AltexSoft

MARCH 14, 2023

Built around a cloud data warehouse, data lake, or data lakehouse. Modern data stack tools are designed to integrate seamlessly with cloud data warehouses such as Redshift, Bigquery, and Snowflake, as well as data lakes or even the child of the first two — a data lakehouse.

IT 59

IT Data Warehouse Data Governance Data Lake 59

RandomTrees

FEBRUARY 6, 2024

Transformation: Shaping Data for the Future: LLMs facilitate standardizing date formats with precision and translation of complex organizational structures into logical database designs, streamline the definition of business rules, automate data cleansing, and propose the inclusion of external data for a more complete analytical view.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

OCTOBER 4, 2023

Fortunately, I have come across the premium Microsoft Power BI certification , which is exactly designed for professionals like me to learn at our own pace. While the numbers are impressive (and a little intimidating), what would we do with the raw data without context? Setting up effective data models requires a perfect layout.

BI 52

BI Systems Raw Data Business Intelligence 52

Snowflake

MARCH 30, 2023

Collecting, cleaning, and organizing data into a coherent form for business users to consume are all standard data modeling and data engineering tasks for loading a data warehouse. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 84

Engineering Raw Data Data Science Scala 84

Knowledge Hut

DECEMBER 22, 2023

Data science uses machine learning algorithms like Random Forests, K-nearest Neighbors, Naive Bayes, Regression Models, etc. They can categorize and cluster raw data using algorithms, spot hidden patterns and connections in it, and continually learn and improve over time. Non-Technical Data Science Skills 1.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Databand.ai

AUGUST 30, 2023

Unified DataOps represents a fresh approach to managing and synchronizing data operations across several domains, including data engineering, data science, DevOps, and analytics. The goal of this strategy is to streamline the entire process of extracting insights from raw data by removing silos between teams and technologies.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

Precisely

OCTOBER 5, 2023

According to the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, 77% of data and analytics professionals say data-driven decision-making is the top goal of their data programs. That’s where data enrichment comes in.

Raw Data 67

Raw Data Insurance Datasets Telecommunication 67

Monte Carlo

JULY 25, 2023

What is data curation? 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. Medallion architecture is a type of data curation.

Raw Data 52

Raw Data Data Warehouse Data Architecture 52

Databand.ai

AUGUST 30, 2023

Poor data quality: The lack of automation and data governance in legacy architectures can lead to data quality issues, such as incomplete, inaccurate, or duplicate data. They include the various databases, applications, APIs, and external systems from which data is collected and ingested.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

The Modern Data Company

APRIL 15, 2024

However, integrating data-driven approaches into our operations can seem daunting, primarily due to longstanding habits and traditional methods. But a chef needs the right tools and ingredients to make that perfect dish, and businesses require a well-designed system—or “machine”—to harness the power of data efficiently.

Building 52

Building Raw Data Food Data 52

Precisely

MARCH 9, 2023

We will also address some of the key distinctions between platforms like Hadoop and Snowflake, which have emerged as valuable tools in the quest to process and analyze ever larger volumes of structured, semi-structured, and unstructured data. Flexibility Data lakes are, by their very nature, designed with flexibility in mind.

Data Lake 57

Data Lake Data Warehouse Hadoop Raw Data 57

Knowledge Hut

OCTOBER 30, 2023

The role of a Power BI developer is extremely imperative as a data professional who uses raw data and transforms it into invaluable business insights and reports using Microsoft’s Power BI. Data Modeling: Support the development of data models by creating or maintaining simple data relationships and hierarchies.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Knowledge Hut

APRIL 25, 2024

Charts and graphs are combined in the business intelligence dashboard design to give viewers a comprehensive view of the scenario they are studying. By displaying the metrics pertinent to its role, industry, or platform, BI dashboard tools adapt to the demands of the individuals designing them rather than having a fixed, predetermined nature.

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

The Modern Data Company

MARCH 1, 2024

The JIT Revolution: Data Products to the Rescue Data Products offer a fundamentally different approach. Instead of forcing all data through a centralized bottleneck, they break it down into modular, self-contained units. Beyond the Analogy: A Closer Look at Data Products Think of a Data Product as a Lego brick.

Database-centric 40

Database-centric Data Lake Government Retail 40

DareData

JULY 5, 2023

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

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

Precisely

FEBRUARY 6, 2023

Data integrity also requires that the entire tapestry of data sources throughout an organization be woven together so that business users can develop a complete and meaningful picture of the things that matter most to them. That requires data integration to unlock the information stored in siloed systems.

