Knowledge Hut

SEPTEMBER 26, 2023

Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

JULY 13, 2015

With more than 150 petabytes of data, approximately 3.5 billion user accounts and 30,000 databases, JPMorgan Chase is definitely a name to reckon with in the financial sector. Big data analytics helps JPMorgan identify the best set of products they can deliver to their customers.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

Knowledge Hut

NOVEMBER 2, 2023

Tools and Technologies Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Cosmos DB, Power BI. Skill Requirements Strong understanding of data engineering concepts, proficiency in SQL, Python, Azure services. While Data Engineers work in data-centric jobs, DevOps Engineers focus on software development efficiency.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

DECEMBER 27, 2023

But ‘big data’ as a concept gained popularity in the early 2000s when Doug Laney, an industry analyst, articulated the definition of big data as the 3Vs. The Latest Big Data Statistics Reveal that the global big data analytics market is expected to earn $68 billion in revenue by 2025. Some examples of Big Data: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Cloudera

JANUARY 24, 2022

The company used Cloudera Data Science Workbench to create data-centric applications and solutions. As you can imagine, searching a database that large is no easy task. It has recently added more than 325,000 new donors to its database. million in new loans.

Hospitality 65

Hospitality Database-centric Banking Medical 65

DataKitchen

NOVEMBER 4, 2021

It often takes months to progress from a data lake to the final delivery of insights. One data engineer called it the “last mile problem.” . In our many conversations about data analytics, data engineers, analysts and scientists have verbalized the difficulty of creating analytics in the modern enterprise.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Knowledge Hut

AUGUST 18, 2023

AWS Certified Data Analytics – Specialty (a) Certification Overview The AWS Certified Data Analytics – Specialty certification focuses on validating an individual's expertise in designing, building, securing, & maintaining analytics solutions on AWS. (b) Specialty 1.

AWS 52

AWS Certification Amazon Web Services Cloud 52

Knowledge Hut

JANUARY 30, 2024

Whether you're a seasoned data scientist or just stepping into the world of data, come with me as we unravel the secrets of data extraction and learn how it empowers us to unleash the full potential of data. What is data extraction? Patterns, trends, relationships, and knowledge discovered from the data.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

NOVEMBER 15, 2023

Example 5: Data Scientist looking for a demanding role having the highest degree of self-motivation. Looking for a position to test my skills in implementing data-centric solutions for complicated business challenges. My motto is to provide solutions to problems using data analytics, modeling, and solution architecture.

Finance 98

Finance Business Intelligence Database-centric Certification 98

Knowledge Hut

NOVEMBER 17, 2023

The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

OCTOBER 8, 2023

Not only that, but they are also responsible for working on web applications, content management systems, databases, and operating systems. I believe several analytical and problem-solving skills are essential to excel in this role. This is because data analytics will help you address major and minor issues associated with the project.

Software Engineer 52

Software Engineer Software Engineering Project Engineering 52

Knowledge Hut

FEBRUARY 6, 2024

AIOps/Analytics In the previous version of the DevOps periodic table, AIOps and Analytics were two distinct categories. Big data analytics , machine learning, and other AI frameworks and technologies are together referred to as Artificial Intelligence Operations or AIOps. Every firm has a database involved at some level.

Pipeline-centric 52

Pipeline-centric Database-centric AWS Manufacturing 52

Knowledge Hut

DECEMBER 7, 2023

Power BI is a robust business analytics tool developed by Microsoft, designed to transform raw data into visually appealing and interactive insights. Users may execute data transformations and develop data models by connecting to a variety of data sources, including databases, spreadsheets, and web services.

BI 52

BI Certification Business Intelligence Raw Data 52

DataKitchen

FEBRUARY 21, 2023

This is the equivalent advice for data teams provided to software teams in the classic “Mythical Man Month.” Brooks law (for data): “ Adding data engineer personpower to a late data project makes it later.” Shouldn’t Marcus consider upgrading his technology? A better ETL tool? Pick some other hot tool?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

ProjectPro

OCTOBER 3, 2016

News on Hadoop-September 2016 HPE adapts Vertica analytical database to world with Hadoop, Spark.TechTarget.com,September 1, 2016. To compete in a field of diverse data tools, Vertica 8.0 has expanded its analytical database support for Apache Hadoop and Spark integration and also to enhance Apache Kafka management pipeline.

Hadoop 52

Hadoop Database-centric Pipeline-centric Big Data 52

Knowledge Hut

OCTOBER 11, 2023

If you enjoy programming and want to work with IT systems, such as databases, networks, and software, a job as a software developer might be right for you. They might be in possession of an MBA or a Master of Science in Business Analytics, for instance.

Business Analyst 52

Business Analyst Database-centric Healthcare Programming Language 52

ProjectPro

JUNE 1, 2015

With doctors using the data from dedicated wearable fitness devices to personalize healthcare services to a patient, big data analytics is at the core of healthcare operations today.Data-driven decision making is changing models of treatment delivery in healthcare sectors. Today healthcare comes with many challenges.

