Knowledge Hut

OCTOBER 4, 2023

It is because they help you generate dynamic reports and feature data modeling, complete data comparison, and more. Understanding Power BI Requirements As I have mentioned before, Power BI is a revolutionary, remarkable program that enables high-speed data integration and the creation of plenty of reports. Files Excel (.xlsx)

BI 52

BI Systems Raw Data Business Intelligence 52

Knowledge Hut

JANUARY 19, 2024

Business Intelligence Analyst Importance The proliferation of IoT-connected objects, IoT-based sensors, rising internet usage, and sharp increases in social media activity are all enhancing businesses' ability to gather enormous amounts of data. Examine data-processing workflows and deal with data inconsistencies.

Business Intelligence 52

Business Intelligence BI Business Analyst Finance 52

Striim

NOVEMBER 30, 2022

However, fragmented data can slow down the delivery of great product experiences and internal operations. We are excited to launch Striim Cloud on AWS: a real-time data integration and streaming platform that connects clouds, data and applications with unprecedented speed and simplicity.

AWS 52

AWS Cloud Management Google Cloud 52

Knowledge Hut

DECEMBER 29, 2023

They construct pipelines to collect and transform data from many sources. A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

phData: Data Engineering

SEPTEMBER 19, 2023

Data modeling methodologies are systematic approaches used to design and define the structure and relationships of data within a system. They provide a framework for organizing and representing data elements, attributes, and relationships. It follows a predefined schema and enforces data normalization and standardization.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Edureka

JULY 5, 2024

Data combining and reshaping: Supports operations like join, union, pivot, and split to integrate and structure data sources optimally for analysis in tools like Tableau Desktop. Ensure Data Quality: Address data quality issues such as duplicates and null values using Tableau Prep ’s Clean step.

Data Preparation 40

Data Preparation Process BI ETL Tools 40

Knowledge Hut

SEPTEMBER 21, 2023

To accomplish this, we leverage the power of Azure's data engineering tools and services. From Azure Data Factory for data integration and orchestration to Azure Databricks for large-scale data transformations, we use a diverse toolkit to engineer efficient data solutions. SQL is mastered by 82.0%

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

JULY 4, 2023

Data Engineer They do the job of finding trends and abnormalities in data sets. They create their own algorithms to modify data to gain more insightful knowledge. Programming languages like Python and SQL that deal with data structures are essential for this position.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Knowledge Hut

JANUARY 24, 2024

Their tasks in the data realm encompass a range of activities, such as: Data Gathering: The initial step involves collecting data from various sources, laying the foundation for subsequent analysis. Data Integration : Merging and harmonizing data from diverse origins to create a coherent dataset for thorough examination.

Database-centric 52

Database-centric Data Science Machine Learning Algorithm 52

ProjectPro

JULY 3, 2017

Comcast has made big investments in Hadoop technology to store and process petabytes of data that it collects from its operations. Most of the hadoop workload for $80 billion company involves execution of SQL queries to drive BI reporting. Whenever a SQL engine failed a test, it was given a penalty of 10 minutes. Spark 2.1,

Hadoop 52

Hadoop Food MongoDB Retail 52

Striim

SEPTEMBER 11, 2024

It offers scalable and high-performance tools that enable efficient data access and utilization. This layer integrates a variety of analytics tools tailored to different user needs and analytical methods. Additionally, it facilitates machine learning applications, allowing for advanced data analysis and predictive insights.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Striim

NOVEMBER 15, 2023

Striim has been selected as one of Microsoft’s top strategic partners for Microsoft Fabric integration. Today, Striim is excited to announce its new low-latency, open-format data integration and streaming service for Microsoft Fabric.

Retail 52

Retail BI Data Warehouse Business Analyst 52

Knowledge Hut

NOVEMBER 19, 2023

Top 10 Azure Data Engineer Tools I have compiled a list of the most useful Azure Data Engineer Tools here, please find them below. Azure Data Factory Azure Data Factory is a cloud ETL tool for scale-out serverless data integration and data transformation.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Knowledge Hut

JANUARY 18, 2024

SQL for data migration 2. The role can also be defined as someone who has the knowledge and skills to generate findings and insights from available raw data. The skills that will be necessarily required here is to have a good foundation in programming languages such as SQL, SAS, Python, R.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

MAY 31, 2023

To analyze the sales data, students can use different tools and languages. Students can use SQL to extract data from the database. Excel or Google Sheets can clean and analyze data for charts and graphs. To do this, students can use Excel to clean the data. SQL is used for data extraction.

Project 52

Project Datasets Media Python 52

AltexSoft

OCTOBER 30, 2021

Building data visualizations. To make data more understandable, it’s often visualized. Such visualizations as graphs and charts are typically prepared by data analysts or business analysts, though not every project has those people employed. Data warehousing. Machine learning techniques.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Knowledge Hut

JULY 26, 2023

Integrating data from different sources into the organization's databases, ensuring data accuracy as well as consistency Collaborations with stakeholders, like business analysts, database administrators, and even developers, to ensure all the data models are meeting the company's requirements.

Database 52

Database MySQL Certification SQL 52

AltexSoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

Process 69

Process Data Lake Metadata Data Warehouse 69

U-Next

SEPTEMBER 19, 2022

We live in a data-driven world where Business and Data Analytics is a trending science. Analytics is concerned with the discovery, interpretation, and processing of data. However, data and Business Analysts have many tools to select, and determining the ideal option for a particular project can be difficult.

BI 40

BI Business Intelligence Datasets Retail 40

ProjectPro

NOVEMBER 30, 2021

In extract-transform-load (ETL), data is obtained from multiple sources, transformed, and stored in a single data warehouse, with access to data analysts , data scientists , and business analysts for data visualization and statistical analysis model building, forecasting, etc.

Process 52

Process Data Pipeline Data Warehouse AWS 52