Data Integration 52

Data Integration Data Governance Government Raw Data 52

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. At The Modern Data Company, our teams have been turning this vision into reality by leveraging data products as the bedrock of our approach.

Raw Data 75

Raw Data Utilities Government Data 75

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.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Monte Carlo

APRIL 4, 2023

For example, Snowflake offers data warehouses in different sizes and organizations may have several “data warehouses” to support different data use cases. A data mesh might leverage one or several cloud data warehouses depending on how closely the organization adheres to the dogma.

Data Warehouse 52

Data Warehouse Data Governance Data Architecture 52

Knowledge Hut

SEPTEMBER 26, 2023

Workspace is the platform where power BI developers create reports, dashboards, data sets, etc. Dataset is the collection of raw data imported from various data sources for the purpose of analysis. DirectQuery and Live Connection: Connecting to data without importing it, ideal for real-time or large datasets.

BI 52

BI Business Intelligence Raw Data Data Analysis 52

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. What is a data lake? Raw data store section.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

The Modern Data Company

APRIL 15, 2024

Make your data work for you by integrating it seamlessly across the organization, increasing its accessibility, and therefore, its value. The Essence of Data Products Data Products aren’t merely tools or datasets; they are catalysts for transformation designed to bridge the gap between raw data and actionable insights.

Raw Data 52

Raw Data Government Data Datasets 52

Monte Carlo

AUGUST 25, 2023

This same structure aids in maintaining data quality and simplifies how users interact with and understand the data. One advantage of data warehouses is their integrated nature. As fully managed solutions, data warehouses are designed to offer ease of construction and operation.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 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

Monte Carlo

MAY 19, 2022

When you infer some of Maxime’s original criteria–tedious tasks, low recognition, a lack of authority, and victim of operational creep– the data steward becomes the obvious choice. The data steward role is designed to solve some of the hardest challenges in data today: governance, compliance, and access.

Generalist 52

Generalist Data Governance Government Metadata 52

AltexSoft

NOVEMBER 10, 2021

The DW nature isn’t the best fit for complex data processing such as machine learning as warehouses normally store task-specific data, while machine learning and data science tasks thrive on the availability of all collected data. Another type of data storage — a data lake — tried to address these and other issues.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JULY 31, 2023

Methodology: Provide an overview of the research approach employed, encompassing the research design, methods for data collection, sample size determination, and the techniques used for data analysis. They manage data access, monitor data quality, and enforce data protection measures.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

Monte Carlo

NOVEMBER 14, 2023

Apache Iceberg is an open source data lakehouse table format developed by the data engineering team at Netflix to provide a faster and easier way to process large datasets at scale. It is designed to be easily queryable with SQL even for large analytic tables (we’re talking petabytes of data). Limited data type support.

Data Lake 64

Data Lake Metadata Data Warehouse SQL 64

Ascend.io

APRIL 7, 2023

Data products are easily searchable and shareable among business units, allowing any stakeholder to use them as-is or combine them with products from other domains to create more sophisticated analytics, models, and customer-facing solutions. The overarching philosophy of a data mesh is that it’s designed with data products in mind.

Metadata 52

Metadata Datasets Data Governance Government 52

Knowledge Hut

SEPTEMBER 28, 2023

Let’s check out its benefits: Power BI certification shows that you understand the tools and are capable of performing the following tasks: Data extraction and transformation: Power BI allows us to extract raw data, correct errors, sort data, and clean the file for faster analysis.

BI 52

BI Business Intelligence Certification Raw Data 52

AltexSoft

MAY 12, 2023

Data ingestion tools are software applications or services designed to collect, import, and process data from various sources into a central data storage system or repository. Data lakes offer a flexible and cost-effective approach for managing and storing unstructured data, ensuring high durability and availability.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

OCTOBER 8, 2023

You must be proficient in NoSQL and SQL for data engineers to help with database management. Data pipeline design - It's where you extract raw data from different data sources and export it for analysis. Data engineers must design efficient pipelines for easy transfer of data.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Monte Carlo

MAY 31, 2023

Companies that leverage CRMs might mitigate risks related to broad domain access by implementing a framework that includes data collection controls, human-error checks, restricted raw data access, cybersecurity countermeasures, and frequent data back-ups.

Building 52

Building Data Validation Healthcare Data Integration 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64

Cloudera

SEPTEMBER 15, 2022

The gathering in 2022 marked the sixteenth year for top data and analytics professionals to come to the MIT campus to explore current and future trends. A key area of focus for the symposium this year was the design and deployment of modern data platforms. See below. .

Data Lake 81

Data Lake Analytics Application Cloud Storage Architecture 81