Healthcare 52

Healthcare Big Data Database-centric Hospitality 52

François Nguyen

MARCH 22, 2021

With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services. You are starting to be an operation or technology centric data team. In this stage, you will never think about the configuration.

Technology 130

Technology Architecture Google Cloud Metadata 130

Knowledge Hut

NOVEMBER 27, 2023

GCP's worldwide network of data centers enables organizations to reach their consumers more efficiently by placing applications closer to their target audience, resulting in greater performance and lower latency. GCP offers various services like computational power, storage, databases, machine learning, networking, and security.

Google Cloud 52

Google Cloud Cloud Cloud Computing Pipeline-centric 52

Ascend.io

MAY 31, 2023

Data Transformation Because of the many variations of source systems, the data collected during the ingestion phase is often raw, messy, and unstructured. In the ETL world, data transformation is intended to change the structure of the source data to match a specific target database schema, usually in the context of a data warehouse.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

AltexSoft

JUNE 7, 2021

The framework provides a way to divide a huge data collection into smaller chunks and shove them across interconnected computers or nodes that make up a Hadoop cluster. As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. Data storage options. scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

JULY 3, 2023

Studying data in deeper detail can help to identify the inefficiencies, bottlenecks or anomalies hence leading to quick actions resulting in efficient operations and reduced costs. Appreciated Customer Experience: The industry focuses on customer-centric approaches to enhance the overall customer experience.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

AltexSoft

JULY 18, 2023

Whether you’re a data scientist, software engineer, or big data enthusiast, get ready to explore the universe of Apache Spark and learn ways to utilize its strengths to the fullest. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

DECEMBER 16, 2021

However, it is worth pointing out that with the changing scenario of Data Science, the focus is increasingly shifting to data-centric approaches rather than model-centric strategies, as quoted by Andrew NG, a prominent Data Scientist cum mentor, in a recent article.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Knowledge Hut

JUNE 26, 2023

Azure skills covers a wide spectrum of skills, including cloud infrastructure management, network virtualization, data analytics, artificial intelligence, & machine learning. Application Management Application management expertise is crucial in an Azure-centric ecosystem.

Cloud Computing 52

Cloud Computing Certification Pipeline-centric Database-centric 52

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Knowledge Hut

SEPTEMBER 21, 2023

As organizations are becoming more consumer centric, they see digital transformation as a way to innovate and develop new products, and also take advantage of the new business opportunities. Data Analytics: Track key performance indicators (KPIs) to measure the success of your product and identify areas for improvement.

Management 52

Management Recruitment Certification Portfolio 52

ProjectPro

SEPTEMBER 11, 2021

RUP is a procedure of software development that is “iterative, architecture-centric, and use-case driven” The RUP method involves listing requirements as use cases, which helps keep track of value to the lone business stakeholders for each piece of serviceability. What is a database cursor? What is the RUP method?

Business Analyst 52

Business Analyst Database-centric MySQL SQL 52

Knowledge Hut

DECEMBER 26, 2023

In other words, a Full Stack Developer is comfortable working with HTML, CSS, JavaScript, and PHP, as well as databases like MySQL. Additionally, they should have extensive knowledge of server-side technologies, such as Apache and NGINX, and database systems, such as MySQL and MongoDB.

Food 52

Food Programming Language Transportation Manufacturing 52

phData: Data Engineering

JULY 18, 2023

The good news is that there’s a concept called the Modern Data Stack that when utilized properly, consistently helps empower organizations to harness the full potential of their data. Throughout this journey, we’ve helped hundreds of clients achieve eye-opening results by moving to the Modern Data Stack.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

JULY 30, 2021

Big data analytics - Big data and Cloud technologies go hand in hand and essentially make systems faster, scalable, failsafe, high-performance, and cheaper. Compared to Cloud computing, Mobile computing is more customer-centric. Use cases are in-memory caches and open-source databases. Why use Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 18, 2021

Unsurprisingly, the world has become data-centric, and companies digitally store more than 90% of the global data. Tableau helps render data with rich visualization so that professionals at any level within the organization can extract value. Tableau allows us to connect and pull data from various platforms.

BI 40

BI Database-centric SQL Software Engineer 40

ProjectPro

APRIL 2, 2015

Retail big data analytics is the future of retail as it separates the wheat from the chaff. Retail industry is rapidly adopting the data centric technology to boost sales. Retailers who use predictive analytics achieve 73% higher sales than those who have never done it. billion in 2014 to $4.5

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

MAY 19, 2015

.” A researchreport by Markets and Markets Research anticipates that Hadoop and Big Data Analytics market will reach close to $13.9 This prediction is turning true as Hadoop is the technology being leveraged extensively to harness Big Data in 2015. billion from 2012 to 2017. ” “Hadoop is an emerging skill.

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40