ProjectPro

SEPTEMBER 9, 2016

HCL employs a simple and intuitive assessment to identify the big data maturity of the customer and suggest appropriate course of action to leverage maximum potential of big data.

Hadoop 40

Hadoop Data Lake Big Data Cloud Computing 40

Monte Carlo

MAY 14, 2024

It enhances performance specifically for large-scale data processing tasks, offering advanced optimizations for superior data compression and fast data scans, essential in data warehousing and analytics applications.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

ProjectPro

MARCH 1, 2017

Two Tech giants, Hortonworks and IBM have partnered to enable IBM clients run hadoop analytics directly on IBM storage without requiring a separate analytic storage.IBM’s enterprise storage will be paired with Hortonworks analytics application so that clients can opt for either centralized or distributed deployments.

Hadoop 40

Hadoop Food Data Lake Banking 40

Knowledge Hut

JUNE 30, 2023

Data engineers are experts who specialize in the design and execution of data systems and infrastructure. They have unique skills, including competence in software engineering, data management, and analytics. Wrapping Up Data engineering is critical in organizing and translating data into valuable insights.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

DECEMBER 26, 2023

Given its status as one of the complete all-in-one analytics and BI systems available currently, the platform requires some getting accustomed to. Some key features include business intelligence, enterprise planning, and analytics application. You can discover your insights by posing and addressing your questions.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

AltexSoft

SEPTEMBER 23, 2021

This is the main part of data hub functionality since it gives administrators control over information used for different tasks. Sitting on top of the storages, the data hub acts as a dashboard for the data platform, enabling data management and delivery. Data hub architecture. Data hub platform providers.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Rockset

AUGUST 4, 2021

Organizations that depend on data for their success and survival need robust, scalable data architecture, typically employing a data warehouse for analytics needs. Snowflake is often their cloud-native data warehouse of choice.

Data Ingestion 40

Data Ingestion Cloud Storage Data Warehouse Architecture 40

Knowledge Hut

MARCH 15, 2024

3) DP-900: Microsoft Azure Data Fundamentals This certification is intended for candidates who are just starting out in the MS Azure learning path with cloud-based data management. It teaches the fundamentals of data principles and how to use Microsoft data services.

Cloud Computing 52

Cloud Computing Certification Algorithm SQL 52

ProjectPro

MAY 20, 2015

CRN editorial team, has appreciated this challenge taken up by various big data companies and identified the best big data and business analytics companies that are innovating out-of-the-box data management, business analytics and infrastructure services and technologies in the big data market.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

U-Next

MARCH 22, 2022

Karthik Kumar Kanderi comes with 4+ years of experience in Business intelligence & data management. Learners can improve their decision-making and problem-solving abilities by utilizing emerging technologies and tools. He had worked with various stakeholders and helped them make informed decisions by creating numerous dashboards.

Business Analyst 52

Business Analyst Business Intelligence Programming Certification 52

Striim

NOVEMBER 8, 2023

A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. The four data mesh principles aim to solve major difficulties that have plagued data and analytics applications for a long time.

Architecture 52

Architecture Generalist Government Datasets 52

Knowledge Hut

JULY 26, 2023

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. It includes the tools and functionality required to create, store, retrieve, and modify data in a database. Spatial Database (e.g.-

Database 52

Database NoSQL MongoDB Telecommunication 52

Rockset

FEBRUARY 25, 2021

Rockset supports full-featured SQL, enabling filtering, sorting, aggregating, and joining data in SQL. As the de facto language for data management, running SQL allows many users to easily access Rockset or port their queries from other databases to Rockset without any additional training.

SQL 40

SQL Data Pipeline Kafka Database 40

ProjectPro

MARCH 15, 2016

As per an estimate, nearly 30 Terabytes of data is added to their database on a monthly basis. Another example of Big Data management in the telecom industry comes from Nokia. They store and analyse massive volume of data from their manufactured mobile phones. The solution to this problem is straightforward.

Hadoop 40

Hadoop Retail Healthcare Banking 40

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

FEBRUARY 16, 2023

Learning SQL can help data engineers work more effectively with data analysts and data scientists as they share a common language for querying and analysing data. To analyze big data and create data lakes and data warehouses , SQL-on-Hadoop engines run on top of distributed file systems.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

phData: Data Engineering

JULY 18, 2023

To truly understand its potential, we need to explore the benefits it brings, particularly when transitioning from traditional data management structures. Why Migrate to a Modern Data Stack? This centralization streamlines data management. However, merely knowing what it consists of isn’t enough.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

JANUARY 31, 2023

Define Big Data and Explain the Seven Vs of Big Data. Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Multiple users cannot simultaneously write to the same HDFS file.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Cloudera

NOVEMBER 9, 2018

Since data fuels the growth of smart cities, it is crucial for governments to invest in data management and data security platforms, advanced analytics, and machine learning. Cost-effectively ingest, store and utilize data from all IoT devices.

Machine Learning 57

Machine Learning Banking Government Media 57

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications.

Big Data 52

Big Data Coding Project Hadoop 52