18 Big Data Tools You Need To Know About

18 Big Data Tools You Need To Know About

In today’s digital transformation, big data has given organizations an edge to analyze customer behavior & hyper-personalize every interaction which results into cross-sell, improved customer experience, and obviously more revenue.

The market for Big Data has grown up steadily as more and more enterprises have implemented adata-driven strategy. While Apache Hadoop is the most well-established tool for analyzing big data, there are thousands of big data tools out there. All of them promising to save you time, money, and help you uncover never-before-seen business insights.

I have selected few to get you going….

Avro: It was developed by Doug Cutting & used for data serialization for encoding the schema of Hadoop files.

Cassandra: is a distributed and Open Source database. Designed to handle large amounts of distributed data across commodity servers while providing a highly available service. It is a NoSQL solution that was initially developed by Facebook. It is used by many organizations like Netflix, Cisco, Twitter.

Drill: An open source distributed system for performing interactive analysis on large-scale datasets. It is similar to Google’s Dremel, and is managed by Apache.

Elasticsearch: An open source search engine built on Apache Lucene. It is developed on Java, can power extremely fast searches that support your data discovery applications.

Flume: is a framework for populating Hadoop with data from web servers, application servers and mobile devices. It is the plumbing between sources and Hadoop.

HCatalog: is a centralized metadata management and sharing service for Apache Hadoop. It allows for a unified view of all data in Hadoop clusters and allows diverse tools, including Pig and Hive, to process any data elements without needing to know physically where in the cluster the data is stored.

Impala: provides fast, interactive SQL queries directly on your Apache Hadoop data stored in HDFS or HBase using the same metadata, SQL syntax (Hive SQL), ODBC driver and user interface (Hue Beeswax) as Apache Hive. This provides a familiar and unified platform for batch-oriented or real-time queries.

Share it:
Share it:

[Social9_Share class=”s9-widget-wrapper”]

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

You Might Be Interested In

Why Big Data and Data Scientists Are Overrated

8 Jun, 2017

What does it take to get value out of data? Many organizations assume that you need a big collection of …

Read more

Big Data: 17 Predictions Everyone Should Read

2 Dec, 2016

Almost everyone can agree that big data has taken the business world by storm, but what’s next?  Will data continue …

Read more

What to Look for in a Data Catalog

17 Mar, 2022

There’s no mistaking it: Data catalogs are hot. The product category has exploded in recent years as a way to …

Read more

Recent Jobs

Senior Cloud Engineer (AWS, Snowflake)

Remote (United States (Nationwide))

9 May, 2024

Read More

IT Engineer

Washington D.C., DC, USA

1 May, 2024

Read More

Data Engineer

Washington D.C., DC, USA

1 May, 2024

Read More

Applications Developer

Washington D.C., DC, USA

1 May, 2024

Read More

Do You Want to Share Your Story?

Bring your insights on Data, Visualization, Innovation or Business Agility to our community. Let them learn from your experience.

Get the 3 STEPS

To Drive Analytics Adoption
And manage change

3-steps-to-drive-analytics-adoption

Get Access to Event Discounts

Switch your 7wData account from Subscriber to Event Discount Member by clicking the button below and get access to event discounts. Learn & Grow together with us in a more profitable way!

Get Access to Event Discounts

Create a 7wData account and get access to event discounts. Learn & Grow together with us in a more profitable way!

Don't miss Out!

Stay in touch and receive in depth articles, guides, news & commentary of all things data.