ThoughtSpot

MARCH 5, 2024

Managing complex data pipelines is a major challenge for data-driven organizations looking to accelerate analytics initiatives. While AI-powered, self-service BI platforms like ThoughtSpot can fully operationalize insights at scale by delivering visual data exploration and discovery, it still requires robust underlying data management.

BI 94

BI Datasets Raw Data SQL 94

Knowledge Hut

DECEMBER 7, 2023

Welcome to the comprehensive guide for beginners on harnessing the power of Microsoft's remarkable data visualization tool - Power BI. In today's data-driven world, the ability to transform raw data into meaningful insights is paramount, and Power BI empowers users to achieve just that. What is Power BI?

BI 52

BI Raw Data Datasets Business Intelligence 52

Precisely

DECEMBER 13, 2023

Digital marketing is ideally suited for precise targeting and rapid feedback, provided that business users have access to the detailed demographic and geospatial data they need. Demographic data enrichment goes much further than that because it enables you to develop a far more detailed understanding of your target audience.

Raw Data 96

Raw Data Entertainment Data Validation Education 96

Christophe Blefari

APRIL 21, 2023

Access — you will be able to namespace models with groups and visibility. Data Engineering at Adyen — "Data engineers at Adyen are responsible for creating high-quality, scalable, reusable and insightful datasets out of large volumes of raw data" This is a good definition of one of the possible responsibilities of DE.

Raw Data 130

Raw Data Data Datasets SQL 130

Precisely

NOVEMBER 20, 2023

Identifying and correcting errors in your data consumes time and resources. Data integrity is multifaceted. That means adding context to your internal data by enriching it with information from trusted external sources. Imagine accessing more detail based on each customer’s home address. User trust and credibility.

Raw Data 118

Raw Data Insurance Data Retail 118

RandomTrees

FEBRUARY 6, 2024

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data lakes, distributed computing, containerization, serverless computing, machine learning, graph database, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities. Image by Author Let’s investigate each point separately.

Data Process 75

Data Process Process Raw Data Data 75

Knowledge Hut

MAY 30, 2024

A Survey on Edge Computing Systems and Tools Semantic Scholar With the rise in population, the data is multiplying by manifolds each day. The edge computing system can store vast amounts of data to retrieve in the future. It also provides fast access to information in need. Computer Science Research Topics 1.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

Monte Carlo

JULY 25, 2023

Data curation is the process of transforming and enriching larger amounts of raw data into smaller, more widely accessible subsets of data that provide additional value to the organization or the intended use case. In This Article: What is data curation?

Raw Data 52

Raw Data Data Warehouse Data Architecture 52

The Modern Data Company

APRIL 15, 2024

So, even if you’re an IC, it’s essential to understand the core impact of data strategies on business, which may trickle down to the execution wing from top to bottom. This isn’t just a fantasy; it’s the reality of implementing a Data Product Strategy. Think of it as the central hub of your data universe.

Raw Data 52

Raw Data Government Data Datasets 52

Knowledge Hut

APRIL 25, 2024

However, with Business intelligence dashboards, knowledge is dispersed throughout the organization, enabling users to produce interactive reports, utilize data visualization, and disseminate the knowledge with internal and external stakeholders. The IT departments no longer have exclusive access to information.

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

Towards Data Science

MAY 14, 2024

Dataform enables the application of software engineering best practices such as testing, environments, version control, dependencies management, orchestration and automated documentation to data pipelines. js for data transformations and logic. It is a serverless, SQL workflow orchestration workhorse within GCP. json config file.

Data Pipeline 71

Data Pipeline Coding Raw Data Accessible 71

U-Next

OCTOBER 27, 2022

You might be wondering, “ what is data cleaning?” ” It is an integral part of a process where the data needs to be cleaned before it can be used effectively by any organization or business. In recent times, the importance of data has increased exponentially. What Is Data Cleaning? . Introduction .

IT 40

IT Data Cleanse Datasets Bytes 40

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

U-Next

OCTOBER 16, 2022

The KDD process in data mining is used in business in the following ways to make better managerial decisions: . Data summarization by automatic means . Analyzing raw data to discover patterns. . This article will briefly discuss the KDD process in data mining and the KDD process steps. . What is KDD? .

Data Mining 40

Data Mining Process IT Raw Data 40

Knowledge Hut

JANUARY 29, 2024

However, the sheer volume and complexity of raw data from various sources can often resemble a chaotic jigsaw puzzle. It is in this intricate process of assembling, cleaning, and refining data that the magic of Data Wrangling unfolds. Why Is Data Wrangling Important?

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. What is Data Labeling for Machine Learning?

