Healthcare Electronics Medical 52

Data Engineering Weekly

JANUARY 21, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Interesting article on the impact of search engine optimization (SEO) on the quality of search engine results. Visit rudderstack.com to learn more.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

MARCH 26, 2024

The country's robust economy, welcoming immigration policies, and focus on innovation make it appealing for professionals looking for new opportunities. If you're looking to grow your career in a place that values innovation, diversity, and a good quality of life, Canada is an exciting option.

Medical 52

Medical BI Programming Language Healthcare 52