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

Databand.ai

JULY 6, 2023

7 Data Pipeline Examples: ETL, Data Science, eCommerce, and More Joseph Arnold July 6, 2023 What Are Data Pipelines? Data pipelines are a series of data processing steps that enable the flow and transformation of raw data into valuable insights for businesses.

Data Pipeline 52

Data Pipeline Data Science Raw Data Media 52

Towards Data Science

DECEMBER 23, 2023

We carefully select our catch, pulling data through the API and storing it in JSON format — a way of organizing our fish so that it’s easy to access and use later. Reading and transforming data with PySpark : With our catch on board, we use PySpark, our compass, to navigate through this sea of data.

SQL 72

SQL Data Analytics Hadoop Raw Data 72

Monte Carlo

OCTOBER 5, 2023

Data is pretty useless if you can’t act on it, but how do you share insights without crossing privacy lines or worrying that your counterparty mishandles the data? How data clean rooms work Data clean rooms combine and analyze different data sources without directly accessing the raw data.

Raw Data 52

Raw Data Medical Manufacturing AWS 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

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Knowledge Hut

SEPTEMBER 26, 2023

The insights derived from the data in hand are then turned into impressive business intelligence visuals such as graphs or charts for the executive management to make strategic decisions. In this post, we will discuss the top power BI developer skills required to access Microsoft’s power business intelligence software.

BI 52

BI Business Intelligence Raw Data Data Analysis 52

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

MAY 28, 2024

This involves connecting to multiple data sources, using extract, transform, load ( ETL ) processes to standardize the data, and using orchestration tools to manage the flow of data so that it’s continuously and reliably imported – and readily available for analysis and decision-making.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

AltexSoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Also, we’ll introduce you to the popular Big Data analytics tools and existing use cases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

JULY 4, 2023

It is a field of computer science that deals with the automatic identification of patterns and regularities in data. This is done by feeding the computer a set of training data that has already been labeled with the correct output. The computer then learns to identify the patterns in the data that correspond to the labels.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Ascend.io

NOVEMBER 21, 2023

Yet, looking into the complexities of today’s data-driven world, it becomes clear that ELT, while transformative at its inception, now forms just a part of an ever-evolving data landscape. This article revisits the foundational elements of ELT, exploring what it is, how it reshaped data strategies, and how it works.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Towards Data Science

FEBRUARY 19, 2024

It worked surprisingly well, in my opinion, but I couldn’t help wondering if it would be better with more data. books, but there are millions in the Openlibrary data set , and I thought it was worthwhile to try adding more options to the search space. We 15x’ed the data, which gives the search much more to work with.

AWS 59

AWS Building Bytes Python 59

U-Next

MARCH 7, 2023

ntroduction Data Analytics is an extremely important field in today’s business world, and it will only become more so as time goes on. By 2023, Data Analytics is projected to be worth USD 240.56 Change data capture, and change tracking are two features of SQL Server that track changes to data. What is an Outlier?

Data Mining 96

Data Mining Scala Government Data Governance 96

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

Precisely

JANUARY 8, 2024

As companies strive to make the most of their data and advanced analytics, front runners are discovering the unique value of physical location. Virtually every data point available has some kind of location component attached to it. Let’s dive in and explore some of the key trends in location intelligence for 2024.

Insurance 62

Insurance Telecommunication Retail Data Integration 62

Knowledge Hut

DECEMBER 26, 2023

What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. This is one of the major reasons behind the popularity of data science.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Striim

NOVEMBER 17, 2023

Striim serves as a real-time data integration platform that seamlessly and continuously moves data from diverse data sources to destinations such as cloud databases, messaging systems, and data warehouses, making it a vital component in modern data architectures.

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

Monte Carlo

JUNE 15, 2023

Potholes Don’t Go Away If You Change Lanes Benn mentions something I’ve also highlighted, which is you can’t outsmart or out-architect bad data. The road from raw data to reliable metric has a limitless variety of potholes; there can be no system, no matter how complete or comprehensive, that can tell us we’ve patched all of them.

IT 52

IT BI Machine Learning Software Engineer 52

DareData

JULY 5, 2023

To overcome this challenge, many companies are turning to Data Lake solutions, which provide a centralized and scalable platform for storing, processing, and analyzing data. We've seen this happen in dozens of our customers: data lakes serve as catalysts that empower analytical capabilities.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Towards Data Science

MARCH 9, 2023

Code implementations for ML pipelines: from raw data to predictions Photo by Rodion Kutsaiev on Unsplash Real-life machine learning involves a series of tasks to prepare the data before the magic predictions take place. Those are the features and their respective data types: Image 1 —Features and data types.

Machine Learning 75

Machine Learning Building Datasets Scala 75